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Quantum Computing in the NISQ era and beyond

Quantum Computing in the era and beyond

John Preskill · Quantum · 2018 · 8,680 citations

Quantum computers with 50-100 noisy qubits will soon beat classical machines at some tasks, but they won't transform computing until gates get far more accurate.

Score: 0
The Combine84 viewsF~QuantumComputing
The Gaia mission

The Gaia mission

T. Prusti, J. H. J. de Bruijne, A. G. A. Brown, A. Vallenari, C. Babusiaux + 95 more · Astronomy and Astrophysics · 2016 · 7,100 citations

ESA's Gaia satellite, launched in 2013 and orbiting 1.5 million km from Earth, is mapping the positions, motions and properties of over a billion stars.

Score: 0
The Combine66 viewsF~SpaceTech
The role of renewable energy in the global energy transformation

The role of renewable energy in the global energy transformation

Dolf Gielen, Francisco Boshell, Değer Saygin, Morgan Bazilian, Nicholas Wagner + 1 more · Energy Strategy Reviews · 2019 · 4,936 citations

Renewables plus energy efficiency could meet two-thirds of global energy demand by 2050 and deliver most of the emissions cuts needed to stay under 2 °C.

Score: 0
The Combine71 viewsF~Energy
Artificial intelligence in healthcare: past, present and future

Artificial intelligence in healthcare: past, present and future

Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li + 7 more · Stroke and Vascular Neurology · 2017 · 4,846 citations

A survey of how AI is already used in medicine — mostly cancer, neurology and cardiology — and what still blocks its use in real clinics.

Score: 0
The Combine61 viewsF~Healthtech
Machine Learning in Agriculture: A Review

in Agriculture: A Review

Κωνσταντίνος Λιάκος, Patrizia Busato, Dimitrios Moshou, Simon Pearson, Dionysis Bochtis · Sensors · 2018 · 3,287 citations

A survey of machine learning in farming finds it already predicts yields, spots diseases and weeds, and monitors livestock, soil and water from sensor data.

Score: 0
The Combine63 viewsF~Agtech
Deep learning for healthcare: review, opportunities and challenges

Deep learning for healthcare: review, opportunities and challenges

Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley · Briefings in Bioinformatics · 2017 · 3,122 citations

Deep learning can turn messy biomedical data into better health predictions, but its "black box" nature must be fixed before clinicians will trust it.

Score: 0
The Combine62 viewsF~Healthtech
Revolutionizing healthcare: the role of artificial intelligence in clinical practice

Revolutionizing healthcare: the role of artificial intelligence in clinical practice

Shuroug A. Alowais, Sahar S. Alghamdi, Nada Alsuhebany, Tariq Alqahtani, Abdulrahman Alshaya + 8 more · BMC Medical Education · 2023 · 3,077 citations

A review argues AI can outperform clinicians in tasks like diagnosis and dosing, but ethical, legal and expertise gaps still block safe adoption.

Score: 0
The Combine60 viewsF~Healthtech
The future of digital health with federated learning

The future of digital health with federated learning

Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth + 12 more · npj Digital Medicine · 2020 · 2,942 citations

Hospitals can train shared medical AI without sharing patient data — federated learning moves the model to the data, not the data to the model.

Score: 0
The Combine57 viewsF~Healthtech
A Review of Self-regulated Learning: Six Models and Four Directions for Research

A Review of Self-regulated Learning: Six Models and Four Directions for Research

Ernesto Panadero · Frontiers in Psychology · 2017 · 2,753 citations

Six major self-regulated learning theories largely agree and fit together, but which one works best depends on students' age and education level.

Score: 0
The Combine61 viewsF~Edtech
Global Carbon Budget 2020

2020

Pierre Friedlingstein, Michael O’Sullivan, Matthew W. Jones, Robbie M. Andrew, Judith Hauck + 81 more · Earth system science data · 2020 · 2,595 citations

Humans emitted about 11.2 billion tonnes of carbon a year in the 2010s; roughly half was absorbed by land and oceans, the rest stayed in the air.

Score: 0
The Combine24 viewsF~Climate
Survey of intrusion detection systems: techniques, datasets and challenges

Survey of intrusion detection systems: techniques, datasets and challenges

Ansam Khraisat, Iqbal Gondal, Peter Vamplew, Joarder Kamruzzaman · Cybersecurity · 2019 · 1,957 citations

A review of intrusion detection systems argues signature-based tools miss novel attacks while anomaly-based ones trigger false alarms, and evaluation datasets are outdated.

Score: 0
The Combine104 viewsF~Cybersecurity
Deep Learning Approach for Intelligent Intrusion Detection System

Deep Learning Approach for Intelligent Intrusion Detection System

R. Vinayakumar, Mamoun Alazab, K. P. Soman, Prabaharan Poornachandran, Ameer Al-Nemrat + 1 more · IEEE Access · 2019 · 1,896 citations

A deep neural network beats classical machine learning at spotting network and host intrusions across six benchmark attack datasets, and the authors propose a scalable real-time monitoring framework.

Score: 0
The Combine52 viewsF~Cybersecurity
Blended learning: the new normal and emerging technologies

Blended learning: the new normal and emerging technologies

Charles D. Dziuban, Charles R. Graham, Patsy Moskal, Anders Norberg, Nicole Sicilia · International Journal of Educational Technology in Higher Education · 2018 · 1,253 citations

Blended courses match or beat face-to-face and online options on student success and dropout rates, and students judge course quality by consistent rules regardless of format.

Score: 0
The Combine49 viewsF~Edtech
Machine Learning and Deep Learning Methods for Cybersecurity

Machine Learning and Deep Learning Methods for Cybersecurity

Yang Xin, Lingshuang Kong, Zhi Liu, Yuling Chen, Yanmiao Li + 4 more · IEEE Access · 2018 · 1,224 citations

A survey mapping how machine learning and deep learning are used to detect network intrusions, plus the datasets, limits, and open problems in the field.

Score: 0
The Combine53 viewsF~Cybersecurity
MXene molecular sieving membranes for highly efficient gas separation

membranes for highly efficient gas separation

Li Ding, Yanying Wei, Libo Li, Tao Zhang, Haihui Wang + 5 more · Nature Communications · 2018 · 1,125 citations

Stacked MXene nanosheets form uniform sub-nanometer channels that let hydrogen through 160 times faster than CO2, beating the best existing gas-separation membranes.

Score: 0
The Combine57 viewsF~MembraneSeparationAndGas
Machine Learning Applications for Precision Agriculture: A Comprehensive Review

Machine Learning Applications for : A Comprehensive Review

Abhinav Sharma, Arpit Jain, Prateek Gupta, Vinay Chowdary · IEEE Access · 2020 · 1,090 citations

Machine learning now underpins smart farming — predicting soil properties, crop yields, diseases, weeds, livestock health and automating irrigation and harvesting.

Score: 0
The Combine54 viewsF~Agtech
Hydraulic hydrogel actuators and robots optically and sonically camouflaged in water

Hydraulic actuators and robots optically and sonically camouflaged in water

Hyunwoo Yuk, Shaoting Lin, Chu Ma, Mahdi Takaffoli, Nicholas X. Fang + 1 more · Nature Communications · 2017 · 993 citations

Water-pumped hydrogel muscles make transparent soft robots that swim fast, kick balls, and catch a live fish while staying nearly invisible to eyes and sonar.

Score: 0
The Combine57 viewsF~Robotics
Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review

Using Artificial Intelligence in e-Learning: A

Ilie Gligorea, Marius Cioca, Romana Oancea, Andra-Teodora Gorski, Hortensia Gorski + 1 more · Education Sciences · 2023 · 913 citations

A review of 63 studies finds AI-driven adaptive e-learning personalizes learning paths and boosts engagement and test scores, though privacy and complexity remain obstacles.

Score: 0
The Combine53 viewsF~Edtech
The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture

The Path to Smart Farming: Innovations and Opportunities in

E. M. B. M. Karunathilake, Anh Tuan Le, Seong Heo, Yong Suk Chung, Sheikh Mansoor · Agriculture · 2023 · 756 citations

Drones, sensors, IoT and machine learning can raise crop yields while cutting waste, but cost, data management and slow farmer adoption still hold precision agriculture back.

Score: 0
The Combine52 viewsF~Agtech
AI-enabled adaptive learning systems: A systematic mapping of the literature

AI-enabled adaptive learning systems: A systematic mapping of the literature

Tumaini Kabudi, Ilias O. Pappas, Dag Håkon Olsen · Computers and Education Artificial Intelligence · 2021 · 712 citations

A review of 147 studies finds AI adaptive learning systems are mostly small-scale prototypes that rarely tackle students' real, specific learning problems.

Score: 0
The Combine53 viewsF~Edtech
Significance of machine learning in healthcare: Features, pillars and applications

Significance of machine learning in healthcare: Features, pillars and applications

Mohd Javaid, Abid Haleem, Ravi Pratap Singh, Rajiv Suman, Shanay Rab · International Journal of Intelligent Networks · 2022 · 647 citations

A review arguing machine learning can ease overburdened health systems by speeding diagnosis, personalising treatment, cutting costs and spotting outbreaks early.

Score: 0
The Combine21 viewsF~Healthtech
Interrupting long periods of sitting: good STUFF

Interrupting long periods of sitting: good STUFF

Geert M. Rutten, Hans H. C. M. Savelberg, Stuart Biddle, Stef Kremers · International Journal of Behavioral Nutrition and Physical Activity · 2013 · 500 citations

The authors coin "STUFF" (Stand Up For Fitness) — standing at least five minutes every half hour — as a catchy brand to make breaking up sitting spread.

Score: 0
The Combine51 viewsF~TotallyReal
The myth of generalisability in clinical research and machine learning in health care

The myth of in clinical research and machine learning in health care

Joseph Futoma, Morgan G. Simons, Trishan Panch, Finale Doshi‐Velez, Leo Anthony Celi · The Lancet Digital Health · 2020 · 454 citations

Chasing models that work everywhere can block machine learning that would actually help patients in a specific hospital — usefulness at the bedside should come first.

Score: 0
The Combine16 viewsF~Healthtech
Stuffed toys and speech perception

Stuffed toys and

Jennifer Hay, Katie Drager · Linguistics · 2010 · 367 citations

Seeing stuffed kangaroos and koalas versus kiwis changed how New Zealanders heard vowels, showing that irrelevant regional cues shift speech perception.

Score: 0
The Combine58 viewsF~TotallyReal
Digital twin for healthcare systems

for healthcare systems

Alexandre Vallée · Frontiers in Digital Health · 2023 · 336 citations

Virtual patient "digital twins" fed by real-time data could personalize treatment, flag health risks early, streamline hospital operations, and let clinicians rehearse procedures safely.

Score: 0
The Combine14 viewsF~AIEnabledConnectedHealth
Carbon mineralization pathways for carbon capture, storage and utilization

pathways for carbon capture, storage and utilization

Greeshma Gadikota · Communications Chemistry · 2021 · 238 citations

Turning CO2 into solid carbonate rock is energetically favorable and could both store carbon permanently and make useful materials — if the chemistry can be tuned.

Score: 0
Orbital and Collisional Evolution of the Irregular Satellites

Orbital and Collisional Evolution of the Irregular Satellites

David Nesvorn, J. L. Alvarellos, L. Dones, Harold F. Levison · The Astronomical Journal · 2003 · 230 citations

Solar gravity clears out highly tilted and distant prograde moons of the giant planets, explaining why surviving irregular satellites cluster where they do.

Score: 0
The Combine53 viewsF~SpaceTech
A review on underground gas storage systems: Natural gas, hydrogen and carbon sequestration

A review on systems: Natural gas, hydrogen and carbon sequestration

Manal Al-Shafi, Osama Massarweh, Ahmad S. A. Abushaikha, Yusuf Biçer · Energy Reports · 2023 · 199 citations

Underground rock formations can store natural gas, hydrogen and buried CO2, but hydrogen's light molecules make it leak and mix more, complicating storage.

Score: 0
The Combine14 viewsF~CarbonCaptureAndGeologic
Fintech Risk Management: A Research Challenge for Artificial Intelligence in Finance

Risk Management: A Research Challenge for Artificial Intelligence in Finance

Paolo Giudici · Frontiers in Artificial Intelligence · 2018 · 195 citations

Fintech's new lending, advisory and crypto platforms create risks traditional banking models can't measure, so AI and statistical learning must be built into financial risk management.

Score: 0
The Combine61 viewsF~Fintech
The Digital Twin in Medicine: A Key to the Future of Healthcare?

The Digital Twin in Medicine: A Key to the Future of Healthcare?

Tianze Sun, Xiwang He, Xueguan Song, Liming Shu, Zhonghai Li · Frontiers in Medicine · 2022 · 194 citations

Digital twins — live virtual replicas of individual patients — could enable precise diagnosis and personalized treatment, but data collection and simulation hurdles remain.

Score: 0
The Combine15 viewsF~AIEnabledConnectedHealth
Mineralization Technology for Carbon Capture, Utilization, and Storage

Mineralization Technology for Carbon Capture, Utilization, and Storage

Colin D. Hills, Nimisha Tripathi, Paula J. Carey · Frontiers in Energy Research · 2020 · 175 citations

Turning industrial wastes like slags and ashes into carbonate-cemented construction aggregates could lock away meaningful amounts of CO2 while making a saleable product.

Score: 0
Concepts and applications of digital twins in healthcare and medicine

Concepts and applications of digital twins in healthcare and medicine

Kang Zhang, Hong-Yu Zhou, Daniel Tomas Baptista‐Hon, Yuanxu Gao, Xiaohong Liu + 11 more · Patterns · 2024 · 148 citations

Digital twins — live virtual replicas of patients — could transform diagnosis and treatment, but biological variability, data gaps, and ethics still block real clinical use.

Score: 0
The Combine11 viewsF~AIEnabledConnectedHealth
Overview on Intrusion Detection Systems for Computers Networking Security

Overview on Intrusion Detection Systems for Computers Networking Security

Lorenzo Diana, Pierpaolo Dini, Davide Paolini · Computers · 2025 · 144 citations

A broad review of intrusion detection systems, mapping how they work today across cloud, IoT and industrial networks, and where AI and blockchain could take them next.

Score: 0
The Combine21 viewsF~Cybersecurity
Metaverse and Healthcare: Machine Learning-Enabled Digital Twins of Cancer

and Healthcare: Machine Learning-Enabled Digital Twins of Cancer

Omid Moztarzadeh, Mohammad Behdad Jamshidi, Saleh Sargolzaei, Alireza Jamshidi, Nasimeh Baghalipour + 2 more · Bioengineering · 2023 · 130 citations

Simple, fast classical machine-learning models can power real-time digital twins of breast cancer for monitoring, diagnosis and prediction inside the metaverse.

Score: 0
The Combine19 viewsF~Healthtech
Follow the Trail: Machine Learning for Fraud Detection in Fintech Applications

Follow the Trail: Machine Learning for Fraud Detection in Applications

Branka Stojanović, Josip Božić, Katharina Hofer-Schmitz, Kai Nahrgang, Andreas Weber⋆ + 4 more · Sensors · 2021 · 99 citations

Machine learning can spot fraudulent financial transactions, but detection rates vary widely by method and by which data features are used.

Score: 0
The Combine54 viewsF~Fintech
Deep learning based optimal energy management for photovoltaic and battery energy storage integrated home micro-grid system

Deep learning based optimal energy management for photovoltaic and battery energy storage integrated home micro-grid system

Md Morshed Alam, Md. Habibur Rahman, Md. Faisal Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang · Scientific Reports · 2022 · 98 citations

Pairing a Bi-LSTM forecaster with a scheduling optimizer lets a solar-plus-battery smart home cut its daily electricity bill under time-of-use pricing.

Score: 0
The Combine16 viewsF~EnergyF~MicrogridControlAnd
Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration

Biology and of : , sensing, and system integration

Luquan Ren, Bingqian Li, Guowu Wei, Kunyang Wang, Zhengyi Song + 3 more · iScience · 2021 · 94 citations

Soft robots still lag far behind living organisms in autonomy, self-repair and efficiency; copying biology's integrated sensing-actuation loops is the way to close the gap.

Score: 0
The Combine16 viewsF~Robotics
A Strategy for Multi-Objective Energy Optimization in Smart Grid Considering Renewable Energy and Batteries Energy Storage System

A Strategy for Multi-Objective Energy Optimization in Smart Grid Considering Renewable Energy and Batteries Energy Storage System

Ahmad Alzahrani, Mujeeb ur Rahman, Ghulam Hafeez, Gul Rukh, Sajjad H. Ali + 5 more · IEEE Access · 2023 · 85 citations

A genetic-algorithm scheduler for grids with wind, solar and batteries cut operating cost 59%, emissions 7%, and expected unserved load 2.67%.

Score: 0
The Combine17 viewsF~Energy
Advancing green finance: a review of climate change and decarbonization

Advancing : a review of climate change and

Chengbo Fu, Lei Lü, Mansoor Pirabi · Digital Economy and Sustainable Development · 2024 · 74 citations

Green finance is a central tool for cutting emissions, but it remains underexplored in mainstream economics and finance journals, this review argues.

Score: 0
The Combine18 viewsF~Climate
Digital Twins for Healthcare Using Wearables

Digital Twins for Healthcare Using Wearables

Zachary Johnson, Manob Jyoti Saikia · Bioengineering · 2024 · 70 citations

Wearable sensors can feed live biometric data into "human digital twins" — virtual patient copies used to predict disease, simulate trials, and monitor treatment remotely.

Score: 0
The Combine12 viewsF~AIEnabledConnectedHealth
Machine Learning Based on Resampling Approaches and Deep Reinforcement Learning for Credit Card Fraud Detection Systems

Machine Learning Based on Resampling Approaches and Deep Reinforcement Learning for Credit Card Fraud Detection Systems

Tran Khanh Dang, Thanh Cong Tran, Luc Minh Tuan, Mai Viet Tiep · Applied Sciences · 2021 · 69 citations

Resampling credit card fraud data before the train/test split inflates accuracy above 99%, a leak that collapses to 1.81% precision when done correctly; deep reinforcement learning fared worse at 34.8% accuracy.

Score: 0
Optimization of PV and Battery Energy Storage Size in Grid-Connected Microgrid

Optimization of PV and Battery Energy Storage Size in Grid-Connected Microgrid

Selahattin Garip, Şaban Özdemir · Applied Sciences · 2022 · 65 citations

Pairing a new energy-management rulebook with particle swarm optimization finds the cheapest combination of solar panels and battery storage for a grid-connected microgrid.

Score: 0
The Combine14 viewsF~EnergyF~MicrogridControlAnd
The Orbits of the Major Saturnian Satellites and the Gravity Field of Saturn from Spacecraft and Earth-based Observations

The Orbits of the Major Saturnian Satellites and the of Saturn from Spacecraft and Earth-based Observations

Robert A. Jacobson · The Astronomical Journal · 2004 · 60 citations

Combining 37 years of telescope data with Pioneer 11, Voyager and Cassini tracking yields updated orbits for Saturn's major moons and a revised Saturn gravity field.

Score: 0
The Combine18 viewsF~SpaceTech
Crop Yield Prediction in Precision Agriculture

Crop Yield Prediction in

Anikó Nyéki, Miklós Neményi · Agronomy · 2022 · 54 citations

Combining farm sensor data with big-data and AI methods can make crop yield forecasts far more useful than traditional statistical models alone.

Score: 0
The Combine55 viewsF~Agtech
A State-of-the-Art Review on Technology for Carbon Utilization and Storage

A State-of-the-Art Review on Technology for Carbon Utilization and Storage

Yafei Zhao, Ken-ichi Itakura · Energies · 2023 · 44 citations

Review of CO2 storage options argues mineral carbonation with industrial waste and microbubble injection offer the cheapest, leak-free routes, and proposes injecting both into underground cavities.

Score: 0
The Combine14 viewsF~CarbonCaptureAndGeologic
Personalized and adaptive learning

Personalized and

Rebeca Soler Costa, Qing Tan, Frédérique C. Pivot, Xiaokun Zhang, Harris Wang · Texto Livre Linguagem e Tecnologia · 2021 · 44 citations

Personalized and adaptive learning tech can harm students if applied blindly; educators must balance data-driven tailoring with real human diversity and support needs.

Score: 0
The Combine17 viewsF~Edtech
Intrusion Detection System for Network Security Using Novel Adaptive Recurrent Neural Network-Based Fox Optimizer Concept

Intrusion Detection System for Network Security Using Novel Adaptive Recurrent Neural Network-Based Concept

R. Manivannan, Senthilkumar Selvaraj · International Journal of Computational Intelligence Systems · 2025 · 33 citations

A recurrent neural network whose settings are tuned by a nature-inspired "fox" search algorithm detects network intrusions 4-15% more accurately than four competing deep learning models.

Score: 0
The Combine65 viewsF~Cybersecurity
A Sociotechnical Review of Carbon Capture, Utilization, and Storage (CCUS) Technologies for Industrial Decarbonization: Current Challenges, Emerging Solution, and Future Directions

A Sociotechnical Review of Carbon Capture, Utilization, and Storage () Technologies for Industrial Decarbonization: Current Challenges, Emerging Solution, and Future Directions

Ritu Bala, Manpreet Kaur, Himani Thakur, Piyush Kashyap, Arun Karnwal + 1 more · International Journal of Chemical Engineering · 2025 · 32 citations

Carbon capture technology for heavy industry is technically feasible but stalled by high energy costs, weak incentives, thin regulation, and public distrust — not just engineering limits.

Score: 0
The Combine52 viewsF~Climate
Intrusion detection system for controller area network

for controller area network

Vinayak Tanksale · Cybersecurity · 2024 · 31 citations

A lightweight LSTM-based system can spot attacks on a car's internal CAN network in near real time without the overhead of encryption.

Score: 0
The Combine55 viewsF~Cybersecurity
A Systematic Review of Machine Learning in Credit Card Fraud Detection Under Original Class Imbalance

A Systematic Review of Machine Learning in Credit Card Fraud Detection Under Original

Nazerke Baisholan, J. Eric Dietz, Sergiy Gnatyuk, Mussa Turdalyuly, Eric T. Matson + 1 more · Computers · 2025 · 29 citations

Reviewing only fraud-detection studies that keep real-world class imbalance, researchers find overused benchmark datasets, tree-based models dominating, misleading metrics, and almost no usable explainability.

Score: 0
Smart District Energy Management With Cooperative Microgrids

Smart District Energy Management With Cooperative Microgrids

Michèle Roccotelli, Agostino Marcello Mangini, Maria Pia Fanti · IEEE Access · 2022 · 27 citations

A central district controller schedules shared solar, batteries and electric-vehicle storage across cooperative microgrids, cutting costly last-minute electricity purchases even when demand and generation are uncertain.

Score: 0
The Combine15 viewsF~EnergyF~MicrogridControlAnd
Integrating the Internet of Things (IoT) in SPA Medicine: Innovations and Challenges in Digital Wellness

Integrating the Internet of Things (IoT) in SPA Medicine: Innovations and Challenges in Digital Wellness

Mario Casillo, L. Cecere, Francesco Colace, Angelo Lorusso, D. Santaniello · De Computis · 2024 · 21 citations

Smartwatches and machine learning can track spa patients' vital signs in real time, letting thermal-water therapies be personalized and measurably therapeutic rather than merely relaxing.

Score: 0
The Combine12 viewsF~AIEnabledConnectedHealth
Decarbonizing the Atmosphere Using Carbon Capture, Utilization, and Sequestration: Challenges, Opportunities, and Policy Implications in India

Decarbonizing the Atmosphere Using Carbon Capture, Utilization, and Sequestration: Challenges, Opportunities, and Policy Implications in India

Abhishek Kumar Gupta, Akshoy Ranjan Paul, Suvash C. Saha · Atmosphere · 2023 · 21 citations

India can cut emissions with carbon capture, but only if costs fall, technology scales up, and clear safety and storage regulations are written first.

Score: 0
The Combine13 viewsF~Climate
A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security

A Lightweight Intrusion Detection System with Dynamic Feature Fusion for Vehicular Network Security

Junjun Li, Yanyan Ma, Jiahui Bai, Cong Chen, Ting-Ting Xu + 1 more · Italian National Conference on Sensors · 2025 · 17 citations

A federated learning intrusion detector spots attacks on car networks with over 99% F1 score using just 1.11 MB of memory.

Score: 0
The Combine56 viewsF~Cybersecurity
A comprehensive review of cybersecurity challenges and resilience strategies in renewable energy integration with battery storage for sustainable smart grids

A comprehensive review of cybersecurity challenges and resilience strategies in renewable energy integration with battery storage for sustainable smart grids

Md. Mamunur Rashid, Zarin Mosarat, A.K.M. Ahasan Habib, Arnob Ghosh, Kazi Sajedur Rahman + 5 more · Results in Engineering · 2025 · 13 citations

Connecting solar, wind and batteries to digital grids opens serious hacking routes, and current defenses lack real-time detection, cross-domain data protection and harmonized policy.

Score: 0
The Combine17 viewsF~CybersecurityF~Energy
Strengthening health monitoring: Intention and adoption of Internet of Things-enabled wearable healthcare devices

Strengthening health monitoring: Intention and adoption of Internet of Things-enabled wearable healthcare devices

Qing Yang, Abdullah Al Mamun, Mengling Wu, Farzana Naznen · DIGITAL HEALTH · 2024 · 8 citations

Older Chinese adults adopt smart wearable health devices mainly when personal and social moral norms — rooted in health values and awareness of consequences — push them to.

Score: 0
The Combine14 viewsF~AIEnabledConnectedHealth
A Solution for the Health Data Sharing Dilemma: Data-Less and Identity-Less Model Sharing Through Federated Learning and Digital Twin-Assisted Clinical Decision Making

A Solution for the Health Data Sharing Dilemma: Data-Less and Identity-Less Model Sharing Through and -Assisted Clinical Decision Making

Nilmini Wickramasinghe, Nalika Ulapane · Electronics · 2025 · 7 citations

Hospitals can share trained AI models instead of patient data, letting them build digital twins for clinical decisions without exposing anyone's records.

Score: 0
The Combine53 viewsF~Healthtech
Scoping review: Machine learning interventions in the management of healthcare systems

: Machine learning interventions in the management of healthcare systems

Oritsetimeyin V Arueyingho, Anmar Al-Taie, Claire McCallum · DIGITAL HEALTH · 2024 · 7 citations

A review of a decade of studies finds only six rigorous papers on machine learning for healthcare system management, mostly covering records, chatbots and disease prediction.

Score: 0
The Combine56 viewsF~Healthtech
Simulation-Based Testing of Autonomous Robotic Systems for Surgical Applications

Simulation-Based Testing of Autonomous Robotic Systems for Surgical Applications

Jun Lin, Tiantian Sun, Rihui Song, Di Zhu, Lang-Zhou Liu + 3 more · Actuators · 2025 · 6 citations

Simulated stress-testing of a needle-insertion surgical robot, paired with a digital twin, uncovered real software flaws and measurable gaps between virtual and physical behavior.

Score: 0
The Combine12 viewsF~Robotics
Manufacturing and Characterization of Corrosion Resistant Epoxy/2Pack Coatings Incorporated with Polyaniline Conductive Polymer

Manufacturing and of Corrosion Resistant Epoxy/2Pack Coatings Incorporated with Conductive Polymer

Ubair Abdus Samad, M. A. Alam, El-Sayed M. Sherif, O. Alothman, A. Seikh + 1 more · International Journal of Electrochemical Science · 2015 · 6 citations

Adding the conductive polymer polyaniline to epoxy "2Pack" paint is tested as a way to make steel coatings better at resisting corrosion.

Score: 0
The Combine62 viewsF~Materials
A Framework for Real-Time Crop Monitoring and Yield Optimisation: Improving Precision Agriculture with IoT-Driven Sensor Networks and Data Analytics

A Framework for Real-Time Crop Monitoring and Yield Optimisation: Improving with IoT-Driven Sensor Networks and Data Analytics

A. H. Shnain, G. Mohammed, Yalla Jeevan, Nagendra Kumar · SHS Web of Conferences · 2025 · 5 citations

A network of field sensors feeding live soil and weather data into predictive algorithms helped farmers raise crop yields and cut wasted water and fertiliser.

Score: 0
The Combine57 viewsF~Agtech
AI Powered Credit Scoring and Fraud Detection Models for Financial Technology Applications

AI Powered and Fraud Detection Models for Financial Technology Applications

Nagendra Harish Jamithireddy · Research Briefs on Information and Communication Technology Evolution · 2023 · 3 citations

Machine learning ensembles and neural networks beat traditional rule-based credit scoring and fraud detection on precision, recall and AUC, while staying explainable.

Score: 0
The Combine10 viewsF~Fintech
AI Powered Credit Scoring and Fraud Detection Models for Financial Technology Applications

AI Powered and Fraud Detection Models for Financial Technology Applications

Nagendra Harish Jamithireddy · Research Briefs on Information and Communication Technology Evolution · 2023 · 3 citations

Machine-learning ensembles and neural networks beat traditional rule-based credit and fraud models on precision, recall and AUC, while staying explainable enough for real use.

Score: 0
The Combine25 viewsF~Fintech
Hybrid Renewable Systems Integrating Hydrogen, Battery Storage and Smart Market Platforms for Decarbonized Energy Futures

Hybrid Renewable Systems Integrating Hydrogen, Battery Storage and Smart Market Platforms for Decarbonized Energy Futures

A. Barac, M. Holik, Kristijan Ćurić, M. Stojkov · Energies · 2026 · 3 citations

Solar panels paired with batteries, hydrogen storage and blockchain trading cut household grid electricity use by 45–50% and CO2 by up to 70% in simulations.

Score: 0
The Combine25 viewsF~Energy
Adaptive Credit Card Fraud Detection: Reinforcement Learning Agents vs. Anomaly Detection Techniques

Adaptive Credit Card Fraud Detection: Reinforcement Learning Agents vs. Techniques

Houda Ben Mekhlouf, Abdellatif Moussaid, Fadoua Ghanimi · FinTech · 2026 · 2 citations

A learning-as-it-goes reinforcement learning agent starts out worse than statistical anomaly detection at catching card fraud but keeps improving as fraud tactics change.

Score: 0
The Combine52 viewsF~Fintech
Enhancing early detection and accuracy in image-based network intrusion detection systems

Enhancing early detection and accuracy in image-based network intrusion detection systems

Alshaimaa Abo-Alian, Alaa Prince AbdelHalim, Nagwa Badr · Cybersecurity · 2026 · 1 citations

Turning just five consecutive network packets into an RGB image lets a lightweight intrusion detector spot attacks early with 99% accuracy.

Score: 0
The Combine47 viewsF~Cybersecurity
Carbon Capture Storage dan Carbon Capture Utilization Storage (CCS/CCUS) sebagai Solusi Transisi Energi Fosil di Indonesia

Carbon Capture Storage dan Carbon Capture Utilization Storage (CCS/CCUS) sebagai Solusi Transisi Energi Fosil di Indonesia

ARANANDA PUTRI, Nugroho Adi Sasongko, Donny Yoesgiantoro · PENDIPA Journal of Science Education · 2024 · 0 citations

Indonesia can only hit net-zero by 2060 while still using fossil fuels if it builds carbon capture infrastructure, especially CO2-based oil and gas recovery.

Score: 0
Edge-intelligent AIoT digital twins for scalable and privacy-aware healthcare monitoring

Edge-intelligent digital twins for scalable and privacy-aware healthcare monitoring

Minhee Jun, Hanseok Ko · Frontiers in The Internet of Things · 2026 · 0 citations

Processing health sensor data on the device and sending only meaningful events, not raw streams, cuts energy and bandwidth by orders of magnitude in simulated patient monitoring.

Score: 0
The Combine19 viewsF~AIEnabledConnectedHealth
Integrating emergency medical services and hospital surge capacity for mass-gathering preparedness: a structured narrative review

Integrating emergency medical services and hospital for mass-gathering preparedness: a

Basnawi A · Frontiers in medicine · 2026

Mass-gathering medical planning is hampered by inconsistent reporting: patient rates and hospital impacts vary wildly between studies, making direct comparison nearly impossible.

Score: 0
The Combine4 viewsF~TotallyReal
Recent Advances in Nanocomposite Hydrogel Sensors for Healthcare Applications: Fabrication Techniques, Multifunctionality and Challenges

Recent Advances in Sensors for Healthcare Applications: Fabrication Techniques, Multifunctionality and Challenges

Hossain MM, Islam T, Chaion MH, Rabbani M, Islam MA + 4 more · Nanomaterials (Basel, Switzerland) · 2026

Soft, water-rich nanocomposite hydrogels are becoming stretchy skin-worn sensors that track vital signs, glucose and wound healing, but durability, comfort and regulation still block adoption.

Score: 0
The Combine5 viewsF~Materials
Co-optimized volumetric muscle design for large dynamic deformations in versatile biohybrid robots

Co-optimized volumetric muscle design for large dynamic deformations in versatile biohybrid robots

Balciunaite A, Michelis MY, Filippi M, Paniagua P, Yasa O + 1 more · Nature communications · 2026

Computer-optimized muscle-and-scaffold designs made lab-grown muscle robots move up to eleven times further, enabling jumping, swimming, walking and gripping.

Score: 0
The Combine4 viewsF~Robotics
OpenWater Hub: An open-source hardware platform for marine robotics support and water quality data acquisition

OpenWater Hub: An platform for marine robotics support and water quality data acquisition

Elesawy HA, Ahmed AI, AboZaid YA, Said LA, Samy I + 1 more · HardwareX · 2026

A free, open-source circuit board combines industrial 24 V water-quality sensors with motor control for marine robots, hitting 99.97% data reliability over 240 hours of testing.

Score: 0
The Combine4 viewsF~Robotics
TL-CRANN: a transfer-learning-based hybrid CNN-RNN model with attention mechanism for cross-domain IoT attack detection

TL-CRANN: a transfer-learning-based hybrid CNN-RNN model with attention mechanism for cross-domain IoT attack detection

Ganesh LS, Kumar PM · Frontiers in artificial intelligence · 2026

A hybrid CNN + Bi-LSTM + attention model with transfer learning detects IoT cyberattacks across different networks with 96-98% accuracy, beating existing detectors.

Score: 0
The Combine5 viewsF~Cybersecurity
Enhancing ZTMAF through federated trust learning, post quantum cryptography integration and seamless cross domain authentication handover

Enhancing ZTMAF through federated trust learning, post quantum cryptography integration and seamless cross domain authentication handover

Yoganand J, V RB, L S D, P N J · Frontiers in artificial intelligence · 2026

Adding federated trust learning, quantum-resistant encryption, and reusable trust tokens to a vehicle authentication framework cut cross-domain authentication delay by 45%.

Score: 0
The Combine11 viewsF~Cybersecurity
FedLC-Trans: privacy-preserving CNN-Transformer fusion for resilient IoMT intrusion detection

FedLC-Trans: privacy-preserving CNN-Transformer fusion for resilient IoMT intrusion detection

Gong Z, Xiong N, Zhao C, Chen J, Ammar O + 4 more · Frontiers in public health · 2026

A federated CNN-Transformer model detects attacks on connected medical devices with ~99% accuracy across three datasets without pooling hospitals' raw data centrally.

Score: 0
The Combine13 viewsF~Cybersecurity
Potential evaluation and favorable zone optimization of CO(2) geological sequestration in deep coal reservoirs

Potential evaluation and favorable zone optimization of CO(2) geological sequestration in deep coal reservoirs

Xue Z, Xu X, Tian L, Jian K, Zhang S + 5 more · Scientific reports · 2026

Deep coal seams in China's southern Qinshui Basin could store 575.5 million tonnes of CO2, best at 800–1100 m depth where CO2 turns supercritical.

Score: 0
The Combine13 viewsF~CarbonCaptureAndGeologic
Reconceptualizing learning sciences in the era of artificial intelligence: Toward hybrid intelligence and adaptive learning systems

Reconceptualizing learning sciences in the era of artificial intelligence: Toward and adaptive learning systems

Malik A, Bashir I · Acta psychologica · 2026

AI education research is split across disconnected fields, so this review of 32 studies proposes a 'Hybrid Intelligence' framework uniting learners, teachers and machines.

Score: 0
The Combine14 viewsF~Edtech
Molecular-Level Insights into CO(2) Dissolution Trapping in Deep Saline Aquifers: Diffusion Behavior in NaCl Brines

Molecular-Level Insights into CO(2) in Deep Saline Aquifers: Diffusion Behavior in NaCl Brines

Zhou T, Li D · Molecules (Basel, Switzerland) · 2026

Saltier brine halves CO2's diffusion speed while heating it to 353 K nearly triples it, with pressure barely mattering below 30 MPa.

Score: 0
The Combine15 viewsF~CarbonCaptureAndGeologic
Enhancing Healthcare through Sensor-Enabled Digital Twins in Smart Environments: A Comprehensive Analysis

Enhancing Healthcare through Sensor-Enabled Digital Twins in Smart Environments: A Comprehensive Analysis

Adibi S, Rajabifard A, Shojaei D, Wickramasinghe N · Sensors (Basel, Switzerland) · 2024

Sensor-fed "digital twins" of patients — live virtual models built from wearables, IoT devices and AI — could reshape care in smart homes and hospitals, but remain largely unproven.

Score: 0
The Combine11 viewsF~AIEnabledConnectedHealth
Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment Costs

Energy Management System for Polygeneration Microgrids, Including and Costs

Ennassiri Y, de-Simón-Martín M, Bracco S, Robba M · Sensors (Basel, Switzerland) · 2024

A microgrid controller that factors in battery wear, wasted solar power and indoor comfort cuts renewable curtailment while holding batteries to about one cycle per day.

Score: 0
The Combine14 viewsF~MicrogridControlAnd
AI-driven smart grid optimization for hospital energy systems integrating renewable generation, predictive maintenance, and resilient infrastructure

AI-driven optimization for hospital energy systems integrating renewable generation, , and resilient infrastructure

Sarker MT, Ramasamy G, Al Qwaid M, Hossen MS, Sadeque MG · Scientific reports · 2025

An AI-managed smart grid simulated for a 1,500-bed Malaysian hospital cut HVAC use 11.6%, lifted energy efficiency 25%, and met 86% of demand with rooftop solar.

Score: 0
The Combine23 viewsF~EnergyF~MicrogridControlAnd
Artificial intelligence for alcohol, opioid, and cannabis use disorders screening and management: a narrative review of barriers and facilitators to clinical implementation

Artificial intelligence for alcohol, opioid, and cannabis use disorders screening and management: a narrative review of barriers and facilitators to clinical implementation

Frimpong I, Hlormenu BA · Frontiers in digital health · 2026

Hundreds of AI models exist to spot alcohol, opioid, and cannabis use disorders, but almost none have made it into routine clinical care.

Score: 0
The Combine10 viewsF~Healthtech
CardioPharmaGENET (CA24165): A COST action network for advancing cardiovascular pharmacogenomics and precision medicine

CardioPharmaGENET (CA24165): A network for advancing cardiovascular pharmacogenomics and precision medicine

Ašić A, Devaux Y, Sopić M, Jusić A, Spahić L + 7 more · Journal of molecular and cellular cardiology plus · 2026

A new Europe-wide research network aims to make genetic testing routine for prescribing heart drugs, using AI, shared guidelines and policy reform.

Score: 0
The Combine13 viewsF~Healthtech
A neuroeducational approach to STEM education: Integrating real-time cognitive analysis and cognitive load theory to optimize teaching and learning at universities

A neuroeducational approach to STEM education: Integrating real-time cognitive analysis and cognitive load theory to optimize teaching and learning at universities

Mendes A · Journal of education and health promotion · 2026

Brain-sensing and eye-tracking tools can track students' mental effort live, and this review argues universities should use them to redesign STEM teaching around cognitive load.

Score: 0
The Combine22 viewsF~Edtech
Explainable AI-Based Intrusion Detection Systems for IoT Environments: A Systematic Literature Review

Explainable AI-Based Intrusion Detection Systems for IoT Environments: A

Varol M, Karakaya A · Sensors (Basel, Switzerland) · 2026

A review of explainable-AI intrusion detection for IoT finds the field now chases lightweight, transparent, privacy-preserving designs — but rarely validates its explanations or reproduces results.

Score: 0
The Combine21 viewsF~Cybersecurity
AI-Enabled Hardware-in-the-Loop Validation for Automotive Cybersecurity: A Review of Cyber Threats, Testbeds, and Intelligent Detection

AI-Enabled Hardware-in-the-Loop Validation for Automotive Cybersecurity: A Review of Cyber Threats, Testbeds, and Intelligent Detection

Kordi F, Fortier P, Miled A · Sensors (Basel, Switzerland) · 2026

Software-only security testing misses how car cyberattacks physically behave; hardware- and vehicle-in-the-loop rigs plus AI detection are needed to realistically test and defend connected vehicles.

Score: 0
The Combine22 viewsF~Cybersecurity
Entanglement-induced resilience of quantum dynamics

Entanglement-induced resilience of quantum dynamics

Feng T, Cao Y, Yu W, Zeng J, Li X + 2 more · Science advances · 2026

Entanglement that builds up naturally during quantum evolution shields many-body dynamics from local noise, offering free error protection with no extra qubits or control.

Score: 0
The Combine22 viewsF~QuantumComputing
ARFU-IDS: Robust Federated Unlearning for Transformer-Based Intrusion Detection in IoT and Sensor Networks

ARFU-IDS: Robust for Transformer-Based Intrusion Detection in IoT and Sensor Networks

Yang X, Zhang Z, Li Q, Jing Z, Lu X + 2 more · Sensors (Basel, Switzerland) · 2026

A new method lets federated IoT intrusion detectors erase a device's data influence almost as well as full retraining, but far faster.

Score: 0
The Combine19 viewsF~Cybersecurity
STAG-GuardNet: UAV-Assisted Spatio-Temporal Attack Graph Learning for Secure IoT Communication in Smart EV Charging Networks

STAG-GuardNet: UAV-Assisted Learning for Secure IoT Communication in Smart EV Charging Networks

Alshdadi AA · Sensors (Basel, Switzerland) · 2026

A drone-assisted graph learning system spots coordinated DDoS attacks across EV charging networks with 97.7% accuracy, beating localized traffic-only detectors.

Score: 0
The Combine20 viewsF~Cybersecurity
Privacy-preserving and robust mouse dynamics authentication using hybrid transformer-CNN and federated learning

Privacy-preserving and robust authentication using hybrid transformer-CNN and

Sasikumar K, Nagarajan S · Frontiers in artificial intelligence · 2026

A hybrid Transformer-CNN trained with federated learning identifies users from mouse movements with 99.51% accuracy while keeping raw behavioral data on their own devices.

Score: 0
The Combine28 viewsF~Cybersecurity
COF RIO-18/Polyurethane Mixed Matrix Membranes with Enhanced CO(2) Permeability and CO(2)/N(2) Selectivity

COF RIO-18/Polyurethane Mixed Matrix Membranes with Enhanced CO(2) and CO(2)/N(2) Selectivity

Campos PVS, Ramos AV, Habert AC, Esteves PM · ACS omega · 2026

Adding tiny amounts of a CO2-attracting porous powder to polyurethane films more than doubled CO2 flow and boosted CO2-over-nitrogen selectivity by up to 454%.

Score: 0
The Combine21 viewsF~MembraneSeparationAndGas
Healthcare system disruption across WHO-declared PHEICs: a 4S comparative case analysis

Healthcare system disruption across WHO-declared PHEICs: a 4S

Kim JM, Lee JM, Kim HO, Kim YJ, Kim SS + 3 more · Frontiers in public health · 2026

Across all eight WHO global health emergencies, only COVID-19 strained every part of health systems, while staffing shortfalls and testing bottlenecks appeared in every single one.

Score: 0
The Combine24 viewsF~TotallyReal
Practical blueprint for low-depth photonic quantum computing with quantum dots

Practical blueprint for low-depth photonic quantum computing with quantum dots

Chan ML, Capatos AA, Lodahl P, Sørensen AS, Paesani S · NPJ quantum information · 2026

A full hardware blueprint for a fault-tolerant photonic quantum computer built from quantum-dot photon sources, with error-correction cycles running in microseconds.

Score: 0
The Combine21 viewsF~QuantumComputing
Technology-Enhanced Health Care in Smart Homes: Scoping Review of Sensor Technologies, Clinical Applications, Integration Challenges, and Future Directions

Technology-Enhanced Health Care in Smart Homes: of Sensor Technologies, Clinical Applications, Integration Challenges, and Future Directions

El-Saboni Y, Awwal S, Mishra R, Sharma N, Gaur A + 1 more · JMIR medical informatics · 2026

Smart-home health monitoring works but is concentrated in wealthy European and Asian regions, with most systems still far from truly intelligent, adaptive care.

Score: 0
The Combine22 viewsF~Healthtech
ACO-Enhanced DCNN-BiLSTM framework for intrusion detection in smart Consumer Electronics network

ACO-Enhanced DCNN-BiLSTM framework for intrusion detection in smart Consumer Electronics network

Chandroth J, Stoian G, Hemanth DJ · PloS one · 2026

Combining ant-colony feature selection with a CNN-BiLSTM attention network detects cyberattacks on smart consumer-electronics networks more accurately than existing intrusion detection methods.

Score: 0
The Combine21 viewsF~Cybersecurity
AI-Mediated Assessment of Continuing Medical Education: The Case-based Learning Intelligence Credit System (CLICS) Framework

AI-Mediated Assessment of Continuing Medical Education: The Case-based Learning Intelligence Credit System (CLICS) Framework

Wattanasirichaigoon S · JMIR medical education · 2026

Doctors should earn continuing-education credit for demonstrated clinical reasoning in AI chat sessions, not for hours sat in lectures, under a proposed scoring framework.

Score: 0
The Combine21 viewsF~Edtech
Physics-Informed Machine Learning Correction of Variational Quantum Eigensolver Energies for Molecular Ground States

Physics-Informed Machine Learning Correction of Variational Quantum Eigensolver Energies for Molecular Ground States

Sree KCS, Shankar V · ACS omega · 2026

A simple 6-feature ridge regression trained on VQE-minus-Hartree-Fock energy gaps cuts quantum chemistry simulation errors by 3x to 640x, with no extra quantum computation.

Score: 0
The Combine27 viewsF~QuantumComputing
Unlocking fast robotic locomotor propulsion through dynamic spine-leg synergy

Unlocking fast robotic locomotor propulsion through dynamic

Wang R, Zhang W, Quan X, Du R, Bing Z + 4 more · Science advances · 2026

A robot dog with a flexible, torque-amplifying spine timed to its legs runs faster and more efficiently than rigid-spine and rival flexible-spine designs.

Score: 0
The Combine24 viewsF~Robotics
Magnetically Guided Macrophage Immunobots Coordinate Iron-Metabolic Cascades and Immunogenic Ferroptosis for Tumor Immunotherapy

Magnetically Guided Macrophage Immunobots Coordinate Iron-Metabolic Cascades and Immunogenic for Tumor Immunotherapy

Zeng X, Zhang Y, Wu C, Duan Q, Fan M + 3 more · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026

Macrophages loaded with magnetic iron-platinum microrollers can be steered into solid tumors, where they trigger iron-driven cancer cell death and rally the immune system.

Score: 0
The Combine24 viewsF~Robotics
From Reactive to Proactive Healthcare: Synergizing Wearable Biomarkers and Machine Learning in Digital Therapeutics

From Reactive to Proactive Healthcare: Synergizing Wearable Biomarkers and Machine Learning in Digital Therapeutics

Park K, Park EKC, Park WH, Jeon EY · Bioengineering (Basel, Switzerland) · 2026

Wearables plus AI can flag disease early, but reported 85%+ accuracies come from small, controlled studies that rarely prove real-world clinical value.

Score: 0
The Combine24 viewsF~Healthtech
Digital Engagement Phenotypes and 6-Month Weight Loss in a Tirzepatide-Supported Digital Weight-Loss Program: A Retrospective Cohort Study

Digital Engagement Phenotypes and 6-Month Weight Loss in a -Supported Digital Weight-Loss Program: A

Talay L, Xu C, Hom J, Swinckels L, Tan M + 2 more · Medicina (Kaunas, Lithuania) · 2026

Patients in a tirzepatide weight-loss app who actively engaged — via coaching, chatbot, or self-tracking — lost about 4.6% more body weight at 6 months than disengaged users.

Score: 0
The Combine25 viewsF~Healthtech
Optimizing nitrogen fertilization in mustard through GreenSeeker-based precision agriculture: Impacts on productivity, economics, and environmental sustainability

Optimizing nitrogen fertilization in mustard through GreenSeeker-based precision agriculture: Impacts on productivity, economics, and environmental sustainability

Meena VD, Dotaniya ML, Meena MD, Jat RS, Meena MK + 5 more · PloS one · 2026

Using a handheld GreenSeeker sensor to time and size nitrogen doses in mustard raised seed yield 22.75% while using 18.7% less fertilizer than standard practice.

Score: 0
The Combine35 viewsF~Agtech
Artificial Intelligence for Alzheimer's Disease Diagnosis: From Traditional Machine Learning to Large Language Models

Artificial Intelligence for Alzheimer's Disease Diagnosis: From Traditional Machine Learning to Large Language Models

Guo X, Sun Y, Chen Y, Liu H, Liu X + 1 more · Biosensors · 2026

AI for diagnosing Alzheimer's has moved from hand-engineered machine learning to deep learning and now large language models that read speech and clinical notes.

Score: 0
The Combine29 viewsF~Healthtech
A multidimensional measure of pre-service teachers' perceived technological competence for teaching: integrating TPACK, DigCompEdu, and self-efficacy

A multidimensional measure of pre-service teachers' perceived technological competence for teaching: integrating , , and

Kaya I, Meylani R · Frontiers in psychology · 2026

A new 33-item survey reliably measures six distinct dimensions of trainee teachers' digital teaching competence, validated across nearly 1,500 Turkish students.

Score: 0
The Combine32 viewsF~Edtech
AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions

AI-driven cybersecurity for industrial internet of things: architectures, challenges, datasets, and future research directions

Singhal S, Kumar KA · Frontiers in big data · 2026

AI intrusion detection for industrial IoT scores well on benchmarks but still fails on generalization, explainability, adversarial attacks, and real-world edge deployment.

Score: 0
The Combine42 viewsF~Cybersecurity
Controlled-Release Fertilizers: Innovations, Challenges, and Practical Applications

Controlled-Release Fertilizers: Innovations, Challenges, and Practical Applications

Siudak M, Combrzyński M, Oniszczuk T, Soja J, Oniszczuk A · Molecules (Basel, Switzerland) · 2026

Slow-release fertilizer coatings can cut nutrient waste and boost yields, but plastic coatings shed microplastics and release timing still fails under real field conditions.

Score: 0
The Combine52 viewsF~Agtech
Advances in functional nanomaterials and piezoelectric biomaterials for personalized intramedullary fixation: addressing age-related orthopedic challenges

Advances in functional nanomaterials and piezoelectric biomaterials for personalized : addressing age-related orthopedic challenges

Wang F, Wang FM, Guo AY, Wang L, Shang J · Frontiers in chemistry · 2026

Metal rods used to fix broken thigh bones often fit older patients poorly, and new electricity-generating and bioactive coatings could make them fit better and heal bone faster.

Score: 0
The Combine49 viewsF~Materials
Artificial intelligence in poultry processing: applications, validation gaps, and pathways toward intelligent and autonomous processing systems

Artificial intelligence in poultry processing: applications, validation gaps, and pathways toward intelligent and autonomous processing systems

Tushar ZH, Mostafa MS · Poultry science · 2026

AI can inspect poultry carcasses and predict quality well in lab studies, but weak validation and plant-to-plant variation keep it from reliable commercial use.

Score: 0
The Combine50 viewsF~Robotics
Cross-Domain Deep Transfer Learning Framework for Intrusion Detection in Data-Constrained and Resource-Limited IoT Environments

Cross-Domain Framework for Intrusion Detection in Data-Constrained and Resource-Limited IoT Environments

Mohammed I, Mahgoub I · Sensors (Basel, Switzerland) · 2026

Pre-training intrusion detectors on big computer-network attack datasets, then fine-tuning on small IoT ones, beats training from scratch and compresses to run on edge devices.

Score: 0
The Combine47 viewsF~Cybersecurity
X-THREAT framework for adaptive and explainable deep learning-based minority-class and zero-day cyber threat detection

X-THREAT framework for adaptive and explainable deep learning-based minority-class and zero-day cyber threat detection

Qaisarani SN, Badri SK, Khattak A, Alghazzawi DM, Alghamdi MY + 4 more · Scientific reports · 2026

A unified deep learning system, X-THREAT, spots rare and never-before-seen cyberattacks with 93-96% accuracy across three benchmarks while explaining its decisions.

Score: 0
The Combine48 viewsF~Cybersecurity
HyperIDS: a hypergraph learning and quantum-inspired transformer ensemble framework for IoT intrusion detection

HyperIDS: a learning and quantum-inspired transformer ensemble framework for IoT intrusion detection

Goel S, Govindaraj L, Kathirvel Murugan T · Frontiers in big data · 2026

HyperIDS combines hypergraph neural networks, quantum-inspired feature selection and a transformer ensemble to detect IoT cyberattacks with about 98.9% accuracy.

Score: 0
The Combine48 viewsF~Cybersecurity
Artificial Intelligence-Enabled Orthodontic Care for Remote and Underserved Populations: A Scoping Review of Access, Technology, and Public Health Integration

Artificial Intelligence-Enabled Orthodontic Care for Remote and Underserved Populations: A of Access, Technology, and Public Health Integration

Shetty P, Shetty S, Varghese C · International journal of dentistry · 2026

AI and remote monitoring can cut orthodontic appointments and sharpen diagnosis, but almost all 23 studies reviewed came from urban clinics, not underserved areas.

Score: 0
The Combine52 viewsF~Healthtech
Comparative analysis of AI enhancements to rules-based clinical triage chatbot: Convergent mixed-methods study

Comparative analysis of AI enhancements to rules-based chatbot:

Stankić A, Vujošević D, Radosavljević N, Jeremić A · Health informatics journal · 2026

A simple rules-based triage chatbot beat AI-powered versions on accuracy (71.8% vs 30.8-41.0%), yet testers preferred the smoother-talking but less accurate AI ones.

Score: 0
The Combine45 viewsF~Healthtech
A lightweight blockchain-inspired hybrid intrusion detection system with ensemble learning for tamper-proof auditing

A lightweight blockchain-inspired hybrid intrusion detection system with for tamper-proof auditing

Mishra S, Alshenaifi R, Alfahidah RA · PloS one · 2026

Combining supervised and unsupervised detectors in a weighted ensemble, plus a hash-chained audit log, flags network intrusions with 98.85% accuracy and tamper-evident records.

Score: 0
The Combine50 viewsF~Cybersecurity
Prognostication and clinical opportunities with AI for coronary artery calcium: a scoping review

Prognostication and clinical opportunities with AI for coronary artery calcium: a

McDonald VJF, Parsa S, Mastrodicasa D, Rodriguez F, Langlotz C + 4 more · BMJ digital health & AI · 2026

AI can automatically measure coronary calcium on ordinary chest CT scans, and those scores reliably predict heart attacks and death.

Score: 0
The Combine50 viewsF~Healthtech
Artificial intelligence and the future of maternal and newborn health in low-income countries: advancing equity, early detection, and health system resilience

Artificial intelligence and the future of maternal and newborn health in low-income countries: advancing equity, early detection, and health system resilience

Abdi BM, Ali SM, Ali SA, Hussein MA, Adow AI + 1 more · Frontiers in public health · 2026

AI can help spot risky pregnancies and newborn illness earlier in poor countries, but only alongside real investment in data, infrastructure and regulation.

Score: 0
The Combine47 viewsF~Healthtech
No-Code and Low-Code Artificial Intelligence in Healthcare Imaging: A Scoping Review

No-Code and Low-Code Artificial Intelligence in Healthcare Imaging: A Scoping Review

Hamdan M, Badr Z, Uribe SE, Reymus M, Kalenderian E + 1 more · International dental journal · 2026

Clinicians can now build medical and dental imaging AI without coding, and 138 studies show it works reasonably well — but external validation is often missing.

Score: 0
The Combine49 viewsF~Healthtech
Innovative bioreactor designs for enhancing electron transfer, mass transfer, and product yields in microbial electrosynthesis

Innovative bioreactor designs for enhancing electron transfer, mass transfer, and product yields in microbial electrosynthesis

Mohanty S, Dash SP, Tanpure RS, Chakraborty S, Jeon BH + 1 more · Frontiers in bioengineering and biotechnology · 2026

Better-engineered reactor hardware — flow cells, gas-diffusion cathodes, packed-bed electrodes, built-in separation — is the main lever for making microbial electrosynthesis of fuels from CO2 practical.

Score: 0
The Combine50 viewsF~MembraneSeparationAndGas
A Blockchain-Enabled Security Framework for Cloud-Based Sensor Systems with Deep Learning-Driven Attack Classification

A Blockchain-Enabled Security Framework for Cloud-Based Sensor Systems with Deep Learning-Driven Attack Classification

Ahmad N, Cao Y, Liu W · Sensors (Basel, Switzerland) · 2026

A combined deep-learning and blockchain system detects attacks in cloud-connected sensor networks and logs them tamper-evidently, beating LSTM and CNN-RNN baselines on two datasets.

Score: 0
The Combine54 viewsF~Cybersecurity
Generation of spatially and temporally fine-resolution imagery using STF algorithms and CACAO post-processing

Generation of spatially and temporally fine-resolution imagery using STF algorithms and post-processing

Gou J, Kang D, Lee H, Jang S, Song I · Scientific reports · 2026

Fusing near-daily 3 m satellite images with sparse 0.05 m drone photos produced daily 0.5 m crop maps, with the ESTARFM algorithm plus CACAO smoothing performing best.

Score: 0
The Combine47 viewsF~Agtech
A review: research progress on intelligent technologies for orchard yield monitoring

A review: research progress on intelligent technologies for orchard yield monitoring

Zhao S, Lin H, Jiang Y, Liu J · Frontiers in plant science · 2026

No single sensor or algorithm can estimate orchard yield alone — ground cameras count fruit best, while drones and spectral sensors map yield across regions.

Score: 0
The Combine50 viewsF~Agtech
UAV remote sensing for yield prediction in staple crops: a review

for yield prediction in staple crops: a review

Zhao P, Li W, Wang C, Wang B, Yang T + 4 more · Frontiers in plant science · 2026

Drone-based crop yield prediction works, but its accuracy is limited less by fancy models than by mismatched, poor-quality ground-truth yield data and untested transfer across years and regions.

Score: 0
The Combine50 viewsF~Agtech
Enhancing IoT botnet detection with explainable ensemble learning

Enhancing detection with explainable ensemble learning

Joseph L, M S, M V · Frontiers in big data · 2026

Combining boosted decision trees and bagged random forests detects IoT botnet traffic more sensitively, and SHAP explains which network features drove each decision.

Score: 0
The Combine54 viewsF~Cybersecurity
Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN-LSTM model with explainable AI

Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN-LSTM model with explainable AI

Abdelhady G, Hussein KW, Gad IAA · Scientific reports · 2026

FedShield-IDS trains a CNN-LSTM intrusion detector across smart-home devices without sharing raw traffic, and uses SHAP to explain every alert.

Score: 0
The Combine55 viewsF~Cybersecurity
Adaptive continual botnet detection with self-supervised prototypical networks and few-shot learning for evolving botnet detection

Adaptive continual botnet detection with self-supervised prototypical networks and for evolving botnet detection

Junar N, Arockiasamy K · Frontiers in artificial intelligence · 2026

Combining self-supervised learning, prototypical few-shot networks and continual learning detects new botnet attacks from very few samples, hitting 98.50% accuracy on CIC-IoT-2023.

Score: 0
The Combine44 viewsF~Cybersecurity
Sidearm Deliveries Are Associated With Lower Shoulder and Elbow Injury Burden and a Favorable Performance Profile in Major League Baseball: A Cohort Study of 927 Pitchers (2020-2025)

Sidearm Deliveries Are Associated With Lower Shoulder and Elbow Injury Burden and a Favorable Performance Profile in Major League Baseball: A of 927 Pitchers (2020-2025)

Dillon MR, Mastroianni MA, Frappa N, Manzi J, Fuller SI + 5 more · Orthopaedic journal of sports medicine · 2026

Major league pitchers with lower, sidearm arm angles lost fewer days to shoulder and elbow injuries and performed at least as well as overhand pitchers.

Score: 0
The Combine48 viewsF~TotallyReal
Dental unit waterlines in Israel: evidence of widespread microbial contamination and a need for national regulation

Dental unit waterlines in Israel: evidence of widespread microbial contamination and a need for national regulation

Groisman L, Burla E, Kushnir D, Assaly S, Gat R + 3 more · Israel journal of health policy research · 2026

Water lines in 94% of surveyed Israeli dental clinics failed at least one quality test, with Legionella above threshold in 74% of samples.

Score: 0
The Combine50 viewsF~TotallyReal
Active control of flexible spacecraft in orbit based on partial differential equations

Active control of flexible spacecraft in orbit based on partial differential equations

Zhang B, Wen M · PloS one · 2025

A new controller that models a spacecraft's flexible panels as a continuous wave equation damps their vibrations faster and with less overshoot than standard PD control.

Score: 0
The Combine48 viewsF~SpaceTech
Multiple moonlet mergers as the origin of the Dinkinesh-Selam system

Multiple mergers as the origin of the Dinkinesh-Selam system

Raducan SD, Madeira G, Agrusa HF, Merrill CC, Marschall R + 5 more · Nature communications · 2025

Selam, the odd contact-binary moon of asteroid Dinkinesh, likely formed when several similar-sized moonlets gently collided and merged in orbit.

Score: 0
The Combine51 viewsF~SpaceTech
An RBFNN-Based Prescribed Performance Controller for Spacecraft Proximity Operations with Collision Avoidance

An RBFNN-Based Prescribed Performance Controller for Spacecraft Proximity Operations with Collision Avoidance

Xie X, Chen W, Xia C, Xing J, Chang L · Sensors (Basel, Switzerland) · 2025

A neural-network controller keeps a spacecraft towing a flexible truss inside preset safety bounds, tracking trajectories to about 5 mm in hardware tests.

Score: 0
The Combine50 viewsF~SpaceTech
Dynamic Prediction of Maize Tasseling Stage Based on UAV LiDAR Time-Series Plant Height Growth Curves: A Framework Coupling UAV-CHM-POI

Dynamic Prediction of Maize Tasseling Stage Based on UAV Time-Series Plant Height Growth Curves: A Framework Coupling UAV-CHM-POI

Yan J, Cheng K, Wang W, Guo Z, Li Q + 4 more · Plants (Basel, Switzerland) · 2026

Drone LiDAR tracking of maize height over time predicts tasseling within about 2.6 days, replacing subjective manual field scouting.

Score: 0
The Combine54 viewsF~Agtech
DC traction grid modernization strategy to support EV chargers integration, enhance grid performance and profitability

modernization strategy to support EV chargers integration, enhance grid performance and profitability

Verbytskyi I, Lukianov M, Bartłomiejczyk M, Denysiuk S, Strzelecki R · Scientific reports · 2026

Upgrading tram and trolleybus DC substations in stages to host EV chargers, batteries and solar can pay back 10-20% annually while improving power quality.

Score: 0
The Combine51 viewsF~Energy
A deep learning-based automated Solar-Powered Fish Monitoring System

A deep learning-based automated Solar-Powered Fish Monitoring System

Ahene E, Agyei RO, Gyening ROM, Obirikorang KA, Takyi K + 3 more · PloS one · 2026

A solar-powered fish farm monitor uses cameras and deep learning to track fish behaviour, health, water quality and feeding without grid electricity.

Score: 0
The Combine48 viewsF~Energy
A machine learning-based optimal charging strategy for PV-assisted electric vehicle systems incorporating second-life batteries under degradation constraints

A machine learning-based optimal charging strategy for PV-assisted electric vehicle systems incorporating second-life batteries under degradation constraints

Ezzat A, Abdel-Khalik AS, Hamdy RA, Hamad MS · Scientific reports · 2026

A machine-learning charging controller for home solar EV setups raised on-site solar use by about 22% while keeping batteries out of aging-prone hot, high-charge conditions.

Score: 0
The Combine45 viewsF~Energy
Framework for developing explainable artificial intelligence models for neglected tropical disease diagnosis in low-resource settings

Framework for developing explainable artificial intelligence models for neglected tropical disease diagnosis in low-resource settings

Innocent DC, Innocent RC, Innocent IP · Frontiers in digital health · 2026

AI can spot neglected tropical diseases in images, but black-box models block clinical trust — this review proposes a framework making such systems explainable for low-resource clinics.

Score: 0
The Combine50 viewsF~Healthtech
Enhancing fraud detection in banking by integration of graph databases with machine learning

Enhancing fraud detection in banking by integration of graph databases with machine learning

Patil A, Mahajan S, Menpara J, Wagle S, Pareek P + 1 more · MethodsX · 2024

Storing bank transactions in a graph database and feeding those relationship features to machine learning models improves detection of fraudulent transactions.

Score: 0
The Combine50 viewsF~Fintech
TAE-IDS: a trust-aware explainable intrusion detection framework using attention-based meta-ensemble learning with blockchain validation

TAE-IDS: a trust-aware explainable intrusion detection framework using attention-based with blockchain validation

Raj SAJ, Madiajagan M · Frontiers in artificial intelligence · 2026

A new intrusion detection system combines three machine learning models with an attention layer, SHAP explanations, and tamper-proof hashed logs to make attack alerts auditable.

Score: 0
The Combine52 viewsF~Cybersecurity
Global, regional, and national burden of road injuries 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023

Global, regional, and national burden of road injuries 1990-2023: a for the Global Burden of Disease Study 2023

GBD 2023 Road Injuries Collaborators · The Lancet. Public health · 2026

A global study estimates deaths and disability from road injuries in every country from 1990 to 2023, giving comparable numbers to guide road safety policy.

Score: 0
The Combine50 viewsF~Edtech
The adaptive learning taxonomy for responsible large language model integration in higher education

The adaptive learning taxonomy for responsible large language model integration in higher education

Baradziej S, Kochanska A · Discover artificial intelligence · 2026

AI tutors can boost grades while quietly eroding students' ability to judge and manage their own learning, so universities need a design framework that trains metacognition, minimises data collection and keeps students in control.

Score: 0
The Combine47 viewsF~Edtech
'Cost, man. Good quality stuff can get pricey', men's choices regarding HIV services in South Africa

'Cost, man. Good quality stuff can get pricey', men's choices regarding HIV services in South Africa

Manjengwa P, Yah C, Musekiwa A · African journal of primary health care & family medicine · 2026

South African men want HIV services that are close by, affordable, private and non-judgemental — 10 priorities identified from interviews in Gauteng.

Score: 0
The Combine52 viewsF~TotallyReal
Information-Theoretic Framework for Quantum State Purification and Error Correction via Symmetric Subspace Projection

Information-Theoretic Framework for Quantum State Purification and Error Correction via

Tang J, Wang MJ · Entropy (Basel, Switzerland) · 2026

Filtering noise from several qubit copies before error-correcting nearly doubles the surface code's error threshold and cuts logical errors 46-fold.

Score: 0
The Combine48 viewsF~QuantumComputing
Lattice Patch Structure for Fixed-Frequency Transmon Quantum Computer with High-Fidelity CNOT Gates

Lattice Patch Structure for Fixed-Frequency Quantum Computer with High-Fidelity CNOT Gates

Kim C, Kang J, Kwon Y · Entropy (Basel, Switzerland) · 2026

Coupling four fixed-frequency transmons to one shared coupler yields CNOT gates above 98% fidelity in all six directions and maps directly onto surface-code plaquettes.

Score: 0
The Combine50 viewsF~QuantumComputing
Nonlinear stability and vibration of flexible spacecraft solar arrays under thermally induced flutter during the penumbra phase

Nonlinear stability and vibration of flexible spacecraft solar arrays under thermally induced flutter during the

Motaharifard O, Daneshjou K, Bakhtiari M · Scientific reports · 2026

Solar panels entering a spacecraft's partial shadow can heat unevenly enough to trigger self-sustaining flutter vibrations, which this nonlinear model predicts and maps for the Hubble Telescope.

Score: 0
The Combine49 viewsF~SpaceTech
China's petrochemical plants' CO(2) emissions and high-impact contributors for carbon-neutrality production

China's petrochemical plants' CO(2) emissions and high-impact contributors for carbon-neutrality production

Chen X, Lei T, Zhao W, Ma S, Lai C + 1 more · Science advances · 2026

China's 3119 petrochemical plants emitted about 814 million tonnes of CO2 in 2021, with a few processes and chain stages driving most of it.

Score: 0
The Combine47 viewsF~Climate
Exploring internal and external drivers of hydrogen deployment in the energy transition

Exploring internal and external drivers of hydrogen deployment in the energy transition

Xie Z, Fernandes R, Andresen GB · iScience · 2026

Europe's 2050 hydrogen use could range from near zero to 3,200 TWh/year, driven mostly by electrolyzer costs and carbon budget strictness, not transport demand.

Score: 0
The Combine47 viewsF~Climate
Multi-objective optimization framework for dynamic energy management in hybrid microgrids using NSGA-III

Multi-objective optimization framework for dynamic energy management in hybrid microgrids using

Bilal M, Mohammad A, Imdadullah, Hameed S, Ahmad F + 1 more · Scientific reports · 2026

Scheduling a solar-wind-battery-fuel-cell microgrid with the NSGA-III algorithm cut operating costs to 131.73 cents while flattening demand peaks better than four rival methods.

Score: 0
The Combine47 viewsF~Energy
Integrated machine learning forecasting and grey wolf optimization for optimal operation of virtual power plants in smart distribution networks

Integrated machine learning forecasting and grey wolf optimization for optimal operation of virtual power plants in smart distribution networks

El Hamid AMA, Elzohri HH, Sayed K · Scientific reports · 2026

Combining a grey-wolf optimizer for siting solar/wind units with a neural-network load forecaster cut power losses 61.7% and saved $1,741 a day on a test grid.

Score: 0
The Combine55 viewsF~Energy
Review of Gastrointestinal Capsule Robots: Materials, Actuation, Diagnostics, and Therapeutics

Review of Gastrointestinal Capsule Robots: Materials, , Diagnostics, and Therapeutics

Li Z, Ren Z, Lin Y, Xia X, Li T + 4 more · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026

Swallowable capsule robots can now steer magnetically, sample tissue, and deliver drugs inside the gut, but weak actuation, power, and navigation still block clinical use.

Score: 0
The Combine47 viewsF~Robotics
Anisotropic Hydrogel Fibers for Soft Robotics: From Structural Engineering to Multi-Responsive Actuation

Anisotropic Fibers for Soft Robotics: From Structural Engineering to Multi-Responsive

Zhang J, Wu T, Huang T, Zhang Y, Hou K + 2 more · Gels (Basel, Switzerland) · 2026

Thin, asymmetric hydrogel fibers respond to stimuli faster than bulk gels, and their internal architecture is what turns swelling into useful directional motion for soft robots.

Score: 0
The Combine50 viewsF~Robotics