Everything here was posted deliberately — imported by The Combine and approved, submitted by someone, or added from a search. Nothing appears in this library just because it exists in an academic index.
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.
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.
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.
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.
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.
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signature-based tools miss novel attacks while anomaly-based ones trigger false alarms, and evaluation datasets are outdated.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Seeing stuffed kangaroos and koalas versus kiwis changed how New Zealanders heard vowels, showing that irrelevant regional cues shift speech perception.
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.
Carbon Dioxide Capture, Utilization, and : Current Status, Challenges, and Future Prospects for Global
Srinu Nagireddi, Jatin R. Agarwal, Damodaran Vedapuri · ACS Engineering Au · 2023 · 297 citations
Capturing CO2 and turning it into fuels, chemicals, or underground storage is technically viable today, but cost, regulation, and public acceptance still block large-scale deployment.
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.
Mohammed Badawy, Nagy Ramadan, Hesham Ahmed Hefny · Journal of Electrical Systems and Information Technology · 2023 · 232 citations
A survey of how machine learning and deep learning are used to predict disease, and the data, accuracy and trust problems still blocking real clinical use.
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.
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.
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.
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.
Hossein Hassani, Xu Huang, Steve MacFeely · Big Data and Cognitive Computing · 2022 · 193 citations
Digital twins — live virtual copies of patients, devices and hospitals — could reshape healthcare, and this review proposes a framework for delivering them as a service.
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.
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.
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.
Simple, fast classical machine-learning models can power real-time digital twins of breast cancer for monitoring, diagnosis and prediction inside the metaverse.
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.
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.
Wearable sensors can feed live biometric data into "human digital twins" — virtual patient copies used to predict disease, simulate trials, and monitor treatment remotely.
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.
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.
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.
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.
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.
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.
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.
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.
Towards autonomous sensor and actuator model induction on a mobile robot
Daniel Stronger, Peter Stone · Connection Science · 2006 · 27 citations
A robot can learn how its own movements and sensors behave using only its raw sensor data and action commands, with no external calibration or ground truth.
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.
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.
Microencapsulated paraffin as a tribological additive for advanced polymeric coatings
Reza Gheisari, Mariela Vazquez, Vasilis Tsigkis, Ali Erdemir, Karen L. Wooley + 1 more · Friction · 2023 · 15 citations
Tiny paraffin-filled capsules mixed into a polymer coating gave near-zero wear and a very low friction coefficient of 0.05, beating PTFE-filled coatings.
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.
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.
Hospitals can share trained AI models instead of patient data, letting them build digital twins for clinical decisions without exposing anyone's records.
: 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Transformer-aided guard: A hybrid spatio-temporal framework for confidence-aware intrusion detection in cyber-physical systems
Aljohani A · PloS one · 2026
A hybrid transformer-plus-graph-network intrusion detector for cyber-physical systems hits about 98% average accuracy while also flagging how confident each prediction is.
A of DoS and DDoS attack detection in cloud environments: evolutionary trends and the emerging role of for cross-domain adaptability
Tiwari A, Navaneethan C · Frontiers in artificial intelligence · 2026
Deep learning detects cloud DDoS attacks near-perfectly in lab tests, but under 6% of 120 studies tackle adapting to new, unseen attacks in the real world.
Hierarchical cross-modal spatiotemporal attention network for crop yield prediction in complex Himalayan agroecosystems
Mir SA, Momin U, E SK, Mir IA, Khan AR + 1 more · Frontiers in plant science · 2026
An attention-based deep learning model predicted apple yields in Himalayan orchards four weeks ahead with R² of 0.89, beating a CNN-LSTM baseline by 15.6%.
Admission Mechanisms for Scalable Federated Health Data Collaboration: Design and Proof-of-Concept Study
Fenoglio E, Nieroda M, Carvalho G, Smietanka M, Kalogeropoulos D + 1 more · JMIR medical informatics · 2026
A governance layer that issues cryptographically bound permissions and logs signed ALLOW/DENY decisions let new hospitals and AI agents join a federated health study without renegotiating the setup.
Development and Pilot Evaluation of a Standardized and Accessible (OMNI) for Assessing in Health Care Contexts: Four-Stage
Cornelisse E, Kousa D, Menz BD, Murphy-Reuter B, Shahnam A + 35 more · Journal of medical Internet research · 2026
Researchers built OMNI, a free standardized scoring rubric that lets clinicians judge generative AI outputs, and piloted it on 250 health care examples.
Beyond the Needle: Transforming Traditional Healthcare with Microneedle Drug Delivery Systems
Manivannan AG, Jayasankar N, Kashid VA, Patel RJ, G Prajapati B · Pharmaceutics · 2026
Microneedle patches deliver drugs painlessly through the skin, and this review argues they are nearly ready to move from lab prototypes to everyday clinical use.
Evaluating Internet-Based AI Chatbots as Unregulated Digital Health Resources in Dental Emergency Management: Comparative Multilingual Study
Bashah A, Huixin Q, Zaawari H, Al-Waqeerah A, Ghaleb E + 3 more · JMIR medical informatics · 2026
Five popular AI chatbots were stress-tested with 27,300 answers on dental medical emergencies across three languages to see if unregulated consumer AI is safe at the chairside.
Leveraging Artificial Intelligence in Healthcare in Cambodia: Enhancing Access and Patient Outcomes
Lorn S, Chhon Y, San T, Sorn V · Public health challenges · 2026
AI could ease Cambodia's doctor shortages and rural care gaps, but only with phased rollout backed by infrastructure, local validation, training and governance.
FlowerSec: An AI-Enhanced Security Framework for Clustered Wireless Sensor Networks
Alhomoud A, Alharbi AR, Altorkmani NA · Sensors (Basel, Switzerland) · 2026
A two-engine intrusion detector built into sensor-cluster heads catches 96.4% of unseen flooding attacks that supervised models miss almost entirely, while extending battery life.
Pressure and Dependent Interfacial Fouling of Mesoporous PES-PUMA Membranes During Water-in-Oil Emulsion Separation
Bahramian A, Alavinia S · Membranes · 2026
Pushing harder through an oil-filtering membrane gets more oil through but lets more water slip past — faster cross-flow raises flux too, while keeping fouling easier to wash off.
From Artificial to Embodied and Physical Intelligence in Smart Manufacturing
Wang K, Lu X, Liu T, Fang J, Li X + 5 more · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Smart factories need intelligence built into robots and materials themselves, not just software — the authors propose a combined AI, embodied, and physical intelligence framework.
The dashboard says "perfect:" a systematic audit of label-free model monitoring and under temporal in network intrusion detection
Ahmed W, Rahaman MA, Roy P, Alam P · Frontiers in artificial intelligence · 2026
Label-free monitoring dashboards can look flawless while intrusion detectors silently fail, and none of 16 test-time adaptation methods beat the unadapted model under real year-to-year traffic shift.
Deciphering Electrochemical Generation, Transport, and Reactivity of Hydrogen Species in the Electrochemical Palladium Membrane Reactor
Shin SJ, Roh SB, Kim HT, Lee KY, Kim SM + 2 more · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Hydrogen atoms pushed through a palladium membrane can recombine into H2 and re-split, and tuning the membrane's surface coating controls which pathway drives hydrogenation.
Intelligent defense at the edge: a comprehensive survey of , and explainable AI for intrusion detection in IoT and ecosystems
Kumar SS, Jerlin MA · Frontiers in artificial intelligence · 2026
Traditional intrusion detection is too heavy for IoT devices, so this survey maps the shift toward federated, tiny on-device AI with explainable alerts.
Artificial Intelligence and Connected Technologies in Chronic Pain Management: A
Elhomsy P, Reliquet B, Sudria F · Pain research & management · 2026
AI already helps measure, predict and treat chronic pain across four clinical domains, but adoption stays fragmented due to data governance and untrained clinicians.
Robust multi-class DDoS and fraud detection using a Context-Adaptive Deep Evolutionary Game Framework with
V A, V P · Frontiers in artificial intelligence · 2026
A hybrid CNN-BiGRU intrusion detector with game-theoretic adaptive thresholds spots rare DDoS and fraud attacks, but better rare-class detection can cost adversarial robustness.
Green-aware intrusion detection systems: A sustainability-driven approach to network security
Alshammari A · PloS one · 2026
A lightweight intrusion-detection AI that throttles itself when the power grid is dirty cut energy use 43% and emissions 58.7% while keeping 98.7% detection accuracy.
Guiding and governing the complexities of digital allergy and analysis: a critical national health priority for Australia
Davies JM, Gray L, Jayasinghe S, Vale S, Perrett KP · BMJ health & care informatics · 2026
Australia's allergy data is locked behind 77 national rules from 24 agencies, and the authors propose a "GATEway" framework to untangle it for research.
Artificial Intelligence and Sensing Technologies for in Hemodialysis: A
Sessa C, Lomeo E, Morale W, Gianni T, Bonerba B + 2 more · Sensors (Basel, Switzerland) · 2026
AI and wearable sensors can spot dialysis vascular access problems in retrospective data, but accuracy drops sharply in real-world prediction and no system has yet improved patient outcomes.
Parallel Local-Global Feature Extraction and Gated Fusion for Network Intrusion Detection
Huang T, Wang Y, Qin Y · Sensors (Basel, Switzerland) · 2026
Running two neural networks side by side and fusing their outputs with a gated cross-attention layer detects network attacks with ~99.8% accuracy on benchmark traffic data.
AI-Driven Intrusion Detection for Vehicular Networks: A Comprehensive Survey of Techniques, Datasets, Deployment Architectures, and Future Directions
Hassan SR, Din S, Mohmand MI · Sensors (Basel, Switzerland) · 2026
Connected cars are increasingly hackable, and this survey maps how AI intrusion detection works, where its datasets and deployments fall short, and what research must fix next.
CyberRoBERTa: A Lightweight Transformer-Based Language Model for IoT
Alhafi D, Alanazi F · Sensors (Basel, Switzerland) · 2026
A 10.2-million-parameter transformer tailored to network traffic — custom tokenizer and data collator — detects IoT attacks with 96% binary F1 while running on-device.
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.
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.
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.
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.
A hybrid CNN + Bi-LSTM + attention model with transfer learning detects IoT cyberattacks across different networks with 96-98% accuracy, beating existing detectors.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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%.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
A neural-network controller keeps a spacecraft towing a flexible truss inside preset safety bounds, tracking trajectories to about 5 mm in hardware tests.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.