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• Mathematical optimization of renewable energy systems for sustainable development
  Due to the growing worldwide need for renewable energy sources, Renewable Energy Systems (RES) have been rapidly developed and deployed in response to global needs for cleaner energy and environmental damage from the use of fossil fuels. However, the inherent …
  datacite Singh, Garima 2026 置信度 0.66 Renewable Energy SystemsMathematical OptimizationSustainable DevelopmentLinear ProgrammingStochastic Optimization
• Mathematical optimization of renewable energy systems for sustainable development
  Due to the growing worldwide need for renewable energy sources, Renewable Energy Systems (RES) have been rapidly developed and deployed in response to global needs for cleaner energy and environmental damage from the use of fossil fuels. However, the inherent …
  datacite Singh, Garima 2026 置信度 0.66 Renewable Energy SystemsMathematical OptimizationSustainable DevelopmentLinear ProgrammingStochastic Optimization
• Machine Learning Applications in Public Health: Improving Risk Prediction and Resource Allocation
  Abstract As the amount of health data in the Pakistan has grown in size and diversity, from electronic health records (EHRs) and insurance claims to public health surveillance feeds and social and behavioral data, a key method being adopted to transform data i…
  datacite Qura tul, Ain Nazir 2023 置信度 0.66
• Machine Learning Applications in Public Health: Improving Risk Prediction and Resource Allocation
  Abstract As the amount of health data in the Pakistan has grown in size and diversity, from electronic health records (EHRs) and insurance claims to public health surveillance feeds and social and behavioral data, a key method being adopted to transform data i…
  datacite Qura tul, Ain Nazir 2023 置信度 0.66
• smshagor-dev/Federated-Learning-on-Non-IID-Data-Differential-Privacy: v3.0.0
  Federated Learning Platform v3.0.0 Version: 3.0.0 Release Type: Stable Platform Release Python: 3.11+ License: Apache License 2.0 Federated Learning Platform v3.0.0 is a major platform release focused on stronger federated-learning execution, reproducible expe…
  datacite Shahanur Islam Shagor 2026 置信度 0.66
• smshagor-dev/Federated-Learning-on-Non-IID-Data-Differential-Privacy: v3.0.0
  Federated Learning Platform v3.0.0 Version: 3.0.0 Release Type: Stable Platform Release Python: 3.11+ License: Apache License 2.0 Federated Learning Platform v3.0.0 is a major platform release focused on stronger federated-learning execution, reproducible expe…
  datacite Shahanur Islam Shagor 2026 置信度 0.66
• Deep Learning For Lung Segmentation And Disease Classification In Chest X-Ray Imaging
  Pulmonary illness is one of the largest contributors to death and disability across the globe, placing it among the top causes of mortality. Because of this, identifying and categorizing lung abnormalities from chest radiographs quickly and correctly is essent…
  datacite Anwar Muta Mohammad*, Abirami J., Sangeetha Banerjee 2026 置信度 0.66 Chest X-ray, Lung Segmentation, Lung Disease Classification, Deep Learning, Convolutional Neural Network, Vision Transformer, U-Net, Medical Image Analysis, Federated Learning, Multimodal Models.
• Deep Learning For Lung Segmentation And Disease Classification In Chest X-Ray Imaging
  Pulmonary illness is one of the largest contributors to death and disability across the globe, placing it among the top causes of mortality. Because of this, identifying and categorizing lung abnormalities from chest radiographs quickly and correctly is essent…
  datacite Anwar Muta Mohammad*, Abirami J., Sangeetha Banerjee 2026 置信度 0.66 Chest X-ray, Lung Segmentation, Lung Disease Classification, Deep Learning, Convolutional Neural Network, Vision Transformer, U-Net, Medical Image Analysis, Federated Learning, Multimodal Models.
• Intelligent Predictive Architectures for Autonomous Self-Healing in Cloud Computing: A Comprehensive Survey
  Neural network-enabled self-healing is becoming a very exciting approach to making cloud computing infrastructures more reliable, available, and efficient. This survey paper gives a detailed review of neural network-based predictive models and how they are com…
  datacite Mr. Nitesh Gupta, Dr. Nandita Bangera 2026 置信度 0.66 Neural Predictive IntelligenceSelf-Healing ArchitecturesDeep Learning for Cloud SystemsMulti-Agent Reinforcement LearningFederated Self-Healing Frameworks
• smshagor-dev/Federated-Learning-on-Non-IID-Data-Differential-Privacy: v3.0.0
  Federated Learning Platform v3.0.0 Version: 3.0.0 Release Type: Stable Platform Release Python: 3.11+ License: Apache License 2.0 Federated Learning Platform v3.0.0 is a major platform release focused on stronger federated-learning execution, reproducible expe…
  datacite Shahanur Islam Shagor 2026 置信度 0.66
• Reinforcement Learning: Theory, Algorithms, and Applications by Dr. K.V. Rameswara Reddy, Dr. A. Vishnuvardhan Reddy, Dr. M. Madhusudhan Reddy, Mr. G.V. Ramana Reddy
  Artificial Intelligence has undergone remarkable transformations over the past few decades, evolving from rule-based systems to intelligent learning models capable of solving complex real-world problems. Among these advancements, Reinforcement Learning (RL) ha…
  datacite Dr. K.V. Rameswara Reddy, Dr. A. Vishnuvardhan Reddy, Dr. M. Madhusudhan Reddy, Mr. G.V. Ramana Reddy 2026 置信度 0.66
• Reinforcement Learning: Theory, Algorithms, and Applications by Dr. K.V. Rameswara Reddy, Dr. A. Vishnuvardhan Reddy, Dr. M. Madhusudhan Reddy, Mr. G.V. Ramana Reddy
  Artificial Intelligence has undergone remarkable transformations over the past few decades, evolving from rule-based systems to intelligent learning models capable of solving complex real-world problems. Among these advancements, Reinforcement Learning (RL) ha…
  datacite Dr. K.V. Rameswara Reddy, Dr. A. Vishnuvardhan Reddy, Dr. M. Madhusudhan Reddy, Mr. G.V. Ramana Reddy 2026 置信度 0.66
• Artificial Intelligence for Early Prediction and Diagnosis of Neonatal Sepsis: Current Evidence, Challenges, and Future Directions
  preprints 2026 置信度 0.74
• Adversarial Intelligence: A Systematic Review of AI-Driven Cyber Threat Detection, Adaptive Malware Evasion, and Arms Race Dynamics in Zero Trust Security Environments
  Abstract Artificial intelligence has become central to modern cyber defense, powering intrusion detection, malware classification, and behavioral analytics across enterprise, cloud, and Internet of Things environments. At the same time, the same statistical an…
  preprints 2026 置信度 0.74
• A systematic review of autonomous multiagent frameworks for early breast cancer detection using thermography
  Abstract Background Breast cancer is the most common malignancy worldwide, causing around 2.3 million cases and 685,000 deaths annually. Infrared thermography (IRT) is a non-ionizing, low-cost adjunct to mammographic screening, particularly valuable in low- an…
  preprints 2026 置信度 0.74
• Artificial Intelligence in Radiology: Why Retrospective Performance Does Not Ensure Clinical Utility
  Purpose: Artificial intelligence is increasingly developed and deployed to support radiological image interpretation, triage, segmentation and workflow prioritisation. However, high performance reported in retrospective studies does not necessarily translate i…
  preprints 2026 置信度 0.74
• A Systematic Review of Hybrid Intelligent Models for Early Detection of Diabetes Using Electronic Health Records
  preprints 2026 置信度 0.74
• Modern Continual Learning with Foundation Models, Evaluation Challenges, and Future Directions
  preprints 2026 置信度 0.74
• A Systematic Review of Security Privacy and Provenance in EEG-Based Brain-Computer Interfaces with a Blockchain-Based Reference Architecture
  preprints 2026 置信度 0.74
• Adaptive Power Management Techniques for Edge-Cloud Integration
  preprints 2026 置信度 0.74
• Evolutionary Algorithms and Engineering Applications: A Comprehensive Survey of Classical Methods and Emerging Trends
  preprints 2026 置信度 0.74
• A Clinically Guided Rule-Based Synthetic Dataset for Multi-Modal Longitudinal Treatment-Response Monitoring in Major Depressive Disorder
  preprints 2026 置信度 0.74
• A Systematic Review of Privacy-Enhancing Technologies (PETs) for Securing Personally Identifiable Information in Public Cloud Architectures
  europepmc 2026 置信度 0.80
• Human–Machine Collective Intelligence for Social-Physical Sensing: Architectures, Challenges, and Future Directions
  preprints 2026 置信度 0.74
• Deep Neural Network Loss Landscapes: From Geometry to Generalization
  preprints 2026 置信度 0.74
• Detecting Cryptojacking in Cloud Environments: A Systematic Review of AI-Based Defenses, Deployment Challenges, and Research Gaps
  preprints 2026 置信度 0.74
• Distributed Intelligence in the Artificial Intelligence of Things: A Comprehensive Review of Architectures, Applications, and Challenges
  preprints 2026 置信度 0.74
• AI-Powered Fraud Detection in Financial Networks: A Systematic Literature Review.
  preprints 2026 置信度 0.74
• From Telehealth to Artificial Intelligence: Digital Health Technologies for Indigenous Communities—A Systematic Review of Diagnostic Access, Ethical Governance, and Sustainable Health Equity
  Indigenous communities worldwide face persistent health inequities rooted in colonial histories, geographic remoteness, and structural exclusion from diagnostic services. Artificial intelligence (AI) and digital health technologies are promoted as instruments …
  preprints 2026 置信度 0.74
• Digital Twin Technology and Process Validation in Pharmaceutical Manufacturing:Bridging Virtual Simulation and Regulatory Compliance for Next-Generation Drug Production
  preprints 2026 置信度 0.74
• From Registration to Insight: How STRONG AYA Transforms Registry Data to Enhance Decision-Support Tools for Adolescent and Young Adult Oncology
  Background Population-based cancer registers (PBCR) are important for monitoring trends in cancer epidemiology, facilitating the implementation of effective cancer services. Adolescents and Young Adult (AYA) with cancer are a patient group with a unique set of…
  preprints 2026 置信度 0.74
• GeoAI and Multimodal Geospatial Data Fusion for Inclusive Urban Mobility: Methods, Applications, and Future Directions
  preprints 2026 置信度 0.74
• Clinical AI in Radiology: Foundations, Trends, and Emerging Directions with Use Cases from Moffitt Cancer Center
  preprints 2026 置信度 0.74
• A Comprehensive Evaluation of Privacy-Preserving Mechanisms in Cloud-Based Big Data Analytics: Challenges and Future Research Directions
  europepmc 2026 置信度 0.80
• Synergizing Intelligence and Privacy: A Review of Integrating Internet of Things, Large Language Models, and Federated Learning in Advanced Networked Systems
  preprints 2025 置信度 0.74
• The Utility of Artificial Intelligence in the Management of Diabetes: A Narrative Review
  preprints 2025 置信度 0.74
• GenAI Agents for Early Disease Diagnosis: A Review of Architectures, Applications, and Policy Directions
  The integration of Artificial Intelligence (AI) agents into healthcare represents a paradigm shift in medical diagnostics, enabling autonomous systems that leverage multimodal data fusion, advanced machine learning architectures, and clinical reasoning engines…
  preprints 2025 置信度 0.74
• Deep Learning Approaches for Crop Health Monitoring and Early Disease Detection: A Review
  preprints 2025 置信度 0.74
• Large Language Model Agents for Biomedicine: A Comprehensive Review of Methods, Evaluations, Challenges, and Future Directions
  Large language model (LLM) based agents are rapidly emerging as transformative tools across biomedical research and clinical applications. By integrating reasoning, planning, memory, and tool use capabilities, these agents go beyond static language models to o…
  preprints 2025 置信度 0.74
• Artificial Intelligence-Powered Risk Prediction Models for Preventable Maternal Mortality in Rural Settings: A Systematic Review
  preprints 2025 置信度 0.74
• AI and Robotics in Agriculture: A Systematic and Quantitative Review of Research Trends (2015–2025)
  The swift integration of AI, robotics, and advanced sensing technologies has revolutionized agriculture into a data-centric, autonomous, and sustainable sector. This systematic study examines the interplay between artificial intelligence and agricultural robot…
  preprints 2025 置信度 0.74
• Leveraging AI and IoT for Energy Efficiency in the Industrial Sector: A Comprehensive Review
  preprints 2025 置信度 0.74
• AI-based Cancer Models for Prediction of Antibody-Drug Conjugate (ADC) Response in Oncology
  preprints 2025 置信度 0.74
• A Systematic Review of Building Energy Management Systems (BEMS): Sensors, IoT, and AI Integration
  The escalating global demand for energy-efficient and sustainable built environments has catalyzed the advancement of Building Energy Management Systems (BEMS), particularly through their integration with cutting-edge technologies. This review presents a compr…
  preprints 2025 置信度 0.74
• Industrial Scheduling in the Digital Era: Challenges, State-of-the-Art Methods, and Deep Learning Perspectives
  Industrial scheduling remains a pivotal discipline for efficiency, resilience, and competitiveness in manufacturing and service operations. The digital transformation, driven by paradigms such as Industry 4.0, has fundamentally reshaped the scheduling landscap…
  preprints 2025 置信度 0.74
• Large Language Model Agents for Biomedicine: A Comprehensive Review of Methods, Evaluations, Challenges, and Future Directions
  Large language model (LLM) based agents are rapidly emerging as transformative tools across biomedical research and clinical applications. By integrating reasoning, planning, memory, and tool use capabilities, these agents go beyond static language models to o…
  preprints 2025 置信度 0.74
• Machine Learning for Electric Vehicle Range Estimation: A Review of Approaches and Performance
  preprints 2025 置信度 0.74
• A Systematic Survey on Federated Sequential Recommendation
  preprints 2025 置信度 0.74
• Machine Learning for Privacy Threat Classification: A Systematic Review
  preprints 2025 置信度 0.74
• A machine learning approach for automating review of a RxNorm medication mapping pipeline output
  preprints 2025 置信度 0.74
• A Taxonomy and Survey of Integrating Emerging Technologies to Intelligent Transportation Systems
  preprints 2025 置信度 0.74
• AI-Powered Wearable Sensors for Health Monitoring and Clinical Decision Making
  preprints 2025 置信度 0.74
• Emerging AI and Biomarker–Driven Precision Medicine in Autoimmune Rheumatic Diseases: From Diagnostics to Therapeutic Decision-Making
  preprints 2025 置信度 0.74
• Performance Evaluation and Deployment Strategies of Deep Learning-Based IDS
  preprints 2025 置信度 0.74
• Advancing Liver Cancer Treatment through Dynamic Genomics and Systems Biology: A Path Toward Personalized Oncology
  preprints 2025 置信度 0.74
• Towards Sustainable Buildings and Energy Communities: AI-Driven Transactive Energy, Smart Local Microgrids, and Life Cycle Integration
  preprints 2025 置信度 0.74
• Redefining Adversarial Dynamics: Co-Evolution of Attack and Defense Strategies in AI-Enabled Power Cyber-Physical Systems
  preprints 2025 置信度 0.74
• Automatic ICD coding using LLMs: a systematic review
  preprints 2025 置信度 0.74
• Intelligence Architectures and Machine Learning Applications in Contemporary Spine Care
  preprints 2025 置信度 0.74
• Early Detection of Mental Health Disorders Using AI: A Comprehensive Review
  preprints 2025 置信度 0.74
• Machine Learning Techniques for Urban Resilience: A Systematic Review and Future Directions
  preprints 2025 置信度 0.74
• Exploring the Role of Synthetic Data in the Future of AI in Healthcare: A Scoping Review of Frameworks, Challenges, and Implications
  Synthetic data has emerged as a transformative tool in healthcare, particularly in areas such as medical imaging, electronic health records (EHRs), and clinical trial simulation, where data privacy, diversity, and accessibility are critical. This scoping revie…
  preprints 2025 置信度 0.74
• Framework for Government Policy on Agentic and Generative AI in Healthcare: Governance, Regulation, and Risk Management of Open-Source and Proprietary Models
  preprints 2025 置信度 0.74
• Industrial Applications of AI in Aircraft Manufacturing: A PRISMA Systematic Literature Review
  preprints 2025 置信度 0.74
• Non-Repudiation in Decentralized Wireless Networks in the Age of AI: A Comprehensive Review
  preprints 2025 置信度 0.74
• Multimodal Generative AI in Diagnostics: Bridging Medical Imaging and Clinical Reasoning
  Multimodal generative artificial intelligence (AI) has emerged as a transformative approach in medical diagnostics, integrating diverse data sources to significantly enhance clinical decision-making and patient care. In this review, we systematically analyze r…
  preprints 2025 置信度 0.74
• Federated Prediction Models and External Validation for Radiotherapy Outcomes in Oropharyngeal Cancer using F.A.I.R. Clinical and Radiomics Data
  preprints 2025 置信度 0.74
• Securing Power Cyber‐Physical Systems Against False Data Injection Attacks: Trends, Techniques, and Future Directions
  preprints 2025 置信度 0.74
• Integrating Multi-Modal Predictive Modeling, Imaging Biomarkers, and EHR-Linked Decision Support Systems in Spine-Focused Biomedical Informatics
  preprints 2025 置信度 0.74
• Artificial Intelligence in Conflict Resolution: A Comprehensive Review of Techniques and Applications
  preprints 2025 置信度 0.74
• AI-Driven Software Engineering: A Systematic Review of Machine Learning’s Impact and Future Directions
  preprints 2025 置信度 0.74
• Expert And Intelligent Systems for Peer-To-Peer Energy Trading in Nano Grids: A Comprehensive Survey
  preprints 2025 置信度 0.74
• Interoperability Frameworks for uHealth and Digital Therapeutics: Standards, Governance, and Emerging Technologies for Scalable Health Data Integration
  Background: Ubiquitous health (uHealth) and digital therapeutics require interoperable digital ecosystems to achieve an effective and scalable implementation. Alignment between technical standards and regulations is crucial to ensure the secure and patient-cen…
  preprints 2025 置信度 0.74
• Artificial Intelligence in Retinal Imaging for Early Alzheimer’s Disease Detection: A Systematic Review
  preprints 2025 置信度 0.74
• Computational Architectures for Precision Dairy Nutrition Digital Twins: A Technical Review and Implementation Framework
  Sensor-enabled digital twins (DTs) are reshaping precision dairy nutrition by seamlessly integrating real-time barn telemetry with advanced biophysical simulations in the cloud. Drawing insights from 122 peer-reviewed studies spanning 2010–2025, this systemati…
  preprints 2025 置信度 0.74
• Generative AI in Investment and Portfolio Management: Comprehensive Review of Current Applications and Future Directions
  preprints 2025 置信度 0.74
• MoE at Scale: From Modular Design to Deployment in Large-Scale Machine Learning Systems
  preprints 2025 置信度 0.74
• AI and Machine Learning in Healthcare: Advancing Diagnostics, Personalized Treatment, and Predictive Modeling
  preprints 2025 置信度 0.74
• Optical Sensor Based Approaches in Obesity Detection: A Literature Review of Gait Analysis, Pose Estimation, and Human Voxel Modeling
  preprints 2025 置信度 0.74
• A Comprehensive Review of Multi-Source Data Fusion Processing Methods
  preprints 2025 置信度 0.74
• Advances in Parameter-Efficient Fine-Tuning: Optimizing Foundation Models for Scalable AI
  preprints 2025 置信度 0.74
• Expert and Intelligent Systems for Robotic Manipulators Control: A Comprehensive Review
  preprints 2025 置信度 0.74
• Advancing TinyML in IoT: A Holistic System-Level Perspective for Resource-Constrained AI
  preprints 2025 置信度 0.74
• Multimodal Federated Learning: A Survey
  preprints 2023 置信度 0.74
• Secure and Private Healthcare Analytics: A Feasibility Study of Federated Deep Learning with Personal Health Train
  preprints 2023 置信度 0.74
• Federated Ensembles: a literature review
  preprints 2022 置信度 0.74
• Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals
  preprints 2023 置信度 0.74
• A Distributed Feature Selection Pipeline for Survival Analysis using Radiomics in Non-Small Cell Lung Cancer Patients
  preprints 2023 置信度 0.74
• FAIR-ification of structured Head and Neck Cancer clinical data for multi-institutional collaboration and federated learning
  preprints 2023 置信度 0.74
• Federated Learning Design and FunctionalModels: Survey
  Abstract Federated learning is a multiple device collaboration setup designed tosolve machine learning problems under framework for aggregation andknowledge transfer in distributed local data. This distributed modelensures the privacy of data at each local nod…
  preprints John A, Sapdo Utomo, Adarsh Rouniyar, Hsiu-Chu Hsu 等 2022 置信度 0.74
• Harness Behavioural Analysis for Unpacking the Bio-Interpretability of Pathology Foundation Models
  preprints 2026 置信度 0.74
• Application of Federated Analytics in Health Data Research for Reducing Risks Involved in Data Sharing
  preprints 2022 置信度 0.74
• Securing Health Care Data through Blockchain enabled Collaborative Machine Learning
  preprints 2022 置信度 0.74
• SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data
  preprints 2025 置信度 0.74
• A Systematic Review on ICT-based Remote and Automatic COVID-19 Patient Monitoring and Care
  preprints 2023 置信度 0.74
• SecureFed: Federated learning empowered medical imaging technique to detect COVID-19 using chest x-rays
  Abstract Machine learning is an effective and accurate technique to diagnose COVID-19 infections using image data, and chest X-Ray (CXR) is no exception. Considering privacy issues, machine learning scientists end up receiving less medical imaging data. Federa…
  preprints Aaisha Makkar, KC Santosh 2022 置信度 0.74
• The Impact of the COVID-19 Pandemic on Anti-Psychotic Prescribing in Individuals with Autism, Dementia, Learning Disability, Serious Mental Illness or Living in a Care Home: A Federated Analysis of 59 Million Patients’ Primary Care Records in Situ Using OpenSAFELY
  preprints 2023 置信度 0.74
• COVision: Convolutional Neural Network for the Differentiation of COVID-19 from Common Pulmonary Conditions Using CT Scans
  preprints 2023 置信度 0.74
• The impact of the COVID-19 pandemic on Antipsychotic Prescribing in individuals with autism, dementia, learning disability, serious mental illness or living in a care home: A federated analysis of 59 million patients’ primary care records in situ using OpenSAFELY
  preprints 2023 置信度 0.74
• High cell-type specificity of eQTLs revealed by single-nucleus analyses of brain and blood
  preprints 2025 置信度 0.74