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Contrastive Representation Learning: A Framework and Review

IEEE access, 2020, Vol.8, p.193907-193934

2020

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A Review on Machine Learning Styles in Computer Vision - Techniques and Future Directions

IEEE access, 2022, Vol.10, p.1-1

2022

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Blended Learning Tools and Practices: A Comprehensive Analysis

IEEE access, 2021, Vol.9, p.85151-85197

2021

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Personalized Adaptive Learning Technologies Based on Machine Learning Techniques to Identify Learning Styles: A Systematic Literature Review

IEEE access, 2023, Vol.11, p.48392-48409

2023

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Multi-Modal LA in Personalized Education Using Deep Reinforcement Learning Based Approach

IEEE access, 2024, Vol.12, p.54049-54065

2024

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Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis

IEEE access, 2020, Vol.8, p.126385-126400

2020

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Deep Multimodal Representation Learning: A Survey

IEEE access, 2019, Vol.7, p.63373-63394

2019

Volltextzugriff (PDF)

Reinforcement Learning Models and Algorithms for Diabetes Management

IEEE access, 2023-01, Vol.11, p.1-1

2023

Volltextzugriff (PDF)

Unsupervised K-Means Clustering Algorithm

IEEE access, 2020, Vol.8, p.80716-80727

2020

Volltextzugriff (PDF)

Review of Deep Learning Algorithms and Architectures

IEEE access, 2019, Vol.7, p.53040-53065

2019

Volltextzugriff (PDF)

Blockchain in Education: A Systematic Review and Practical Case Studies

IEEE access, 2022, Vol.10, p.99525-99540

2022

Volltextzugriff (PDF)

Machine Learning Techniques for 5G and Beyond

IEEE access, 2021, Vol.9, p.23472-23488

2021

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A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

IEEE access, 2022, Vol.10, p.99129-99149

2022

Volltextzugriff (PDF)

Variational Quantum Circuits for Deep Reinforcement Learning

IEEE access, 2020, Vol.8, p.141007-141024

2020

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Natural Language-Based Human-Machine Collaborative Learning Games Algorithm Based on Deep Rein-Forcement Learning

IEEE access, 2024, Vol.12, p.28818-28830

Na, Le

2024

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A Review of Machine Learning Approaches to Power System Security and Stability

IEEE access, 2020, Vol.8, p.113512-113531

2020

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Diversity in Machine Learning

IEEE access, 2019, Vol.7, p.64323-64350

2019

Volltextzugriff (PDF)

Mobile Service Robot Path Planning Using Deep Reinforcement Learning

IEEE access, 2023, Vol.11, p.100083-100096

2023

Volltextzugriff (PDF)

A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection

IEEE access, 2023, Vol.11, p.114680-114713

2023

Volltextzugriff (PDF)

Smart E-Learning Framework for Personalized Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning

IEEE access, 2023, Vol.11, p.89769-89790

2023

Volltextzugriff (PDF)

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions

IEEE access, 2024, Vol.12, p.9890-9930

2024

Volltextzugriff (PDF)

AI-Enabled UAV Communications: Challenges and Future Directions

IEEE access, 2022, Vol.10, p.92048-92066

2022

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Enhancing Active Learning With Semi-Supervised Loss Prediction Modules

IEEE access, 2024, Vol.12, p.118756-118765

2024

Volltextzugriff (PDF)

Ensemble Multifeatured Deep Learning Models and Applications: A Survey

IEEE access, 2023, Vol.11, p.107194-107217

2023

Volltextzugriff (PDF)

Analyzing Teaching Effects of Blended Learning With LMS: An Empirical Investigation

IEEE access, 2024, Vol.12, p.42343-42356

2024

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Contrastive Representation Learning: A Framework and Review

A Review on Machine Learning Styles in Computer Vision - Techniques and Future Directions

Blended Learning Tools and Practices: A Comprehensive Analysis

Personalized Adaptive Learning Technologies Based on Machine Learning Techniques to Identify Learning Styles: A Systematic Literature Review

Multi-Modal LA in Personalized Education Using Deep Reinforcement Learning Based Approach

Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis

Deep Multimodal Representation Learning: A Survey

Reinforcement Learning Models and Algorithms for Diabetes Management

Unsupervised K-Means Clustering Algorithm

Review of Deep Learning Algorithms and Architectures

Blockchain in Education: A Systematic Review and Practical Case Studies

Machine Learning Techniques for 5G and Beyond

A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

Variational Quantum Circuits for Deep Reinforcement Learning

Natural Language-Based Human-Machine Collaborative Learning Games Algorithm Based on Deep Rein-Forcement Learning

A Review of Machine Learning Approaches to Power System Security and Stability

Diversity in Machine Learning

Mobile Service Robot Path Planning Using Deep Reinforcement Learning

A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection

Smart E-Learning Framework for Personalized Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions

AI-Enabled UAV Communications: Challenges and Future Directions

Enhancing Active Learning With Semi-Supervised Loss Prediction Modules

Ensemble Multifeatured Deep Learning Models and Applications: A Survey

Analyzing Teaching Effects of Blended Learning With LMS: An Empirical Investigation

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