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A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks
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6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence
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AI/ML for D2D Communication in 5G/6G Networks and Beyond: Concept, Applications, Challenges, and Future Directions
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6G-Enabled Quantum-Energy-Aware Multi-Agent Multi-Modal Scheme for Underwater Acoustic–RF Networks
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Agentic AI Security in 6G Networks: A Survey of Emerging Attack Vectors, Vulnerabilities, and Defenses
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Integrated Sensing and Communication in 6G: A Comprehensive Survey of Use Cases, Enabling Technologies, Standardization Roadmap, and Monetization Frameworks
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Deployment-Aware Predictive Resource Allocation in 5G, 6G, and Beyond RANs Using Integrated Deep and Reinforcement Learning
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A Hardware-Efficient Hybrid Beamforming Architecture for Near-Field Beam Training in 6G Wideband XL-MIMO Systems
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Enabling FR2-5G Communication With Dielectric OAM Transmitarrays
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Integrating Explainable AI in Education: Challenges and Advancements – A Systematic Review
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External Interferences Detection by Examples in LTE Networks for 4G and 5G Networks Efficient Deployments
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An Efficient Ensemble Learning Model Integrating Multi‐Branch Sub‐Networks for Facial Expression Recognition
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Integrating Network Security and English Education Through Artificial Intelligence in 6G Environment
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Ransomware prediction and detection in healthcare Networking using AI
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Smart Contract–Enabled P2P Energy Trading: A Formally Verified Game-Theoretic Framework
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Qualitative Research Meets AI: A Mixed-Methods Approach to Explaining Semi-Structured Decisions
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IoMT‐Enabled Cloud System for Precision E‐Healthcare and Cardiovascular Disease Prediction
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Tradespace Analysis of Software-Defined Radio Architectures for Mid-Band 6G Communication Systems
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TriGuard-Net: A Blockchain-enabled Hybrid Encryption and Ensemble Deep Learning Framework for Secure and Intelligent IoT DDoS Detection and Mitigation
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Are Large Language Models Smart Coders? Evaluating Correctness and Efficiency of LLM-generated Algorithms
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Designing With AI: A Systematic Literature Review on the Use, Development, and Perception of AI-Enabled UX Design Tools
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QoS-Driven Resource Block Allocation and Unicast–Broadcast Mode Switching in Dense 6G Networks: A Fluid Model Approach
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Toward Generalizable mmWave and Terahertz Deep Learning-Based Channel Prediction in 6G Networks
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TinyML‐Enabled Active Stability Co‐Evolution: A Lightweight Ensemble for Fault Diagnosis on IIoT‐Connected Ultra‐High‐Pressure Waterjet Equipment
