Hafiz Muhammad Fahad Noman
Orcid: 0000-0001-8507-5383
According to our database1,
Hafiz Muhammad Fahad Noman authored at least 9 papers
between 2023 and 2026.
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Bibliography
2026
HAT-YOLO: Hybrid Attention and Transformer-Integrated Model for UAV Object Detection on Embedded Devices.
KSII Trans. Internet Inf. Syst., February, 2026
Deep Reinforcement Learning for Resource Management in Device-to-Device (D2D)-Assisted 6G Networks: Current Solutions, Open Issues, and Future Directions.
IEEE Internet Things J., 2026
High-performance image classification via spiking vision transformer and an improved AA-LRSA attention mechanism.
Neurocomputing, 2026
2025
Federated Multiagent DDQN-Empowered Joint Optimization of Mode Selection and Resource Allocation in D2D-Assisted 6G Wireless Networks.
IEEE Internet Things J., 2025
Enhancing Task-Incremental Learning via a Prompt-Based Hybrid Convolutional Neural Networks (CNNs)-Vision Transformer (ViT) Framework.
IEEE Access, 2025
A Review of Short-Term, Long-Term, and Memory Consolidation Mechanisms in the Hippocampus and Cerebral Cortex.
IEEE Access, 2025
A Multi-Agent DDQN-Based Joint Spectral and Energy-Efficient Resource Allocation in D2D-Assisted Heterogeneous 6G Networks.
Proceedings of the 12th International Conference on Wireless Networks and Mobile Communications, 2025
2024
FeDRL-D2D: Federated Deep Reinforcement Learning- Empowered Resource Allocation Scheme for Energy Efficiency Maximization in D2D-Assisted 6G Networks.
IEEE Access, 2024
2023
Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges and Future Trends.
IEEE Access, 2023