Harun Ur Rashid
Orcid: 0000-0003-0874-7590
According to our database1,
Harun Ur Rashid authored at least 15 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
Position-Aided Channel Quality Indicator Prediction in V2X Scenarios using Attention-LSTM with Fully Convolutional Networks.
J. Netw. Syst. Manag., April, 2026
Physics-informed reservoir characterization from bulk and extreme pressure events with a differentiable simulator.
CoRR, April, 2026
Optimizing handover decisions with skipping mechanisms in 5G mmWave UDNs using reinforcement learning.
Comput. Networks, 2026
Federated Few-Shot Prototypical Learning for Personalized WiFi-Based Human Activity Recognition.
IEEE Access, 2026
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2026
2025
Differentiable multiphase flow model for physics-informed machine learning in reservoir pressure management.
CoRR, August, 2025
AI empowered 6G technologies and network layers: Recent trends, opportunities, and challenges.
Expert Syst. Appl., 2025
2024
Deep LSTM-FCN with Self-Attention for 5G Dual Connectivity Uplink Resource Forecasting.
Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024
Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024
Dynamic Resource Allocation for Radio Access Network Slicing using CNN-A2C Algorithm.
Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024
Predicting Channel Quality Indicators through Deep Learning: A Location-Aware Approach Utilizing Limited Network Parameters.
Proceedings of the International Conference on Information Networking, 2024
2023
Proceedings of the Fourteenth International Conference on Ubiquitous and Future Networks, 2023
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023
2022
Analysis of breast cancer classification robustness with radiomics feature extraction and deep learning techniques.
Expert Syst. J. Knowl. Eng., 2022
Intelligent Radar Signal Detection for Future Generation Wireless Networks Using Deep Learning.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022