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Syed Muhammad Asad
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Travelers-Tracing and Mobility Profiling Using Machine Learning in Railway Systems
SM Asad, K Dashtipour, S Hussain, QH Abbasi, MA Imran
2020 International Conference on UK-China Emerging Technologies (UCET), 2020
182020
Reinforcement learning driven energy efficient mobile communication and applications
SM Asad, M Ozturk, RNB Rais, A Zoha, S Hussain, QH Abbasi, MA Imran
2019 IEEE International Symposium on Signal Processing and Information …, 2019
142019
Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning
SM Asad, J Ahmad, S Hussain, A Zoha, QH Abbasi, MA Imran
Sensors 2020, 20(9), 2629; https://doi.org/10.3390/s20092629 (registering …, 2020
122020
Mobility management-based autonomous energy-aware framework using machine learning approach in dense mobile networks
SM Asad, S Ansari, M Ozturk, RNB Rais, K Dashtipour, S Hussain, ...
Signals 1 (2), 170-187, 2020
92020
Edge intelligence in private mobile networks for next generation railway systems
SM Asad, A Tahir, RN Bin Rais, S Ansari, AI Abubakar, S Hussain, ...
Frontiers in Communications and Networks, 2021
42021
Revenue Maximization through Cell Switching and Spectrum Leasing in 5G HetNets
AI Abubakar, C Ozturk, M Ozturk, MS Mollel, SM Asad, NU Hassan, ...
IEEE Access 10, 48301-48317, 2022
12022
Employing Machine Learning for Predicting Transportation Modes Under the COVID-19 Pandemic: A Mobility-Trends Analysis
SM Asad, K Dashtipour, RNB Rais, S Hussain, QH Abbasi, MA Imran
2021 International Conference on UK-China Emerging Technologies (UCET), 235-240, 2021
12021
Mobility Management in the Applications of 5G and Beyond: A Handover Skipping Topology Analysis
SM Asad, PV Klaine, RNB Rais, S Hussain, QH Abbasi, MA Imran
2022 4th Global Power, Energy and Communication Conference (GPECOM), 650-654, 2022
2022
Performance Analysis of Downlink Inter Cell Interference Coordination in the LTE-Advanced System
SM Asad
University of Surrey, United Kingdom, 2010
2010
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Articles 1–9