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Jamil, S., Piran, M. J., Rahman, M.U., & Kwon, O.-J. (2023). Learning-driven lossy image compression: A comprehensive survey. Engineering Applications of Artificial Intelligence, 123, 17 pages. Lien externe
Jamil, S., Rahman, M.U., Abbas, M., & Fawad (2022). Resource Allocation Using Reconfigurable Intelligent Surface (RIS)-Assisted Wireless Networks in Industry 5.0 Scenario. Telecom, 3(1), 163-173. Disponible
Jamil, S., Rahman, M.U., & Fawad (2022). A comprehensive survey of digital twins and federated learning for Industrial Internet of Things (IIoT), Internet of Vehicles (IoV) and Internet of Drones (IoD). Applied System Innovation, 5(3), 56 (16 pages). Lien externe
Jamil, S., Rahman, M.U., Tanveer, J., & Haider, A. (2022). Energy Efficiency and Throughput Maximization Using Millimeter Waves-Microwaves HetNets. Electronics, 11(3), 21 pages. Lien externe
Jamil, S., & Rahman, M.U. (2022). A Novel Deep-Learning-Based Framework for the Classification of Cardiac Arrhythmia. Journal of Imaging, 8(3), 14 pages. Lien externe
Jamil, S., Rahman, M.U., & Haider, A. (2021). Bag of Features (BoF) Based Deep Learning Framework for Bleached Corals Detection. Big Data and Cognitive Computing, 5(4), 53 (15 pages). Lien externe
Jamil, S., & Rahman, M.U. (2021). A Dual-Stage Vocabulary of Features (VoF)-Based Technique for COVID-19 Variants' Classification. Applied Sciences-Basel, 11(24), 11902 (15 pages). Lien externe
Jamil, S., Fawad, Rahman, M.U., Ullah, A., Badnava, S., Forsat, M., & Mirjavadi, S. S. (2020). Malicious UAV detection using integrated audio and visual features for public safety applications. Sensors, 20(14), 3923 (16 pages). Disponible
Jamil, S., Abbas, M. S., Fawad, Zia, M. F., & Rahman, M.U. (mai 2021). A Deep Convolutional Neural Network Based Framework for Pneumonia Detection [Communication écrite]. International Conference on Digital Futures and Transformative Technologies (ICoDT2 2021), Islamabad, Pakistan (5 pages). Lien externe