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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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. External link
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. Available
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). External link
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. External link
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. External link
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). External link
Jamil, S., Abbas, M. S., Fawad, Zia, M. F., & Rahman, M.U. (2021, May). A Deep Convolutional Neural Network Based Framework for Pneumonia Detection [Paper]. International Conference on Digital Futures and Transformative Technologies (ICoDT2 2021), Islamabad, Pakistan (5 pages). External link
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). External link
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). Available
