Items where Author is "Rahman, Md Arafatur"

Article

Tusher, Ekramul Haque and Mohd Arfian, Ismail and Rahman, Md Arafatur and Alenezi, Ali H. and Uddin, Mueen (2024) Email spam: A comprehensive review of optimize detection methods, challenges, and open research problems. IEEE Access, 12. 143627 -143657. ISSN 2169-3536. (Published)

Abu Jafar, Md Muzahid and Syafiq Fauzi, Kamarulzaman and Rahman, Md Arafatur and Murad, Saydul Akbar and Kamal, Md Abdus Samad and Alenezi, Ali H. (2023) Multiple vehicle cooperation and collision avoidance in automated vehicles : Survey and an AI‑enabled conceptual framework. Scientific Reports, 13 (603). pp. 1-27. ISSN 2045-2322. (Published)

Khan, Burhan Ul Islam and Anwar, Farhat and Farah Diyana, Abdul Rahman and Olanrewaju, Rashidah Funke and Goh, Khang Wen and Zuriati, Janin and Rahman, Md Arafatur (2022) SGM : Strategic game model for resisting node misbehaviour in IoT-cloud ecosystem. Information (Switzerland), 13 (544). pp. 1-19. ISSN 2078-2489. (Published)

Book Chapter

Rahim, Md. Abdur and Rahman, M.M. and Rahman, Md Arafatur and Abu Jafar, Md Muzahid and Syafiq Fauzi, Kamarulzaman (2021) A framework of IoT-enabled vehicular noise intensity monitoring system for smart city. In: Advances in Intelligent Systems and Computing book series. Advances in Intelligent Systems and Computing book series, 1350 . Springer, Cham, Springer Nature Switzerland, pp. 194-205. ISBN 978-3-030-70917-4

Conference or Workshop Item

Anwary, Arif Reza and Rahman, Md Arafatur and Abu Jafar, Md Muzahid and Ul Ashraf, Akanda Wahid and Patwary, Mohammad Nuruzzaman and Hussain, Amir (2022) Deep learning enabled fall detection exploiting gait analysis. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 , 11-15 July 2022 , Glasgow. pp. 4683-4686., 2022-July (182637). ISSN 1557-170X ISBN 978-172812782-8 (Published)

Rahman, Md Arafatur and Muhammad Afiq, Azmi and Mohammad Nafees, Zaman and Naeem, Muhammad Kamran and Pillai, Prashant and Patwary, Mohammad Nuruzzaman (2021) TRACTS-Net : An intelligent road damage detection system using 5G integrated team-forming network. In: Proceedings - 2021 IEEE 4th 5G World Forum, 5GWF 2021. th IEEE 5G World Forum, 5GWF 2021 , 13 - 15 October 2021 , Virtual, Online. pp. 470-474.. ISBN 978-166544308-1 (Published)