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Md Atiqur Rahman

Adjunct Lecturer @ CSE, AUST

Publications

2024 (1)
  • GliomaCNN: An Effective Lightweight CNN Model in Assessment of Classifying Brain Tumor from Magnetic Resonance Images Using Explainable AI Md. Atiqur Rahman, Mustavi Ibne Masum, Khan Md Hasib, M. F. Mridha, Sultan Alfarhood, Mejdl Safran, Dunren Che In Computer Modeling in Engineering & Sciences (CMES), ISSN 1526-1506
    Link    Abstract
2023 (3)
  • Informational Query Detection on Social Media Posts in Bengali Language Using Machine Learning And Transfer Learning Techniques. Md. Atiqur Rahman, S. I. C.; and Sadid Rafan, N. J In 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), pages 0458–0464, 2023
    Link    Abstract
  • Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME. Md. Atiqur Rahman, A. S. T.; Sanjid Islam, F. P.; and G.M. Shahariar, M. T. R. S. In arXiv preprint arXiv:2309.05747, 2023
    Link    Abstract
  • Bengali News Abstractive Summarization: T5 Transformer and Hybrid Approach. Hasib, K. M.; Rahman, M. A.; Masum, M. I.; De Boer, F.; Azam, S.; and Karim, A. In 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), pages 539–545, 2023. IEEE
    Link    Abstract
2022 (1)
  • LFR Waiter: Arduino Based Android Application Controlled Waiter Robot. Hasib, K. M.; Rahman, M. A.; Tahsin, M.; Karim, A.; Azam, S.; and DeBoer, F. In TENCON 2022-2022 IEEE Region 10 Conference (TENCON), pages 1–6, 2022. IEEE
    Link    Abstract