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Hossain, M. S., Hossain, M. A., and Islam, M. S., I‑MPaFS: enhancing EDoS attack detection in cloud computing through a data‑driven approach. Journal of Cloud Computing: Advances, Systems and Applications, vol. 14, no. 151, Oct 2024.
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Md. Alamgir Hossain, Md Delwar Hossain, Md. Sharafat Hossain, Md. Saiful Islam, Md. Mahbubur Rahman, and Hossen A Mustafa, Enhancing Marine Radar Security Through Semi-Supervised Learning: A Self-Training Approach. In the Proceedings of the 2nd International Conference on Information and Communication Technology (ICICT), October 2024., Oct 2024.
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T. M. Amir - Ul - Haque H Bhuiyan, Md. Anwar Hussen Wadud, and Hossen A Mustafa, Secured Text Based CAPTCHA using Customized CNN with Style Transfer and GAN based Approach. In the Proceedings of the 2nd International Conference on Information and Communication Technology (ICICT), October 2024, Oct 2024.
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Sultana, N., and Islam, M. S., Comparative investigation of group-velocity dispersion with nonlinear phase modulation in fiber optic WDM transmission. International Journal of Information Technology, Aug 2024.
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Upama, P. B., Sridevi, P., Rabbani, M., Syam, M., Bashar, A. H. M., Mondal, M. R. H., Khan, R. A., Ahamed, S. I., A Comparative Study of Classical and Quantum Algorithms for Heart Disease Prediction Using Patients’ Vital Signs. IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), Osaka, Japan, Jul 2024.
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Hassan, R., Mondal, M. R. H., and Ahamed, S. I. , UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation. PLoS ONE (Scopus & SCIE indexed), 19(6), e0304771, Jun 2024.
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Aifa Faruque and Hossen A Mustafa, A Semi-Supervised Approach for Identifying Cyberbullying Text in Bangla Language. In the Proceedings of the 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), May 2024.
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Hossain, M. A. and Islam, M. S., Enhancing DDoS attack detection with hybrid feature selection and ensemble-based classifier: A promising solution for robust cybersecurity. Measurement: Sensors, Apr 2024.
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Hossain, M. A. and Islam, M. S., Enhanced detection of obfuscated malware in memory dumps: a machine learning approach for advance cybersecurity.. Open Access, doi: 10.1016/j.measen.2024.101037, Jan 2024.
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Sultna, N., Islam, M. S., Analysis of performance limits in optical communications due to fibernonlinearity and third order dispersion. Discover Electronics, Dec 2023.
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Hossain, M. A. and Islam, M. S., A novel hybrid feature selection and ensemble‑based machine learning approach for botnet detection. Scientific Reports, Dec 2023.
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Alam, F. B., Podder, P., and Mondal, M. R. H. , RVCNet: A hybrid deep neural network framework for the diagnosis of lung diseases. PLoS ONE (Scopus & SCIE indexed), 18(12): e0293125, Dec 2023.
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Saha, P., Das R., and Das, S. K. , A Review on Machine Learning and Deep Learning Based Systems for the Diagnosis of Brain Cancer.. SN Computer Science, 5(1), p. 28, Nov 2023.
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Saha, P., Das R., and Das, S. K. , BCM-VEMT: Classification of brain cancer from MRI images using deep learning and ensemble of machine learning techniques.. Multimedia Tools and Applications, 82(28), pp. 44479-44506, Nov 2023.
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Ahmmed, S., Mondal, M. R. H., Mia, M. R., Adibuzzaman, M., Hoque, A. S. M. L., and Ahamed, S. I. , A novel approach for standardizing clinical laboratory categorical test results using machine learning and string distance similarity. Heliyon (Scopus & SCIE indexed), Elsevier, vol. 9, issue 11, e21523, Nov 2023.
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Sadi, M.S., Alotaibi, M., Saha, P., Nishat, F. Y., Tasnim, J., Alhmiedat, T., Almoamari, H. and Bassfar, Z., COV-CTX: A Deep Learning Approach to Detect COVID-19 from Lung CT and X-Ray Images.. COV-CTX: A Deep Learning Approach to Detect COVID-19 from Lung CT and X-Ray Images., Sep 2023.
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Md. Bayazid Rahman, Hossen Mustafa, Towards evaluating robustness of violence detection in videos using cross-domain transferability. Journal of Information Security and Applications, ELSEVIER, Sep 2023.
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Hossain, M. A. and Islam, M. S., Ensuring network security with a robust intrusion detection system using ensemble-based machine learning. Array, ELSEVIER, Sep 2023.
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Sarker, N., Podder, P., Mondal, M. R. H., Shafin, S. S. and Kamruzzaman, J., Applications of Machine Learning and Deep Learning in Antenna Design, Optimization, and Selection: A Review. IEEE Access (Scopus & SCIE indexed), vol. 11, pp. 103890-103915, Sep 2023.
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Islam, M. A. and Islam, M. S., Highly negative dispersion compensating fiber with low third order dispersion. Journal of Optical Communications, vol. 44, Pp. 597 – 605, Jul 2023.
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