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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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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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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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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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P. Podder, F. B. Alam, M. R. H. Mondal, M. J. Hasan, A. Rohan, S. Bharati, Rethinking Densely Connected Convolutional Networks for Diagnosing Infectious Diseases. Computers (Scopus & ESCI indexed). 2023; 12(5):95., May 2023.
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S. Bharati, M. R. H. Mondal, P. Podder, A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?. IEEE Transactions on Artificial Intelligence, (Scopus indexed), 2023, Apr 2023.
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Khan, S.R., Sakib, S., Rahman, M.S. and Samee, M.A.H., DeepBend: An Interpretable Model of DNA Bendability.. iScience, p.105945., Feb 2023.
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Purnita, K. S., Mondal, M. R. H., Machine learning for DCO-OFDM based LiFi. PLoS ONE 16(11): e0259955, Feb 2023.
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