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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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Rabbani, M., Mamun, S. M., Sridevi, P., Iqbal, L., Parida, A., Kolli, A., Kolli, H., Mondal, M. R. H., Rassel, M. A., Hossain, E., Ahmed F., and Ahamed, S.I., A Chaos-based Non-linear Analysis Method for Detecting Human Attention Levels in EEG Signals. 23rd IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2023), Jan 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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S. S. Shafin, Q. A. Rahman, I. Gondal, G. Karmakar, and M. R. H. Mondal, Blended Ensemble Learning for Robust MITM Attack Detection and Classification in Smart Grid. 33rd Australasian Universities Power Engineering Conference (AUPEC2023), Sep. 2023, Ballarat, Australia., 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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M. J. Miah, D. Martin, A. Ginolas, M. Elattar, P. Della Casa, S. Grützner, S. Strohmaier, A. Knigge, G. Tränkle, and P. Crump, Thermal lens engineering for high brightness edge emitters. 2023 IEEE Photonics Conference (IPC), pp. 1-2, Orlando, FL, USA, 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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S. Bharati, M. R. H. Mondal, P. Podder, U. Kose, Explainable Artificial Intelligence (XAI) with IoHT for Smart Healthcare: A Review. Interpretable Cognitive Internet of Things for Healthcare, Springer, 1-24. 2023, Jun 2023.
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Mehadi Hossain and Hossen A Mustafa, Automated Writing Evaluation Using Sentence by Sentence Scoring Model. In the Proceedings of International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM-2023), Jun 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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