• 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.
  • Sultna, N., Islam, M. S., Analysis of performance limits in optical communications due to fibernonlinearity and third order dispersion. Discover Electronics, Dec 2023.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Purnita, K. S., Mondal, M. R. H., Machine learning for DCO-OFDM based LiFi. PLoS ONE 16(11): e0259955, Feb 2023.
  • Mondal, M. R. H., Bharati, S. , Podder, P., CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images. PLoS ONE 16(10): e0259179, Feb 2023.
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