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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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M. J. Miah, D. Martin, A. Ginolas, M. Elattar, P. Della Casa, S. Grützner, S. Strohmaier, A. Knigge, G. Tränkle, and P. Crump, Micro-structured lateral thermal-lens for increased output power and narrowed beam divergence in kilowatt-class 9xx nm diode laser bars. Applied Physics Letters, vol. 124, no. 24, p. 241104, Jun 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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A. Siddiqua, A. M. Oni, and M. J. Mia, A transfer learning approach for neurodegenerative disease classification from brain MRI images: distinguishing Alzheimer’s, Parkinson’s, and control cases.. 6th International Conference on Electrical Engineering and Information & Communication Technology 2024, pp. 347-351, Dhaka, Bangladesh, May 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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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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