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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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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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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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M. J. Miah, M. M. Karow, M. Elattar, D. Martin, P. Della Casa, S. Grützner, S. Strohmaier, Tailored in-plane thermal profiles for narrower lateral far-field in kilowatt-class 9xx nm diode laser bars. Proceedings of SPIE, vol. 12403, paper 12403-18, San Francisco, California, USA, Jan 2023.
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Begum, A. M., Mondal, M. R. H. , Podder, P., and Kamruzzaman, J., Weighted Rank Difference Ensemble: A New Form of Ensemble Feature Selection Method for Medical Datasets. BioMedInformatics (Scopus indexed), 4(1), 477-488, Jan 2023.
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Begum, A. M., Mondal, M. R. H., Podder, P., & Kamruzzaman, J., Weighted Rank Difference Ensemble: A New Form of Ensemble Feature Selection Method for Medical Datasets.. BioMedInformatics (Scopus indexed), 4(1), 477-488, Jan 2023.
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Mondal, M. R. M., Bharati, S., Podder, P., and Kamruzzaman, J. , Deep Learning and Federated Learning for Screening COVID-19: A Review. BioMedInformatics (Scopus indexed), 3(3):691-713, 2023, Jan 2023.
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Ahmmed, S. , Podder, P., Mondal, M. R. H., Rahman, S. M. A., Kannan, S., Hasan, M. J., Rohan, A., and Prosvirin, A. E. , Enhancing Brain Tumor Classification with Transfer Learning across Multiple Classes: An In-Depth Analysis. BioMedInformatics (Scopus indexed), 3, 1124-1144, 2023, Jan 2023.
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P. Podder, S. R. Das, M. R. H. Mondal, S. Bharati, A. Maliha, M. J. Hasan, F. Piltan, LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases. Sensors (Scopus & SCIE indexed) 2023, 23, 480., Jan 2023.
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S. Rana, M.R.H. Mondal and J. Kamruzzaman, RBFK cipher: a randomized butterfly architecture-based lightweight block cipher for IoT devices in the edge computing environment. Cybersecurity, Springer (Scopus & ESCI indexed), 6, 3 (2023)., Jan 2023.
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A. K. Galib, N. Sarker, M. R. H. Mondal, Novel Multiband Millimeter Wave Antennas. Journal of Communications (Scopus), 2023., Jan 2023.
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Bharati, S., Mondal, M. R. H., Podder, P., & Prasath, V. B. , Deep Learning for Medical Image Registration: A Comprehensive Review. International Journal of Computer Information Systems and Industrial Management Applications, (Scopus indexed), MIR Labs, USA, Volume 14, pp. 173-190, Dec 2022.
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Podder, P., Bharati, S., Mondal, M., & Khamparia, A., Rethinking the Transfer Learning Architecture for Respiratory Diseases and COVID-19 Diagnosis. In Biomedical Data Analysis and Processing Using Explainable (XAI) and Responsive Artificial Intelligence (RAI) (pp. 105-121). Springer, Singapore, Dec 2022.
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Podder, P., Mondal, M. R. H., & Kamruzzaman, J., Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern. In Applications of Computational Intelligence in Multi-Disciplinary Research (pp. 1-15). Academic Press., Dec 2022.
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Bharati, S., Podder, P., Mondal, M. R. H., Podder, P., & Kose, U., A review on epidemiology, genomic characteristics, spread, and treatments of COVID-19. Data Science for COVID-19, 487-505, Dec 2022.
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Ali, A., Khan, S.R., Sakib, S., Hossain, M.S. and Lin, Y.D., Federated 3GPP Mobile Edge Computing systems: a transparent proxy for third party authentication with application mobility support.. IEEE Access, 10, pp.35106-35119., Dec 2022.
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