Jim, A. A. J., Rafi, I., Tiang, J. J., Biswas, U., & Nahid, A. A. (2024). KUNet-An Optimized AI based Bengali Sign Language Translator for Deaf and Dumb People. IEEE Access.
Raihan, M. J., Labib, M. I., Jim, A. A. J., Tiang, J. J., Biswas, U., & Nahid, A. A. (2024). Bengali-Sign: A Machine Learning-Based Bengali Sign Language Interpretation for Deaf and Non-Verbal People. Sensors, 24(16), 5351.
Jim, A. A. J., Rafi, I., Akon, M. Z., Biswas, U., & Nahid, A. A. (2023). KU-BdSL: An open dataset for Bengali sign language recognition. Data in Brief, 51, 109797.
Majumder, S., Mazumder, B. and Islam, S.M.T, 2022. “Gabor Wavelet based Fused Texture Features for Identification of Mungbean Leaf Diseases” International Conference on Machine Intelligence and Emerging Technologies 2022 (MIET 2022), 23-25 September, Noakhali Science and Tec
Reaj, A. S. M. S., Maniruzzaman, M., & Jim, A. A. J. (2021, September). Emotion Recognition Using EEG-Based Brain Computer Interface. In 2021 International Conference on Electronics, Communications and Information Technology (ICECIT) (pp. 1-4). IEEE.
Dr. S.M. Taohidul Islam, and Md Mahbubur Rahman
Rahman, M.M., Islam, S.M.T., Biswas, M., Bepery, C. (2021). Detection of Artificially Ripen Mango Using Image Processing. Proceedings of International Conference on Machine Intelligence and Data Science Applications. Algorithms for Intelligent Systems. Springer, Singapore.
Islam, S.M.T., Nurullah, M., Samsuzzaman, M. 2020. “Mango Fruit’s Maturity Status Specification Based on Machine Learning using Image Processing”, 2020 IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh.
Rahman, M. N., Islam, S.M.T., Ashiqussalehin, M. and Maniruzzaman, M. 2020. “Internet of Things (IoT) Enabled Water Flow Monitoring System: From Data to Analytics for Pyra River”, BCS Journal of Computer and Information Technology, Vol. 02 2020.
Sarkar, A. Maniruzzaman, M., Ahsan,M.S. Ahmad,M., Mohammad Ismat Kadir, M.I. Islam, S.M.T., 2020.” Identification and classification of brain tumor from MRI with feature extraction by support vector machine”, 2020 international conference for emerging technology (
Mazumder, B., Islam, S.M.T, and Rahman, M.M. 2020, “Non-subsampled Shearlet Entropy and Logistic Regression Based Multiple Sclerosis Detection”, 2nd International Conference on Advanced Information and Communication Technology (ICAICT), pp. 105-110.
Jaid Jim, A. A., Kadir, R., Mamun, M. A. A., Nahid, A. A., & Ali, M. Y. (2019). A noble proposal for Internet of garbage bins (IoGB). Smart Cities, 2(2), 214-229.
Islam, S.M.T., Masud, M. A., Rahaman, M. A. U., Rabbi, M. M. H., 2019. “Plant Leaf Disease Detection using Mean Value of Pixels and Canny Edge Detector”, 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), 24-25 December,
Chik, Z., Islam, T. 2014. Soil compaction characterizations through electrical resistivity in field investigations. Information Technology in Geo-Engineering D.G. Toll et al. (Eds.) IOS Press 266-271. Doi: 10.3233/978-1-61499-417-6-266
Islam, T., Chik, Z. 2013. Improved near surface soil characterizations using multilayer soil resistivity model. Geoderma 209-210: 136-142 (Impact Factor 2.318, Q1, Elsevier, ISI, SCOPUS).
T.Islam, Z. Chik, M.M. Mustafa, H. Sanusi 2012. Modeling of Electrical resistivity and maximum dry density in soil compaction measurement. Environmental Earth Sciences,DOI 10.1007/s12665-012-1573-7 online -Impact Factor 1.059,ISI,SCOPUS). 67(5):1299-1305(impact Factor 1.05; Q1 in