Research Publication

2024

1. Islam, M. M., Rifat, H. R., Shahid, M. S. B., Akhter, A., & Uddin, M. A. (2024). Utilizing Deep Feature Fusion for Automatic Leukemia Classification: An Internet of Medical Things-Enabled Deep Learning Framework. Sensors, 24(13), 4420.

2. Shahid MSB, Rifat HR, Uddin MA, Islam MM, Mahmud MZ, Sakib MKH, Roy A. Hypertuning-Based Ensemble Machine Learning Approach for Real-Time Water Quality Monitoring and Prediction. Applied Sciences. 2024; 14(19):8622.

2023

1. Khatun, M., Islam, M. M., Rifat, H. R., Shahid, M. S. B., Talukder, M. A., & Uddin, M. A. (2023, December). Hybridized convolutional neural networks and long short-term memory for improved Alzheimer’s disease diagnosis from MRI scans. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

2022

1. U. K. Acharjee, M. Arefin, K. M. Hossen, M. N. Uddin, M. A. Uddin and L. Islam, "Sequence-to-Sequence Learning-Based Conversion of Pseudo-Code to Source Code Using Neural Translation Approach," in IEEE Access, vol. 10, pp. 26730-26742, 2022, doi: 10.1109/ACCESS.2022.3155558.

2021

1. Ahamed, Khabir Uddin, Manowarul Islam, Ashraf Uddin, Arnisha Akhter, Bikash Kumar Paul, Mohammad Abu Yousuf, Shahadat Uddin, Julian MW Quinn, and Mohammad Ali Moni. "A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images." Computers in biology and medicine (2021): 105014.