Publications

D U S Duranta, Md Shahin Ali, Abhilash Arjan Das, Md Mahbubur Rahman, Md Manjurul Ahsan, Md Sipon Miah, Md Khairul Islam; "Enhancing Atrial Fibrillation Detection Accuracy: A Wavelet Transform Filtered Single Lead ECG Signal Analysis with Artificial Neural Networks and Novel Feature Extraction." Machine Learning with Application, 12, 100472, DOI: 10.1016/j.mlwa.2023.100472.

Md Shahin Ali, Md Khairul Islam, A Arjan Das, D S Duranta, Mst Farija Haque and Md Habibur Rahman; "A Novel Approach for Best Parameters Selection and Feature Engineering to Analyze and Detect Diabetes: Machine Learning insights." BioMed Research International, 2023, 8583210. DOI: 10.1155/2023/8583210.

Md. Khairul Islam; Md Shahin Ali; A Arjan Das; D U S Duranta; M S Alam (2020). "Human brain tumor detection using k-means segmentation and improved support vector machine." International Journal of Scientific Engineering Research, 11, 6. ISSN 2229-5518

Md Shahin Ali; Md. Khairul Islam; Jahurul Haque; A Arjan Das; D S Duranta; Md Ariful Islam (2021, April). "Alzheimer’s Disease Detection Using m-Random Forest Algorithm with Optimum Features Extraction." In 2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA) (pp. 1-6). IEEE. DOI: 10.1109/CAIDA51941.2021.9425212.

Md. Khairul Islam; Md Shahin Ali; Md Mosahak Ali; Mst. Farija Haque; Abhilash Arjan Das; Md. Maruf Hossain; D S Duranta; Md Afifur Rahman (2021, April). "Melanoma Skin Lesions Classification using Deep Convolutional Neural Network with Transfer Learning." In 2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA) (pp. 48-53). IEEE. DOI: 10.1109/CAIDA51941.2021.9425117.

D U S Duranta, Ajmina Easmin Khushi, Md. Khairul Islam; "ViT-CNN-RecFusion: A Multi-Stream Deep Learning Architecture for Reliable and Interpretable Diabetic Retinopathy Detection," Computer Methods and Programs in Biomedicine Update

D U S Duranta, Md Maruf Hossain, Md Mahfuz Ahmed, and Md Khairul Islam; "Integrated Framework for Brain Hemorrhage Detection and Segmentation in CT Images Using a Convolutional Hybrid Neural Network, Explainable AI, and Transfer Learning-Driven U-Net Architecture."