Phone Segmentation for Japanese Triphthong Using Neural Networks. - Manoj Banik; Md. Modasser Hossain; Aloke Kumar Saha; Foyzul Hassan; Mohammed Rokibul Alam Kotwal; Mohammad Nurul Huda (ITNG, 2011)

Development of Analysis Rules for Bangla Part of Speech for Universal Networking Language. - Manoj Banik; Md. Rashiduzzaman Rasel; Aloke Kumar Saha; Foyzul Hassan; Mohammed Firoz Mridha; Mohammad Nurul Huda (ITNG, 2011)

Identification of Expectancy, Proximity, and Compatibility of the Bengali Language. - Nusrat Jahan; Rakib Ul Haque; Aloke Kumar Saha; Muhammad Firoz Mridha; Md. Abdul Hamid (CSE/EUC, 2019)

Identification of Extreme Guilt and Grave Fault in Bengali Language. - Rakib Ul Haque; Muhammad Firoz Mridha; Aloke Kumar Saha; Md. Abdul Hamid; Kamruddin Nur (ICCA, 2020)

Privacy-Preserving On-Screen Activity Tracking and Classification in E-Learning Using Federated Learning. - Durjoy Mistry; Muhammad Firoz Mridha; Mejdl S. Safran; Sultan Alfarhood; Aloke Kumar Saha; Dunren Che (IEEE Access, 2023)

Deep-BERT: Transfer Learning for Classifying Multilingual Offensive Texts on Social Media. - Md. Anwar Hussen Wadud; Muhammad Firoz Mridha; Jungpil Shin 001; Kamruddin Nur; Aloke Kumar Saha (Comput. Syst. Sci. Eng., 2023)

Advancing Cancer Diagnosis with LungColonGuard: A Deep Learning Framework For Lung and Colon Cancer Detection From Histopathological Image. - Farhana Sultana Eshita; Abu Bakar Siddique Mahi; Aloke Kumar Saha; Shah Murtaza Rashid Al Masud (NiDS, 2024)

QBNet: A Lightweight Quantized Model for Dynamic Banana Disease Recognition. - Abu Bakar Siddique Mahi; Farhana Sultana Eshita; Tasnim Jahin Mowla; Aloke Kumar Saha; Shah Murtaza Rashid Al Masud (NiDS, 2024)

Okkhor-Diffusion: Class Guided Generation of Bangla Isolated Handwritten Characters Using Denoising Diffusion Probabilistic Model (DDPM). - Md. Mubtasim Fuad; A. Faiyaz; Noor Mairukh Khan Arnob; Muhammad Firoz Mridha; Aloke Kumar Saha; Zeyar Aung (IEEE Access, 2024)

Explainable federated learning for privacy-preserving bangla sign language detection. - Bidita Sarkar Diba; Jayonto Dutta Plabon; Md Mahmudur Rahman; Durjoy Mistry; Aloke Kumar Saha; Muhammad Firoz Mridha (Eng. Appl. Artif. Intell., 2024)

A comprehensive approach to detecting chemical adulteration in fruits using computer vision, deep learning, and chemical sensors. - Abdus Sattar; Md. Asif Mahmud Ridoy; Aloke Kumar Saha; Hafiz Md. Hasan Babu; Mohammad Nurul Huda (Intell. Syst. Appl., 2024)