Investigate the Correlation of Breast Cancer Dataset using Different Clustering Technique. - Somenath Chakraborty; Beddhu Murali (CoRR, 2021)

Enhanced Multigradient Dilution Preparation. - Meenakshi Sanyal; Somenath Chakraborty (CoRR, 2021)

A Competent Deep Learning Model to Detect COVID-19 Using Chest CT Images. - Somenath Chakraborty; Beddhu Murali (MIDI, 2022)

The Classification of Native and Invasive Species in North America: A Transfer Learning and Random Forest Pipeline. - Sayani Sarkar; Somenath Chakraborty (RTIP2R, 2022)

A Novel Distributed Database Architectural Model for Mobile Cloud Computing. - Somenath Chakraborty; Dia Ali; Beddhu Murali (CoRR, 2022)

Optimal incentive contracts with a spiteful principal: Single agent. - Swapnendu Banerjee; Somenath Chakraborty (Math. Soc. Sci., 2023)

EMDA-Net: Earth Mover's Distance (EMD) influenced Attention-aided Neural Network for Medical Image Classification. - Surya Majumder; Kushaj Mallick; Wrick Pal; Somenath Chakraborty; Ram Sarkar (CogMI, 2024)

Predicting the Early Detection of Breast Cancer Using Hybrid Machine Learning Systems and Thermographic Imaging. - Mohammad Mehdi Hosseini; Zahra Mosahebeh; Somenath Chakraborty; Abdorreza Alavi Gharahbagh (Int. J. Imaging Syst. Technol., 2024)

DeMoS: dense module based gene signature detection through quasi-clique: an application to cervical cancer prognosis. - Suparna Saha; Soumita Seth; Soumadip Ghosh; Guimin Qin; Tapas Bhadra; Soumen Kumar Pati; Somenath Chakraborty; Saurav Mallik (Netw. Model. Anal. Health Informatics Bioinform., 2024)