An optimized hyper kurtosis based modified duo-histogram equalization (HKMDHE) method for contrast enhancement purpose of low contrast human brain CT scan images. - Sabyasachi Mukhopadhyay; Nirmalya Ghosh; Ritwik Burman; Prasanta K. Panigrahi; Sawon Pratiher; M. Venkatesh 002; Soham Mandal; Satyasaran Changdar (ICACCI, 2015)

A comparative study between proposed Hyper Kurtosis based Modified Duo-Histogram Equalization (HKMDHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) for Contrast Enhancement Purpose of Low Contrast Human Brain CT scan images. - Sabyasachi Mukhopadhyay; Soham Mandal; Sawon Pratiher; Satyasaran Changdar; Ritwik Burman; Nirmalya Ghosh; Prasanta K. Panigrahi (CoRR, 2015)

Solution of Definite Integrals using Functional Link Artificial Neural Networks. - Satyasaran Changdar; Snehangshu Bhattacharjee (CoRR, 2019)

Physics-based smart model for prediction of viscosity of nanofluids containing nanoparticles using deep learning. - Satyasaran Changdar; Bivas Bhaumik; Soumen De (J. Comput. Des. Eng., 2021)

Nanoparticle aggregation and electro-osmotic propulsion in peristaltic transport of third-grade nanofluids through porous tube. - Soumini Dolui; Bivas Bhaumik; Soumen De; Satyasaran Changdar (Comput. Biol. Medicine, 2024)

Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet. - Sumit Pandey; Satyasaran Changdar; Mathias Perslev; Erik B. Dam (CoRR, 2024)

Deep learning based solution of nonlinear partial differential equations arising in the process of arterial blood flow. - Bivas Bhaumik; Soumen De; Satyasaran Changdar (Math. Comput. Simul., 2024)

Extending Group Relative Policy Optimization to Continuous Control: A Theoretical Framework for Robotic Reinforcement Learning. - Rajat Khanda; Mohammad Baqar; Sambuddha Chakrabarti; Satyasaran Changdar (CoRR, 2025)