Satyasaran Changdar

According to our database, Satyasaran Changdar authored at least 14 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Adaptive Memory Crystallization for Autonomous AI Agent Learning in Dynamic Environments.

Rajat Khanda, Mohammad Baqar Sambuddha Chakrabarti, Satyasaran Changdar

CoRR, April, 2026

GeoFed-Cervix: A Differential Geometry-Guided Federated and Explainable AI Framework for Early Cervical Cancer Detection on Consumer Devices.

Sabyasachi Mukhopadhyay, Nazeer Haider, Chinmay Chakraborty, Saranjit Singh, Satyasaran Changdar, Pabitra Mitra

IEEE Trans. Consumer Electron., February, 2026

Transforming Healthcare with State-of-the-Art Medical-LLMs: A Comprehensive Evaluation of Current Advances Using Benchmarking Framework.

Himadri Nath Saha, Dipanwita Chakraborty Bhattacharya, Sancharita Dutta, Arnab Bera, Srutorshi Basuray, Satyasaran Changdar, Saptarshi Banerjee, Jon Turdiev

Comput. Mater. Continua, 2026

A refined physics-informed neural network framework for solving nonlinear partial differential equations and extracting analytical expressions via symbolic regression.

Satyasaran Changdar, Joy Das, Bivas Bhaumik, Soumen De

Comput. Math. Appl., 2026

2025

Gradient Enhanced Self-Training Physics-Informed Neural Network (gST-PINN) for Solving Nonlinear Partial Differential Equations.

Narayan S. Iyer, Bivas Bhaumik, Ram S. Iyer, Satyasaran Changdar

CoRR, October, 2025

Physics-informed neural network with symbolic regression for deriving analytical approximate solutions to nonlinear partial differential equations.

Joy Das, Bivas Bhaumik, Soumen De, Satyasaran Changdar

Neural Comput. Appl., August, 2025

Extending Group Relative Policy Optimization to Continuous Control: A Theoretical Framework for Robotic Reinforcement Learning.

Rajat Khanda, Mohammad Baqar, Sambuddha Chakrabarti, Satyasaran Changdar

CoRR, July, 2025

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., March, 2024

Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet.

Sumit Pandey, Satyasaran Changdar, Mathias Perslev, Erik B. Dam

CoRR, 2024

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

2021

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

2019

Solution of Definite Integrals using Functional Link Artificial Neural Networks.

Satyasaran Changdar, Snehangshu Bhattacharjee

CoRR, 2019

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

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, Soham Mandal, Satyasaran Changdar

Proceedings of the 2015 International Conference on Advances in Computing, 2015