2 citations · 3 across the 6 of their papers we have counts for
6 papers
Adaptive Memory Crystallization for Autonomous AI Agent Learning in Dynamic Environments
Rajat Khanda, Mohammad Baqar, Sambuddha Chakrabarti +1
Autonomous AI agents operating in dynamic environments face a persistent challenge: acquiring new capabilities without erasing prior knowledge. We present Adaptive Memory Crystalli…
Gradient Enhanced Self-Training Physics-Informed Neural Network (gST-PINN) for Solving Nonlinear Partial Differential Equations
Narayan S Iyer, Bivas Bhaumik, Ram S Iyer +1
Partial differential equations (PDEs) provide a mathematical foundation for simulating and understanding intricate behaviors in both physical sciences and engineering. With the gro…
Extending Group Relative Policy Optimization to Continuous Control: A Theoretical Framework for Robotic Reinforcement Learning
Rajat Khanda, Mohammad Baqar, Sambuddha Chakrabarti +1
Group Relative Policy Optimization (GRPO) has shown promise in discrete action spaces by eliminating value function dependencies through group-based advantage estimation. However,…
Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet
Sumit Pandey, Satyasaran Changdar, Mathias Perslev +1
Automated segmentation of distinct tumor regions is critical for accurate diagnosis and treatment planning in pediatric brain tumors. This study evaluates the efficacy of the Multi…
Solution of Definite Integrals using Functional Link Artificial Neural Networks
Satyasaran Changdar, Snehangshu Bhattacharjee
This paper discusses a new method to solve definite integrals using artificial neural networks. The objective is to build a neural network that would be a novel alternative to pre-…
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 +4
In this paper, a comparative study between proposed hyper kurtosis based modified duo-histogram equalization (HKMDHE) algorithm and contrast limited adaptive histogram enhancement…