4 papers
Capacity Control in a Single-Server Diagnostic--Treatment Queue with Heterogeneous Treatment Modes
Shobha Rani, Rohit Dehru, Raghu Nandan Sengupta
This study develops an analytical and decision framework for a pooled single-server diagnostic--treatment service receiving both first-time and referred patients. A first-time pati…
LLM Inference Under Bursty Workload Distribution: Modifying the WAIT Algorithm
Anjali Gangadhar Katageria, Shobha Rani, Raghu Nandan Sengupta
Large Language Models (LLMs) such as ChatGPT and Claude are widely used for information retrieval and problem-solving. Recent work has focused on improving scheduling algorithms to…
Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization
Sounaq Das, Tanmay Sen, Raghu Nandan Sengupta +1
Portfolio optimization under uncertainty is inherently a multi-objective decision problem involving complex interactions among return, risk, market dynamics, and practical investme…
Likelihood-Based Regression for Weibull Accelerated Life Testing Model Under Censored Data
Rahul Konar, Ramnivas Jat, Neeraj Joshi +1
In this paper, we investigate accelerated life testing (ALT) models based on the Weibull distribution with stress-dependent shape and scale parameters. Temperature and voltage are…