4 papers
Queueing Analysis and Cost Optimization in a Diagnostic--Treatment Hospital Queue with Heterogeneous Referred Patients
Shobha Rani, Rohit Dehru, Raghu Nandan Sengupta
This study develops an analytical and decision framework for a pooled hospital service comprising first-time patients who require diagnosis followed by treatment and referred patie…
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…