From the 1 of 7 linked papers with an AI index.
7 papers
Optimum Multiple Sampling Plan Based on the Process Capability Index Under Type-II Hybrid Censoring
Rajat Das, Tanmay Kayal, Yogesh Mani Tripathi +1
This paper proposes a stage independent multiple sampling plan (SIMSP) to improve inspection efficiency by reducing the number of samples required at each sampling stage. Unlike co…
Optimal Design for Generalized Progressive Hybrid Censored Data via Constrained, Unconstrained, Compound, and Minimax Optimization
Rathin Das, Tanmay Sen, Deepak Prajapati
The paper develops optimization methods for designing Type‑I generalized progressive hybrid censoring schemes in life‑testing experiments, balancing estimation precision, experimen…
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…
Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling
Raju Chowdhury, Tanmay Sen, Prajamitra Bhuyan +1
Constrained optimization in high-dimensional black-box settings is difficult due to expensive evaluations, the lack of gradient information, and complex feasibility regions. In thi…
Bayesian Optimum Warranty Region for Right Censored Two Dimensional Dependent Data
Tanmay Sen, Rathin Das, Ritwik Bhattacharya
Warranty policies play a crucial role in balancing customer satisfaction and cost of the manufacturer. Traditional one-dimensional warranty frameworks, based solely on either age o…
LogTinyLLM: Tiny Large Language Models Based Contextual Log Anomaly Detection
Isaiah Thompson Ocansey, Ritwik Bhattacharya, Tanmay Sen
Log anomaly detection using traditional rule based or deep learning based methods is often challenging due to the large volume and highly complex nature of log sequence. So effecti…