5 citations · 13 across the 11 of their papers we have counts for
7 papers · 1 filter
Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles
Joyjit Roy, Samaresh Kumar Singh, Laxmi Shaw
Customer churn prediction is essential across data-driven industries such as insurance, digital banking, eCommerce, and subscription platforms, where retaining existing customers i…
A Delta-Aware Orchestration Framework for Scalable Multi-Agent Edge Computing
Samaresh Kumar Singh, Joyjit Roy
The Synergistic Collapse occurs when scaling beyond 100 agents causes superlinear performance degradation that individual optimizations cannot prevent. We observe this collapse wit…
Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling
Joyjit Roy, Samaresh Kumar Singh, Sushanta Das +1
Road crashes remain a leading cause of preventable fatalities. Existing prediction models predominantly produce binary outcomes, which offer limited actionable insights for realtim…
Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems
Samaresh Kumar Singh, Joyjit Roy
Though Explainable AI (XAI) has made significant advancements, its inclusion in edge and IoT systems is typically ad-hoc and inefficient. Most current methods are "coupled" in such…
Decentralized Multi-Agent Swarms for Autonomous Grid Security in Industrial IoT: A Consensus-based Approach
Samaresh Kumar Singh, Joyjit Roy, Chirag Agrawal
As Industrial Internet of Things (IIoT) environments scale to tens of thousands of connected devices, centralized security architectures introduce latency bottlenecks that sophisti…
Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems
Samaresh Kumar Singh, Joyjit Roy, Martin So
Recent attacks on critical infrastructure, including the 2021 Oldsmar water treatment breach and 2023 Danish energy sector compromises, highlight urgent security gaps in Industrial…
Comparative Evaluation of Embedding Representations for Financial News Sentiment Analysis
Joyjit Roy, Samaresh Kumar Singh
Financial sentiment analysis enhances market understanding. However, standard Natural Language Processing (NLP) approaches encounter significant challenges when applied to small da…