3 papers
cs.DC2026
QEIL v2: Heterogeneous Computing for Edge Intelligence via Roofline-Derived Pareto-Optimal Energy Modeling and Multi-Objective Orchestration
Satyam Kumar, Saurabh Jha
Deploying large language models (LLMs) on heterogeneous edge devices demands frameworks that jointly optimize energy efficiency, inference quality, and reliability. Our prior QEIL…
cs.LG2025
CR3G: Causal Reasoning for Patient-Centric Explanations in Radiology Report Generation
Satyam Kumar
Automatic chest X-ray report generation is an important area of research aimed at improving diagnostic accuracy and helping doctors make faster decisions. Current AI models are goo…
cs.LG2025
A Comprehensively Adaptive Architectural Optimization-Ingrained Quantum Neural Network Model for Cloud Workloads Prediction
Jitendra Kumar, Deepika Saxena, Kishu Gupta +2
Accurate workload prediction and advanced resource reservation are indispensably crucial for managing dynamic cloud services. Traditional neural networks and deep learning models f…