Category: Computer Science
Understanding the Self-Adversarial Nature of Large Lang...
Large language models (LLMs) have revolutionized natural language processing (NLP) by generating human-like text and reasoning. Ho...
Revolutionizing Edge AI: Operationalizing ML Models wit...
In the world of industrial automation and IoT (Internet of Things), the demand for intelligent, real-time systems that can operate...
Advancing Multi-Agent Reinforcement Learning: Learning ...
In the dynamic landscape of artificial intelligence, Multi-Agent Reinforcement Learning (MARL) stands out as a pivotal area, enabl...
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 ...
COVID-19, caused by the SARS-CoV-2 virus, was declared a global pandemic by the World Health Organization (WHO) in March 2020. The...
Quantum Advantage in Decentralized Control of POMDPs: A...
Decentralized control of partially observable Markov decision processes (POMDPs) is a fundamental problem in cooperative multi-age...
Event-Based Adaptive Koopman Framework for Optic Flow-G...
Landing unmanned aerial vehicles (UAVs) on moving platforms is a challenging task due to environmental uncertainties and dynamic p...
Energy-Efficient Printed Machine Learning Classifiers w...
Printed electronics (PE) offer a cost-effective and flexible alternative to traditional silicon-based systems. However, high power...
Toward Explainable NILM: Real-Time Event-Based NILM Fra...
Non-Intrusive Load Monitoring (NILM) is a powerful tool for analyzing appliance-level energy consumption without additional hardwa...
