In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

Learn how to implement the Adam optimization algorithm from scratch in Python! This step-by-step guide breaks down the math, coding process, and practical examples to help you understand one of the ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

Abstract: The rapid proliferation of Internet of Things (IoT) devices has brought new challenges in designing efficient, adaptive, and communication-aware optimization strategies under strict resource ...

Abstract: Iterative learning control (ILC) has demonstrated effectiveness in urban traffic signal control systems. However, conventional ILC methods typically require infinite iterations to achieve ...

The final, formatted version of the article will be published soon. In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective ...