Machine learning (ML) approaches have become ubiquitous in the search for new materials in recent years. Bayesian optimization (BO) based on Gaussian processes (GPs) has become a widely recognized ...

Keywords: autonomous navigation, robotic control, path tracking, deep reinforcement learning, SLAM, RS-DDPG algorithm Citation: Khan S, Niaz A, Yinke D, Shoukat MU and Nawaz SA (2025) Deep ...

For example, Reddy et al. [17] adopted the arithmetic optimization algorithm with improved math optimizer accelerated Function (IMOA-AOA) to optimize and adjust the parameters of deep learning methods ...

Professor Zhou's latest project, titled "Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models," attempts to solve the overshoot issue. He explains, "The Adan optimizer can ...

This manuscript designs an Archimedes Optimization Algorithm with Deep Learning Assisted Content-Based Image Retrieval in Healthcare Sector (AOADL-CBIRH) technique. The AOADL-CBIRH technique intends ...

Deep learning's widespread adoption in various fields has made distributed training across multiple computing nodes essential. However, frequent communication between nodes can significantly slow down ...