Over recent years, there has been a rapid development of deep learning (DL) in both
industry and academia fields. However, finding the optimal hyperparameters of a DL model …

Brain tumor classification is an expensive complicated challenge in the sector of clinical
image analysis. Machine learning algorithms enabled radiologists to accurately diagnose …

Renewable energy, especially wind power, is a practicable and promising solution to
mitigate the existing dilemma associated with climate change. Efficient and accurate …

With the rapid increase of ageing infrastructures worldwide, effective and robust inspection
techniques are highly demanding to evaluate structural conditions and residual lifetime. The …

Accurate prediction of solar energy is an important issue for photovoltaic power plants to
enable early participation in energy auction industries and cost-effective resource planning …

With the emergence of deep neural networks, many research fields, such as image
classification, object detection, speech recognition, natural language processing, machine …

Wind energy is experiencing rapid global growth. However, wind power generation time
series data often exhibit nonlinear and non-stationary characteristics, which make precise …

Abstract The integration of Artificial Intelligence (AI) into supply chain management has
emerged as a pivotal avenue for enhancing efficiency and resilience in contemporary …

Recommender systems are popular tools used in many applications, such as e-commerce, e-
learning, and social networks to help users select their desired items. Collaborative filtering …

Differentiable neural architecture search (DARTS), as a gradient-guided search method,
greatly reduces the cost of computation and speeds up the search. In DARTS, the …