Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …

The power transmission lines are the link between power plants and the points of
consumption, through substations. Most importantly, the assessment of damaged aerial …

Predicting not only the target but also an accurate measure of uncertainty is important for
many machine learning applications, and in particular, safety-critical ones. In this work, we …

Vision-based target detection and segmentation has been an important research content for
environment perception in autonomous driving, but the mainstream target detection and …

Maternal health includes health during pregnancy and childbirth. Each stage during
pregnancy should be a positive experience, ensuring that women and their babies reach …

As the real electromagnetic environment grows complex and the quantity of radar signals
turns massive, traditional methods, which require a large amount of prior knowledge, are …

As the issues related to climate change intensify, new methods to raise awareness of
environmental issues, foster pro-environmental attitudes and behaviors, and offer a viable …

The performance of a neural network depends on the availability of datasets, and most deep
learning techniques lack accuracy and generalization when they are trained using limited …

In recent years, there has been the notable emergency of artificial intelligence (AI) as a
transformative force in multiple domains, including orthodontics. This review aims to provide …