A reliable and accurate diagnosis and identification system is required to prevent and
manage tea leaf diseases. Tea leaf diseases are detected manually, increasing time and …

This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …

The first edition of this textbook was published in 2021. Over the past two years, we have
invested in enhancing all aspects of deep learning methods to ensure the book is …

Automated driving is an inevitable trend in future transportation, it is also one of the eminent
achievements in the matter of artificial intelligence. Deep learning produces a significant …

Flame recognition is of great significance in fire prevention. However, current algorithms for
flame detection have some problems, such as missing detection and false detection, and the …

This study proposes a mother-slave robot tracking system that identifies the target, predicts
its location, and tracks it based on a single image. The proposed system utilizes a …

Efficient fruit detection and counting are crucial to improve fruit industrial efficiency and
assist the farmers to develop reasonable harvesting strategies in advance while significantly …

This paper presents a 3D multiple object detection and tracking framework for identifying
and quantifying changes in fish behaviour through tracking the 3D position, distance and …

Autonomous driving has received much attention in the last decade as a key component of
intelligent transportation, and vehicle detection serves as a fundamental task for …

Traffic safety on highways is supported by a variety of technical measures, including
countless camera systems that are often only monitored by human operators. However, due …