Intelligent transportation systems (ITSs) derive significant advantages from advanced
models like YOLOv8, which excel in predicting traffic incidents in dynamic urban …

Underwater object detection is a prerequisite for underwater robots to achieve autonomous
operation and ocean exploration. However, poor imaging quality, harsh underwater …

With the exploration and development of marine resources, deep learning is more and more
widely used in underwater image processing. However, the quality of the original …

A primary problem affecting the sustainable development of aquaculture is fish skin
diseases. In order to prevent the outbreak of fish diseases and to provide prompt treatment …

This paper introduces an innovative approach to underwater exploration by integrating
Artificial Intelligence (AI) into Autonomous Underwater Vehicles (AUVs). This collaboration …

COVID‐19 has remained a threat to world life despite a recent reduction in cases. There is
still a possibility that the virus will evolve and become more contagious. If such a situation …

Fish image classification tool is important in the field of ichthyology. In this paper, we present
a fish image classification benchmark comparison across different types of convolutional …

Facade maintenance actions are driven by results obtained in the inspection phase. Some
methodological proposals aimedat optimizing the inspection process have been discussed …

Object detection models are usually trained and evaluated on highly complicated,
challenging academic datasets, which results in deep networks requiring lots of …

This book chapter presents a real-time system for detecting the stability of a player's billiard
shot, based on the YOLOv8 neural network. The system comprises a real-time object …