Abstract Autonomous Underwater Vehicles (AUVs) have been focused on by research
efforts because of their extensive applications in scientific, commercial as well as military …

Preventing and controlling grape diseases is essential for a good grape harvest. With the
help of “single shot multibox detectors”,“faster region based convolutional neural networks” …

Tea leaf disease is a factor leading to the decline of tea quality and yield. In this study, a
multi-convolutional neural network (CNN) model, MergeModel, combined with diseased leaf …

With the growing interest in underwater exploration and monitoring, Autonomous
Underwater Vehicles (AUVs) have become essential. The recent interest in onboard Deep …

Autonomous Underwater Vehicle (AUV) is an automated navigation device, which can
independently complete the underwater investigation and detection without supervision …

Prevention and control of grape diseases is the key measure to ensure grape yield. In order
to improve the precision of grape leaf disease detection, in this study, Squeeze-and …

The AUV (Autonomous Underwater Vehicle) navigation process relies on the interaction of a
variety of sensors. The side-scan sonar can collect underwater images and obtain semantic …

Precise navigation is essential for autonomous underwater vehicles (AUVs). The
measurement deviation of the navigation sensors, especially the microelectromechanical …

Underwater terrain image (UTI) matching provides a new idea for terrain-aided localization
technology. However, the diversity of UTIs makes it very difficult to accurately match real …

In this paper, a hybrid whale optimization algorithm based on the Lévy flight strategy (LWOA)
and lateral inhibition (LI) is proposed to solve the underwater image matching problem in an …