There is a rapid increase in the installed capacity of offshore wind power plants (WPPs) worldwide, and trend will continue context recent EU energy crisis Ukraine war. As share increases systems, it essential that WPPs can stay connected with grid during different operational events provide ancillary services. Recent research has identified Phase Locked Loop (PLL) converter control as contribu...

Image recognition has been applied to many fields, but it is relatively rarely medical images. Recent significant deep learning progress for image raised strong research interest in recognition. First of all, we found the prediction result using VGG16 model on failed pneumonia X-ray Thus, this paper proposes IVGG13 (Improved Visual Geometry Group-13), a modified classification X-rays Open-sourc...

Fast and accurate smoke detection is very important for reducing fire damage. Due to the complexity changeable nature of scenes, existing technology has problems a low rate high false negative rate, robustness generalization ability algorithms are not high. Therefore, this paper proposes model based on improved YOLOv5. First, large number real synthetic images were collected form dataset. Diffe...

The rapid development of the automobile industry has made life easier for people, but traffic accidents have increased in frequency recent years, making vehicle safety particularly important. This paper proposes an improved YOLOv5s algorithm identification and detection to reduce driving issues based on this problem. In order solve problems a disappearing model training gradient algorithm, diff...

Automatic detection of damaged buildings from satellite remote sensing data has become an urgent problem to rescue planners and military personnel. Unfortunately are in different dimensions shapes with roofs depending on the type material be painted. In this study, we present improved Swin-Unet approach that comprises three main operations. First, as a Unet-like pure Transformer is used for mul...