CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
As the economy and society continue to develop, the range of underwater vehicles is expanding and technology is constantly being upgraded. Consequently, it is becoming increasingly difficult to ...
Introduction: The cigar leaves moisture content (CLMC) is a critical parameter for controlling curing barn conditions. Along with the continuous advancement of deep learning (DL) technologies, ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Abstract: This paper overviews crack detection and classification in building images. These images can provide important information for the maintenance and repair of building structures, thus ...
Abstract: This study presents a novel method that utilizes Region-based Convolution Neural Network (R-CNN) for identifying objects in an image, and then, localizes the image using a pre-stored map of ...
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