Convolutional neural networks (CNN) are widely used in computer vision and medical
image analysis as the state-of-the-art technique. In CNN, pooling layers are included mainly …

Vehicle re-identification (Re-ID) is one of the promising applications in the field of computer
vision. Existing vehicle Re-ID methods mainly focus on global appearance features or pre …

Simple Summary One of the hottest areas in deep learning is computerized tumor diagnosis
and treatment. The identification of tumor markers, the outline of tumor growth activity, and …

The relevance of the tasks of detecting and recognizing objects in images and their
sequences has only increased over the years. Over the past few decades, a huge number of …

Several preprocessing procedures are required for the classification of microplastics (MPs)
in aquatic systems using spectroscopic analysis. Procedures such as oxidation, which are …

Breast cancer is one of the most commonly diagnosed cancers in the world that has
overtaken lung cancer and is considered a leading cause of molarity. The current study …

With the rapid pace of urbanization, the number of vehicles traveling between cities has
increased significantly. Consequently, many traffic-related problems have emerged, such as …

The diversity of change detection (CD) methods and the limitations in generalizing these
techniques using different types of remote sensing datasets over various study areas have …

Automated techniques for Arabic content recognition are at a beginning period contrasted
with their partners for the Latin and Chinese contents recognition. There is a bulk of …

Актуальность задач обнаружения и распознавания объектов на изображениях и их
последовательностях с годами только возрастает. За последние несколько …