Abstract: Applying ML techniques into smart grid architectures has transformed the predictive maintenance to a level that can predict equipment failures before they occur. This approach reduces the ...

Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...

Abstract: Accurate and automatic segmentation of lifespan brain MRI into regions of interest (ROIs) is crucial for studying brain development, aging, and early diagnosis of neurological diseases.

Abstract: Automatic modulation recognition (AMR) is essential for ensuring the physical-layer security for Internet of Things (IoT) networks. Despite advancements in deep learning, most current AMR ...

Abstract: This paper introduces an innovative content-based image retrieval system for precise and effective retrieval of satellite images. The system integrates liquid autoencoders with shearlet ...

Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...

Abstract: The morphological characteristics of retinal blood vessels play an essential role in the computer-assisted diagnosis of fundus-related diseases. In this paper, a retinal vessel segmentation ...

Abstract: This study proposed a method that integrates multi-view image processing, depth estimation, and point cloud generation to accurately reconstruct a 3D model of a rail. The method is tested by ...