Abstract: Detection of road damages is critical for road safety and efficient road maintenance. In this article, we present deep learning solution for image pothole detection with 3 popular object ...
Abstract: Dementia, a neurodegenerative disorder, requires early prediction and effective diagnosis for providing better treatment to avert the loss. The detection and classification of disease is ...
Abstract: This research investigates the multidimensional domain of color image optimization design for emotional product color design, in this case, tricolor product color schemes. By introducing ...
Abstract: The Internet of Things (IoT) concept past far utilized in the past years, resulting in the establishment of Smart Cities. IoT has been A key player in a variety of sectors, including ...
Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...
Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
Abstract: Addressing the issues of traditional machine learning-based stress recognition, which require manual feature extraction and exhibit low accuracy, this paper proposes a feature extraction ...
US personnel were working alongside Kenyan staff with Church World Service, a refugee resettlement partner. In a statement to CNN, South Africa’s Department of Home Affairs said it carried out an ...
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