Abstract: The demand for remote biometric technologies to monitor drowsiness levels is expected to increase in the future of autonomous driving. Facial skin is constantly exposed to the outside world ...
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: 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 ...
This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the accuracy ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results