Cavity detection in dental X-rays is essential for early diagnosis and treatment planning, yet traditional deep learning approaches often rely on binary classification of entire images, overlooking ...

Abstract: The use of satellite imagery to classify scenes is of high importance in environment monitoring, surveillance, and in analyzing the scenes with other intentions for different functions. The ...

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.

Department of Biotechnology, School of Arts and Sciences, American University of Ras Al Khaimah, Ras Al Khaimah, United Arab Emirates Artificial Intelligence and machine learning tools have brought a ...