Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and ...
Abstract: Deep learning has made significant contributions for agriculture and environmental monitoring. However, it is often viewed as “unexplainable black box”, which limits its adoption and trust.
Abstract: The land use (LU) classification of remote sensing (RS) images has broad applications in various fields. In recent years, hybrid convolutional neural networks (CNNs)–Transformer models have ...
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...