Class activation mapping (CAM) is one of the most widely used visual explanation families in explainable artificial intelligence. Its purpose is intuitive: it converts internal model evidence into a heatmap that highlights the image regions, convolutional channels, tokens, or patches that support a target class or conc...
AmirHossein Eshghi, Hamid Saadatfar, S. A. Hoseini et al.· 0 citations
Accurately forecasting river runoff is key to managing water resources, controlling floods, and planning agriculture. This study examines the Ajichay River in northwest Iran, a major tributary of Lake Urmia that has experienced increasing water-related stress in recent years. We introduce a daily runoff prediction mode...
This study designs and implements a multi-purpose intelligent system to support students' academic progress, based on a two-part hybrid framework: an advanced model for grade prediction and a rule-based recommendation engine.
Hamid Saadatfar, Rohollah Hedayati-Nasab, AmirHossein Eshghi et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.