Author

Hamid Saadatfar

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Review Aug 2026

Class Activation Mapping in Explainable Computer Vision: A Method-Centered Review of CNN, Transformer, and Foundation-Model-Era Visual Explanations

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

#artificial intelligence Preprint Aug 2026

A Multi-Timestep LSTM Ensemble regressor for Enhanced Short-Term Runoff Prediction

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...

Hamid Saadatfar, AmirHossein Eshghi, Behnaz Behdani · 0 citations

#artificial intelligence Preprint Aug 2026

A Hybrid AI Framework for Academic Advising: Integrating Ensemble-Based Grade Prediction and a Rule-Based Expert System

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