Mazdak Zamani

Deep learning models for reliable weather forecasting in crowded regions performing traditional or religious activities

Forecasting weather during large-scale traditional or religious events in densely populated regions is particularly challenging because of the ever-evolving microclimatic changes caused by human activities. This study designed and tested two new deep learning-based approaches for...

A Hybrid Vision Transformer and EfficientNet-B3 Framework for Facial Expression Recognition

Facial expression recognition technology is vital for security, verification, and personalization, but it faces challenges due to variations in scale, illumination, occlusion, and facial expressions. This paper presents a hybrid architecture that combines Vision Transformers (ViT...