Accurate localization of colon polyps plays a crucial role in the early diagnosis of colon cancer. In this paper, we propose a novel network architecture, X-Net, which integrates the Pyramid Vision Transformer (PVT) and EfficientNet-B0. We selected EfficientNet-B0 due to its optimized design and computational efficienc...
Benyamin Mirab Golkhatmi, M. Moattar· Applied Informatics· 0 citations
This review delivers a comprehensive analysis of the 69 published articles from 2020 to 2026 that exhibit ML/DL methods for recognizing depression based on EEG and ERP datasets and provides guidance for researchers in this field by pointing out challenges, research gaps, and suggestions for future directions.
Atefeh Abedzadeh Attar, M. Moattar, E. Kheirkhah· Discover Artificial Intellig...· 0 citations
This is the first study to integrate EEG and ERP data in a multimodal fashion using three feature sets, achieving a high accuracy of 91% with GRU‐based classification and indicates that the combination of multimodal features and deep learning can help improve the accuracy of depression diagnosis and develop effective a...
Atefeh Abedzadeh Attar, M. Moattar, Y. Forghani· Applied AI Letters· 0 citations
Experimental results on the Twitter US Airline Sentiment dataset demonstrate that the proposed framework achieves strong classification performance while maintaining low training complexity, highlighting the effectiveness of combining Large Language Model (LLM) based data augmentation with parameter‐efficient transform...
Hossein Nekkouei Nasrabadi, M. Moattar· Applied AI Letters· 1 citation
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