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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Atefeh Abedzadeh Attar

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2 papers indexed here

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Review Open access Sep 2026

A review on machine learning and deep learning approaches for depressive disorder diagnosis based on EEG and ERP signals

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 · 0 citations
Open access Aug 2026

A Multimodal Deep Learning Based Framework for Early and Accurate Diagnosis of Depression Using Electroencephalography and Event‐Related Potential Signals

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 · 0 citations

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