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Author

Farid Feyzi

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Aug 2026

Hybrid CNN-LSTM-channel attention model for multi-class seedling classification using RGB images

A new hybrid deep learning architecture is proposed by combining Convectional Neural Networks, Long Short-Term Memory (LSTM) units, and a channel-wise attention module that can address such critical challenges as inter-class visual similarity, dataset class imbalance, and environmental variability.

Elaheh Moharamkhani, Farid Feyzi, Arash Hemmati et al. · 0 citations
#machine learning Preprint Aug 2026

MITRE-SAGE: A Multi-Agent Cybersecurity Question-Answering Model

This work proposes MITRE-SAGE, a multi-agent retrieval-augmented generation framework that integrates semantic and structural cybersecurity knowledge to improve the reliability and interpretability of LLM-based QA systems and proposes MITRE-QA, a comprehensive benchmark for evaluating LLMs across diverse cybersecurity...

Ali Habibzadeh, Farid Feyzi, Reza Ebrahimi Atani · 0 citations

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