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Guruprasath Sankaran

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Open access Aug 2026

A Hybrid Deep Learning Architecture with Retrieval-Augmented Explanation Generation for Interpretable EEG-Based Stress Classification Across Multiple Paradigms

This paper presents a hybrid deep learning architecture integrating convolutional neural networks, bidirectional long short-term memory networks, self-attention, and retrieval-augmented generation (RAG) for accurate and interpretable electroencephalography (EEG)-based stress detection. The compact EEG encoder contains...

Guruprasath Sankaran · 4 citations
Open access Jun 2026

Small Language Models and Spec-Driven Development for High-Accuracy Agentic AI Systems

A hybrid architecture in which a lightweight dispatcher takes in structured tasks, which are routed to specialist LoRA fine-tuned SLMs, suggesting that specialized SLMs with explicit specifications and selective LLM fallback are a practical, scalable, and low-energy foundation for next-gen high-accuracy agentic AI syst...

Guruprasath Sankaran · 0 citations

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