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• Published Subscription Review Article 30 May 2026

  AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study

  By Kazi Kutubuddin Sayyad Liyakat, Kaustubh Subhash Mangrulkar

  Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …

  Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article →