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• Published Subscription Original Research 30 Oct 2026

  AI-Driven IoT-Based Decision-Making System for Brainwave Study: The KSK Approach

  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 · pp. 28–35 Read article →