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R. Sitharthan

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Open access Oct 2026

An AI-driven hybrid random forest-LSTM framework for IoT-based groundwater level prediction and sustainable water management in Chennai, India

Groundwater resources in Chennai, Tamil Nadu, India are under increased stress due to rapid urbanization, erratic monsoon patterns and largely unregulated groundwater extraction. Addressing this challenge requires not only continuous monitoring but also accurate forecasting of groundwater fluctuations. This...

S. Boomika, R. Sitharthan, R. Tanukasree et al. · 0 citations
Open access Jul 2026

Temporal deep learning framework for multi condition fault classification of three-phase induction motors

Deep learning frameworks, such as Simple Recurrent Neural Network, Long Short-Term Memory, Long Short-Term Memory, Bidirectional LSTM, Bidirectional LSTM, and Gated Recurrent Unit, are employed for the detection and categorization of IM.

R. Sooraj, S. Ramu, R. Sitharthan et al. · 0 citations

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