Author

Kumar Dorthi

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Open access Aug 2026

Multi domain neural fusion for adaptive anomaly detection in connected and automated vehicles

A real-time hybrid anomaly detection framework that combines an LSTM-based time-domain model for sequential behavior analysis, an FFT-based frequency-domain model for spectral anomaly detection, and a context-aware multilayer perceptron (MLP) for incorporating environmental factors is proposed.

Kumar Dorthi, Ravi Kanth Kotha, Neelima Bayyapu · Discover Artificial Intellig... · 0 citations

Open access Aug 2026

Interpretable rehabilitation-oriented motion anomaly detection using wearable sensor data

A Support Vector-Guided Decomposition framework for semi-supervised rehabilitation-oriented motion anomaly detection using wearable sensor data that integrates low-rank and sparse matrix decomposition with margin-based discriminative learning and performs well even with limited labeled data.

Kumar Dorthi, Kiran Kumar Mamidi, Ravi Kanth Kotha et al. · Scientific Reports · 0 citations