Abstract: While the safety concerns of lithium-ion batteries have garnered increasing attention due to the frequent accidents in electric vehicles and energy storage stations, fault diagnosis serves ...
Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
An ML-powered monitoring system that detects anomalous BGP route behavior in real-time. The system processes live BGP update streams, applies multiple detectors (Isolation Forest + LSTM autoencoder), ...
Abstract: The prevalence of zero values in zero-inflated time-series (ZI-TS) data poses significant challenges for traditional LSTM networks in learning long-term dependencies and trends. Specifically ...
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