Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
Abstract: In recent years, battery degradation has become a critical concern in various industries, including electric vehicles, renewable energy systems, and portable electronics. To address this ...
Abstract: This paper introduces a novel optimized hybrid model combining Long Short-Term Memory (LSTM) and Transformer deep learning architectures designed for power load forecasting. It leverages the ...
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), ...
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