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 ...

Abstract: This paper presents a novel sequence-to-sequence LSTM-based routing algorithm, designed for delay-sensitive remote IoT communication via both terrestrial and Low Earth Orbit (LEO) satellite ...