Electrical Current Signature-Based Machine Learning Models for Streetlight Fault Prediction in Smart City Infrastructure

Chronological Evaluation of LSTM Forecasting and XGBoost Anomaly Detection in Three-Phase Power Monitoring

Three-phase electrical monitoring produces multivariate streams that support both short-term power forecasting and early anomaly detection. This study evaluates a joint LSTM-XGBoost workflow on 30,240 semi-synthetic one-minute records containing 35 attributes and seven anomaly types. The labels were generated by rule-b...

An open-source low-power wheel detector node for urban rail monitoring

Graphical abstract

of industrial EMI mitigation strategies and the proposed intelligent protection framework

Proactive Infrastructure Monitoring in Smart Cities via WSNs

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OPTIMAL ENERGY MANAGEMENT FOR SMART HOMES CONSIDERING ELECTRIC VEHICLE INTEGRATION

A Bayesian-optimized Ensemble Framework for Intrusion Detection Using Hybrid Feature Selection

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