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Communication and Traffic Patterns-Aware Evolutionary Optimized Light Gradient Boosting Model for Anomaly Prediction in Industrial IoT | Synapse
March 3, 2026
Communication and Traffic Patterns-Aware Evolutionary Optimized Light Gradient Boosting Model for Anomaly Prediction in Industrial IoT
GB
Geetanjali Bhoi
Veer Surendra Sai University of Technology
BN
Bighnaraj Naik
RS
Rajat Kumar Sahu
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Key Points
Anomaly prediction in industrial IoT is significantly improved through a light gradient boosting model.
Results indicate a 15% increase in prediction accuracy with optimized communication and traffic patterns.
Evaluation employed advanced light gradient boosting techniques to identify anomalies effectively in industrial environments.
Potential enhancements in industrial IoT systems through anomaly detection support better reliability and efficiency.
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Bhoi et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75bc3c6e9836116a23b27
https://doi.org/https://doi.org/10.1007/s40031-026-01287-8