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January 28, 2026Journal of The Institution of Engineers (India) Series B

Communication and Traffic Patterns-Aware Evolutionary Optimized Light Gradient Boosting Model for Anomaly Prediction in Industrial IoT

Geetanjali Bhoi Bighnaraj Naik Rajat Kumar Sahu Etuari Oram

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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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Implication

Analysis shows improved anomaly prediction in industrial IoT, suggesting enhanced efficiency for systems.

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Cite This Study

Bhoi et al. (2026) studied this question.

synapsesocial.com/papers/69a75bc3c6e9836116a23b27 https://doi.org/10.1007/s40031-026-01287-8

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