Abstract: The dissertation aims to resolve the precise identification challenge of real-time sensor network anomalies which face scalability issues because of their multifaceted sensor data patterns.
Abstract: In industrial soft-sensor modeling, the scarcity and imbalance of process data often lead to overfitting and poor generalization of predictive models. To address these challenges, this ...
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