Interpretable Causal Models for Cascading Failures in Distributed Manufacturing Networks
Federated Causal Reasoning for Dynamic Systems with Interdependent Clients
Learning Unknown Interdependencies in Distributed Manufacturing
Federated Granger Causality Learning For Interdependent Clients With State Space Representation
Federated Anomaly Detection in Vertically Partitioned Datasets
A Two-Stage Prognostics Framework for Guide Bearing Failures in Hydropower Operations
Condition-based Task Scheduling for Self-Aware Robotic Manipulators
Operational Self-Awareness of Robotic Manipulators Performing Tasks with Time-Varying Severity Levels
Operational Self-Awareness of Robotic Manipulators Performing Tasks with Dynamic Severity Levels
A Diagnostics Model for Detecting Leak Severity in a Regenerable CO₂ Removal System
Improvement of Crow Search and Bat Algorithms Using Two Novel Mutation Operators
A Novel Approach for Optimal Speed Control of the Vehicle Using Drive Envelope Based Analysis