Iterative Weighted-Voting Approach for Adaptive Time-Series Anomaly Correction in Federated AGV Systems

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Iterative Weighted-Voting Approach for Adaptive Time-Series Anomaly Correction in Federated AGV Systems
Συγγραφείς: Pavliuk, Olena, Mishchuk, Myroslav
Πηγή: 2025 IEEE International Conference on Big Data (BigData) Big Data (BigData), 2025 IEEE International Conference on. :4028-4035 Dec, 2025
Relation: 2025 IEEE International Conference on Big Data (BigData)
Βάση Δεδομένων: IEEE Xplore Digital Library