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This research article presents a vehicle condition diagnosis system utilizing IoT and Artificial Neural Networks (ANN) to enhance vehicle management efficiency. The study compares two training methodologies—weight detection and learning rate adjustment—to optimize the ANN model for accurate vehicle status classification. The proposed system aims to improve real-time monitoring and management of vehicle operations, ultimately enhancing safety and reducing operational costs.

Author

nhuncq0409

Language

EN