Deep Learning for Cargo Theft Detection
Quelle: https://www.mdpi.com/1424-8220/21/3/753
Deep Learning for Cargo Theft Detection refers to the application of multi-layer artificial neural networks to automatically analyze sensor data (e.g. video surveillance, GPS tracking, IoT readings) with the aim of identifying anomalies or suspicious patterns indicative of theft or unauthorized intrusion in logistics and supply chain operations.
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