Vehicle Intrusion Classification using Deep Learning and Simulated Sensor Networks
This paper presents a development of classification Deep Learning (DL)-based model for simulated vehicles intruding a sensor network. The study proposes a DL architecture that is capable of learning and classifying a set of six different vehicle classes including motorcycles, military SUV, trucks, t...
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2024
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| Online Access: | http://hdl.handle.net/11675/11617 http://www.scopus.com/inward/record.url?scp=85191690961&partnerID=8YFLogxK |
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