Neural-Network-Optimized Vehicle Classification Using Clustered Image and Fiber-Sensor Datasets

Neural-Network-Optimized Vehicle Classification Using Clustered Image and Fiber-Sensor Datasets

Internet of Things (IoT) becomes indispensable for transport and automotive industry to advance functions in on-road traffic monitoring. Indeed, smart management tools and machine learning concepts are inevitable in vehicle categorization systems. However, to date, existing systems for vehicle class...

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Bibliographic Details
Main Authors: Patrik Kamencay, Miroslav Markovic, Jozef Dubovan, Milan Dado, Daniel Benedikovic
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Internet of Things
vehicle classification
convolutional neural networks
close-circuit television
fiber Bragg gratings
Online Access:https://ieeexplore.ieee.org/document/10043690/

Internet

https://ieeexplore.ieee.org/document/10043690/

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