Multimodal Vehicle Classification based on Radar and Acoustic Sensors using Hybrid Shallow CNN

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Multimodal Vehicle Classification based on Radar and Acoustic Sensors using Hybrid Shallow CNN

This study proposed a multimodal vehicle classification approach using a hybrid shallow CNN architecture that integrates radar and acoustic sensor data to overcome the limitations of single-sensor systems. The shallow CNN includes convolutional layers with max-pooling and fully connected layers, emp...

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Bibliographic Details
Published in:	IEEE Symposium on Wireless Technology and Applications, ISWTA
Main Author:	Yazli A.Y.; Mohd Shariff K.K.; Rahman S.A.M.A.J.S.A.; Md Ali M.A.
Format:	Conference paper
Language:	English
Published:	IEEE Computer Society 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203821523&doi=10.1109%2fISWTA62130.2024.10652023&partnerID=40&md5=ee05f2cc9356147085863b5b1b356055

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