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ETLNet: An Efficient TCN-BiLSTM Network for Road Anomaly Detection Using Smartphone Sensors

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Ansari, Mohd Faiz, Sandilya, Rakshit, Javed, Mohammed, Doermann, David
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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