A systematic evaluation of deep learning models for vehicle classification and counting using numerical data

This study provides a comprehensive baseline evaluation of five deep learning models 1D Convolutional Neural Network (1DCNN), Long Short-Term Memory (LSTM), 2D Convolutional Neural Network (2DCNN), Recurrent Neural Network (RNN), and Autoencoder on two distinct dataset types: a synthetic dataset and...

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Bibliographic Details

Main Authors:	Amir, Raza, Johari, Abdullah, Rehman Ullah, Khan, Irwandi, Hipiny, Hamimah, Ujir
Format:	Proceeding
Language:	en
Published:	IEEE 2025
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/51437/3/A%20Systematic%20Evaluation.pdf http://ir.unimas.my/id/eprint/51437/ https://ieeexplore.ieee.org/abstract/document/11330380
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