Detection of anomalies in cycling behavior with convolutional neural network and deep learning.

Shumayla YaqoobSalvatore CafisoGiacomo MorabitoGiuseppina Pappalardo

Published in: European transport research review (2023)

The research results support the notion that proper GPS trajectory data and deep learning classification can be applied to identify anomalies in cycling behavior.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
high intensity
machine learning
big data
electronic health record
loop mediated isothermal amplification
label free