Multilevel Monitoring System for Road Networks: Anomaly Detection at the Network and Road-Segment Levels

Author:

Behrooz Hojat1,Ilbeigi Mohammad2ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Civil, Environmental, and Ocean Engineering (CEOE), Stevens Institute of Technology, Hoboken, NJ 07030.

2. Assistant Professor, Dept. of Civil, Environmental, and Ocean Engineering (CEOE), Stevens Institute of Technology, Hoboken, NJ 07030 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Reference43 articles.

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2. Gradient amplification: An efficient way to train deep neural networks;Basodi S.;Big Data Min. Anal.,2020

3. Miles of traffic as Texans heed order to leave;Blumenthal R.;N.Y. Times,2005

4. An approach to the probability distribution of cusum run length;Brook D.;Biometrika,1972

5. Brownlee, J. 2017. Long short-term memory networks with python: Develop sequence prediction models with deep learning. Melbourne, VIC, Australia: Machine Learning Mastery.

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