Modelling a deep network using CNN and RNN for accident classification

Raviteja Kanakala; Jagan Mohan K; K. Manoz Kumar Reddy

doi:10.1016/j.measen.2023.100794

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JOURNAL ARTICLE

Modelling a deep network using CNN and RNN for accident classification

Raviteja Kanakala Jagan Mohan K K. Manoz Kumar Reddy

Year: 2023 Journal: Measurement Sensors Vol: 27 Pages: 100794-100794 Publisher: Elsevier BV

DOI: 10.1016/j.measen.2023.100794

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Keywords:

Artificial intelligence Convolutional neural network Computer science Deep learning Classifier (UML) Pattern recognition (psychology) Viewpoints Machine learning Artificial neural network Feature (linguistics) Recurrent neural network Sample (material)

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Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Traffic and Road Safety

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

Modelling a deep network using CNN and RNN for accident classification

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