HIGHLIGHTS
- who: Mahshid Hatamzad and collaborators from the Department of Industrial Engineering, UiT/The Arctic University of Norway, Narvik have published the research work: Using Deep Learning to Predict the Amount of Chemicals Applied on the Wheel Track for Winter Road Maintenance, in the Journal: (JOURNAL)
- what: Due to the large amount of variation in the variables, which makes the model complicated, a deep neural_network/deep learning algorithm was employed to build a data-driven model to accurately predict the amount of chemical (here salt) on the wheel track. In this evaluation research article, the authors . . .
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