An Intelligent Evaluation System for Predicting Engine Driver Reliability

Author:

Sidorenko V. G.,Kulagin M. A.

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering

Reference6 articles.

1. Sidorenko, V.G. and Kulagin, M.A., Qualification of locomotive drivers as a factor to improve the reliability of electric rolling stock, Nauka Tekh. Transp., 2018, no. 4.

2. Sidorenko, V.G. and Kulagin, M.A., Transport workers activities analysis using an artificial neural network, Proc. Third Int. Sci. Conf. “Intelligent Information Technologies for Industry” (IITI’18), New York: Springer-Verlag, 2018, vol. 2.

3. Kulagin, M.A. and Sidorenko, V.G., An approach to the formation of the rating of a locomotive driver’s work using various comparison metrics, Elektron. Elektrooborud. Transp., 2018, no. 1.

4. Gapanovich, V.A., Zamyshlyaev, A.M., and Shubinsky, I.B., Some issues of resource and risk management on railway transport based on the condition of operational dependability and safety of facilities and processes (URRAN project), Dependability, 2011, vol. 1.

5. Wei, J., et al., Collaborative filtering and deep learning based recommendation system for cold start items, Expert Syst. Appl., 2017, vol. 69.

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