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Sichkar, V.; Kolyubin, S. Effect of various dimension convolutional layer filters on traffic sign classification accuracy.Sci. Tech. J. Inf. Technol. Mech. Opt.2019,19, 546–552. [Google Scholar] [CrossRef] Agarwal, S.; X, C.; Kumar, R. Convolutional Neural Network for Traffic Sign ...
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In: Advances in Applied Self-organizing Systems, pp. 41–50 (2008) Google Scholar Prashanth, L.A., Bhatnagar, S.: Threshold tuning using stochastic optimization for graded signal control. Tech. rep., Stochastic Systems Lab, IISc (2012), http://stochastic.csa.iisc.ernet.in/www/research...
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The entire traffic is predicted by GBRT [11], which is a non-parametric statistical learning tech- nique for regression. GBRT is one of the most effective machine learning models for prediction. It is flexible enough to fit complex nonlinear relationships. The general idea of GBRT is to ...
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