Deep Learning: How we can improve, How we can use?

We started a mega-project on how we can improve the performance of Deep Learning, in the case of modifying its ability for features selection and for classification. Also we started to find a wide-range of applications which can be solved by Deep Learning.  We focus on some applications in intelligent transportation systems and smart city for more examination. To see some of our outputs, one can refer to the following papers:

* Convolutional Neural Network with Adaptive Regularization to Classify Driving Styles on Smartphones,
Mohammad Mahdi Bejani, Mehdi Ghatee,
IEEE Transactions on Intelligent Transportation Systems, Volume: 21, Issue: 2, Feb. 2020,
DOI: 10.1109/TITS.2019.2896672
Convolution Neural Network Joint with Mixture of Extreme Learning Machines for Feature Extraction and Classification of Accident Images,
Ali Pashaei, Mehdi Ghatee, Hedieh Sajedi,
Journal of Real-Time Image Processing, 17(4), 1051-1066 – February 2019.

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