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Gabriel Dario Caffaratti, Martín Gonzalo Marchetta, Raymundo Quilez Forradellas
Pág. 16 - 38
Visual depth recognition through Stereo Matching is an active field of research due to the numerous applications in robotics, autonomous driving, user interfaces, etc. Multiple techniques have been developed in the last two decades to achieve accurate di...
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Sanjiv R. Das, Karthik Mokashi and Robbie Culkin
We examine the use of deep learning (neural networks) to predict the movement of the S&P 500 Index using past returns of all the stocks in the index. Our analysis finds that the future direction of the S&P 500 index can be weakly predicted by the...
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Sowjanya Dhulipala, Ashu S. Kedia, P.S. Salini, B.K. Katti
Pág. 3203 - 3219
The study presents the route choice behaviour among three alternative routes for a set of origin and destination points of Surat, a metropolitan city of India. Travel time, traffic congestion level and environmental effects along the routes are considere...
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Konrad Bogner, Katharina Liechti, Massimiliano Zappa
Pág. 1 - 20
Post-processing has received much attention during the last couple of years within the hydrological community, and many different methods have been developed and tested, especially in the field of flood forecasting. Apart from the different meanings of t...
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Arriaza, J. A. T. Rojas, F. G. Lopez, M. P. Canton, M.
Pág. 826 - 831
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