Titlebook: Deep Learning: Algorithms and Applications; Witold Pedrycz,Shyi-Ming Chen Book 2020 Springer Nature Switzerland AG 2020 Computational Inte

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Deep Learning Application: Load Forecasting in Big Data of Smart Grids,es remain for accurate load forecasting using big data or large-scale datasets. This chapter addresses the problem of how to improve the forecasting results of loads in smart grids, using deep learning methods that have shown significant progress in various disciplines in recent years. The deep lear

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Traffic Light and Vehicle Signal Recognition with High Dynamic Range Imaging and Deep Learning, making this possible because it can leverage the huge amount of training data that comes from autonomous car sensors. Automatic recognition of traffic light and vehicle signal is a perception module critical to autonomous vehicles because a deadly car accident could happen if a vehicle fails to fol

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The Application of Deep Learning in Marine Sciences,as are utilised to access underwater environments. Up till now image data has been processed by human observers which is costly and often represents repetitive mundane work. Deep learning techniques that can automatically classify objects can increase the speed and the amounts of data that can be pr