Titlebook: Advances in Machine Learning/Deep Learning-based Technologies; Selected Papers in H George A. Tsihrintzis,Maria Virvou,Lakhmi C. Jain Book

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A Representative Energy Efficiency Project,e plots (RP) are a phase space visualization tool used for the analysis of dynamical systems. This approach takes advantage of recurrence plots that are used as input image representations for a class of deep learning algorithms called convolutional neural networks. We show that by leveraging recurr

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Debashis Bhattacharya,Vamsi Boppanassion ratio while maintaining the same video quality. One of the advanced techniques that HEVC adopts is dividing the input signal into Coding Units (CU) with various sizes, which ensures bitrate reduction while preserving visual details. The process that determines the size of CU is known as the Co

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https://doi.org/10.1007/978-3-030-76794-5Computational Intelligence; Machine Learning; Deep Learning; Intelligent Systems; Nikolaos G; Bourbakis

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978-3-030-76796-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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A Representative Energy Efficiency Project,re used as input image representations for a class of deep learning algorithms called convolutional neural networks. We show that by leveraging recurrence plots with optimal embedding parameters, appropriate representations of underlying dynamics are obtained by the proposed autoregressive deep learning model to produce forecasts.

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Book 2022its sub-field of .Deep Learning.) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machi