Titlebook: Advances in Integrations of Intelligent Methods; Post-workshop volume Ioannis Hatzilygeroudis,Isidoros Perikos,Foteini G Book 2020 Springer

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https://doi.org/10.1007/3-540-44730-X we compared a Deep Neural Network, and specifically, a network with LSTM layers, a Gradient Boosting Regression model and an XGBoost model. According to our results, the Deep Neural Network performed better, with a significant root mean square error of 0.999% on test data.

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https://doi.org/10.1007/978-981-15-1918-5Combination of Intelligent Methods; Hybrid-intelligent Systems; Integrated-intelligent Systems; Hybrid-

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978-981-15-1920-8Springer Nature Singapore Pte Ltd. 2020

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Lecture Notes in Physics Monographsllected data streams are guided to the cloud for further processing and the production of analytics. However, any processing in the cloud, even if it is supported by improved computational resources, suffers from an increased latency. The data should travel to the cloud infrastructure as well as the

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J.B. Ward-Perkins and the Marble Committeerocessing for natural hair removal and image segmentation for extraction of the skin lesion area followed by computation of statistical values of colors as features. The color-based features were extracted from several well-known and widely used color models. Several classification algorithms were e

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