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Titlebook: 15th International Conference on Soft Computing Models in Industrial and Environmental Applications ; Álvaro Herrero,Carlos Cambra,Emilio

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楼主: 灰尘
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K. van Ackern,W. Schwarz,J.-P. Striebelintrinsic diversity in the population. The impact of the recombination operators is analyzed and compared, turning out that BLX operators yields the best results and uniform and arithmetic crossover the worst. With respect to specificity, the uniform crossover and two point crossover have the lowest standard deviation of the results.
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Geschichte der deutschen Kinderkardiologiele to detect four typical activities (walking, standing still, going up stairs and going down stairs). In order to design the classifier, data from a group of 13 volunteers is used and different network architectures are evaluated in order to consider the most computationally efficient design, obtaining a success rate of 95%.
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Geschichte der Herz- und Kreislaufpathologiethe original image. Results clearly report this approach with U-Net used as encoder-decoder scheme with the locator based on local peaks as the more accurately performing detection technique, in comparison to YOLO architectures.
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Die Entwicklung der Fachzeitschriftenle the story develops. The main objective of this paper is to describe an approach to interpret a textual description of a map written in natural language and extract the main features and elements characterizing that map in order to produce a visual representation of the information provided by a user.
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Herz-Kreislauf-Gesellschaft in der DDR proposes a two-step forecasting approach to obtain future values, eight hours ahead, of AQI using Machine Learning methods. ANN, SVR and LSTM are capable of modelling non-linear time series and can be trained to accurately generalize when a new database is presented.
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