Titlebook: 14th International Conference on Soft Computing Models in Industrial and Environmental Applications ; Seville, Spain, May Francisco Martín

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書目名稱14th International Conference on Soft Computing Models in Industrial and Environmental Applications 影響因子(影響力)學(xué)科排名




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書目名稱14th International Conference on Soft Computing Models in Industrial and Environmental Applications 網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱14th International Conference on Soft Computing Models in Industrial and Environmental Applications 被引頻次




書目名稱14th International Conference on Soft Computing Models in Industrial and Environmental Applications 被引頻次學(xué)科排名




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書目名稱14th International Conference on Soft Computing Models in Industrial and Environmental Applications 年度引用學(xué)科排名




書目名稱14th International Conference on Soft Computing Models in Industrial and Environmental Applications 讀者反饋




書目名稱14th International Conference on Soft Computing Models in Industrial and Environmental Applications 讀者反饋學(xué)科排名

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https://doi.org/10.1007/978-3-476-04272-9he number of clusters beforehand. However, due to the size of the data currently used, predicting that value is at a high computational cost task in most cases. In this article, we present a clustering technique that avoids this requirement, using hierarchical clustering. There are many examples of

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,R?uber, Schwindler, Menschenfresser,s an important role in measuring the lifetime, which is one of the tasks in PHM because the effect on the lifetime depends on the operations performed by the excavator. Several researchers have struggled with classifying the operations with either sensor or video data, but most of them have difficul

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"...wortlos der Sprache m?chtig"ively researched in recent literature, specially due to the benefits of improving quality of life. Since wearable technologies and smartphones have become more ubiquitous, a large amount of information about a person’s life has become available. However, since each person has a unique way of perform

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https://doi.org/10.1007/978-3-476-04308-5rmat. In this paper, an unsupervised method for extractive multi-document summarization is presented. This method combines the use of a semantic graph for representing textual contents and identify the most relevant topics with the processing of several sentences features applying a fuzzy logic pers

expdient

https://doi.org/10.1007/978-3-476-04308-5 the data collected while the vehicle is being operated. By means of the proposed model, the state of health of the energy storage system can be estimated on-vehicle. The fuzzy model is derived through distal learning and describes the instantaneous slope of the stored charge with respect to the bat

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Komponierte Weiblichkeit im ,: Kundryo this, our proposal merges statistical dialog management methodologies, intentional and emotional information in order to make dialog managers more efficient and adaptive. The prediction of the user intention and emotion is carried out for each user turn in the dialog by means of specific modules t