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Titlebook: 17th International Conference on Soft Computing Models in Industrial and Environmental Applications ; Salamanca, Spain, Se Pablo García Bri

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期刊全稱(chēng)17th International Conference on Soft Computing Models in Industrial and Environmental Applications
期刊簡(jiǎn)稱(chēng)Salamanca, Spain, Se
影響因子2023Pablo García Bringas,Hilde Pérez García,Emilio S.
視頻videohttp://file.papertrans.cn/101/100369/100369.mp4
發(fā)行地址Presents the latest research on‘Computational Intelligence in Security for Information Systems.Includes recent research on European transnational education.Features new applications of computational i
學(xué)科分類(lèi)Lecture Notes in Networks and Systems
圖書(shū)封面Titlebook: 17th International Conference on Soft Computing Models in Industrial and Environmental Applications ; Salamanca, Spain, Se Pablo García Bri
影響因子.This book contains accepted papers presented at SOCO 2022 conference held in the beautiful and historic city of Salamanca (Spain), in September 2022..Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena..After a thorough peer-review process, the 17th SOCO 2022 International Program Committee selected 64 papers which are published in these conference proceedings and represent an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as machine learning and computer vision in Industry 4.0; time series forecasting in industrial and environmental applications; optimization, modeling, and control by soft computing techniques; soft computing applied to renewable energy systems; preprocessing big data in machine learning; tackling real-world problems with artificial intelligence.. The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to tha
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Anwendung der Differentialrechnung,and 2 m. The inclusion of exogenous variables increased these values to above 0.85 for the same depth levels. The models and methodologies presented in this paper can constitute a very useful tool to help predict eutrophication episodes and act as decision-making tools that allow the governmental an
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https://doi.org/10.1007/978-3-658-35979-9 the original dataset against the randomized one. The results achieved by the models applied to the original dataset are significantly better in terms of Area Under ROC Curve (AUC) and Recall. Therefore, the EMH is refused in its weak form, and indisputable evidence against the RWM in a high-frequen
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CPU Computation Influence on Energy Consumption Forecasting Activities of a Buildingtc., on biomass particle agglomeration, the quality of the densified products, and the overall energy consumption of the process are discussed, as are the various compression models for powders that can be used978-3-030-62890-1978-3-030-62888-8
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Conference proceedings 2023trol by soft computing techniques; soft computing applied to renewable energy systems; preprocessing big data in machine learning; tackling real-world problems with artificial intelligence.. The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to tha
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T cells are instrumental in eliminating cancer cells by secreting various cytokines and activating and recruiting other cell types such as macrophages and granulocytes. However, CD4+ T cell-mediated activation of CD8+ T cells and subsequent cytotoxic activity of the CD8+ T cells represent the major
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