Editors:
- Includes the latest research on soft computing models in industrial and environmental applications, computational intelligence in security for information systems and European transnational education
- Includes the scientific outcomes of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications held in Burgos, Spain, September 16th–18th, 2020
- Presents new applications of computational intelligence and soft computing
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1268)
Conference series link(s): SOCO: International Workshop on Soft Computing Models in Industrial and Environmental Applications
Conference proceedings info: SOCO 2020.
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Table of contents (83 papers)
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Front Matter
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Soft Computing Applications
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Front Matter
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Evolutionary Computation
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Front Matter
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Artificial Neural Networks
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Front Matter
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Other Volumes
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15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)
About this book
This book contains accepted papers presented at SOCO 2020 conference held in the beautiful and historic city of Burgos (Spain), in September 2020.
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 through peer-review process, the SOCO 2020 International Program Committee selected 83 papers which are published in these conference proceedings and represents an acceptance rate of 35%. Due to the COVID-19 outbreak, the SOCO 2020 edition was blended, combining on-site and on-line participation. In this relevant edition a special emphasis was put on the organization of special sessions. Eleven special session were organized related to relevant topics such as: Soft Computing Applications in Precision Agriculture, Manufacturing and Management Systems, Management of Industrial and Environmental Enterprises, Logistics and Transportation Systems, Robotics and Autonomous Vehicles, Computer Vision, Laser-Based Sensing and Measurement and other topics such as Forecasting Industrial Time Series, IoT, Big Data and Cyber Physical Systems, Non-linear Dynamical Systems and Fluid Dynamics, Modeling and Control systems The selection of papers was extremely rigorous in order to maintain the high quality of SOCO conference editions and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the SOCO conference would not exist without their help.Editors and Affiliations
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Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Burgos, Spain
Álvaro Herrero, Carlos Cambra, Daniel Urda
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Technological Institute of Castilla y León, Burgos, Spain
Javier Sedano
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Department of Industrial Engineering, University of A Coruña, La Coruña, Spain
Héctor Quintián
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University of Salamanca, Salamanca, Spain
Emilio Corchado
Bibliographic Information
Book Title: 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)
Editors: Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-030-57802-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-57801-5Published: 29 August 2020
eBook ISBN: 978-3-030-57802-2Published: 28 August 2020
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXVII, 876
Number of Illustrations: 104 b/w illustrations, 267 illustrations in colour
Topics: Computational Intelligence, Industrial and Production Engineering