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17th International Conferen...
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 thank the members of the program committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.
Monografía
monografia Rebiun34379536 https://catalogo.rebiun.org/rebiun/record/Rebiun34379536 DE-He213 cr nn 008mamaa 231220s2023 sz | s |||| 0|eng d 9783031180507 978-3-031-18050-7 10.1007/978-3-031-18050-7 doi UPVA 998245478803706 UAM 991008282531404211 CBUC 991010871063906709 UCAR 991008412050204213 UR0540068 UR UYQ bicssc TEC009000 bisacsh UYQ thema 006.3 23 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) electronic resource] Salamanca, Spain, September 5â7, 2022, Proceedings edited by Pablo GarcÃa Bringas, Hilde Pérez GarcÃa, Francisco Javier Martinez-de-Pison, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Ãlvaro Herrero, Francisco MartÃnez Ãlvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodriguez. 1st ed. 2023 Cham Springer Nature Switzerland Imprint: Springer 2023. Cham Cham Springer Nature Switzerland Imprint: Springer XXI, 669 p. 253 illus., 208 illus. in color. online resource. XXI, 669 p. 253 illus., 208 illus. in color. Text txt rdacontent] computer c rdamedia] online resource cr rdacarrier] text file PDF rda Lecture Notes in Networks and Systems 2367-3389 531 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 thank the members of the program committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help. Computational intelligence Industrial engineering Production engineering Computational Intelligence Industrial and Production Engineering GarcÃa Bringas, Pablo. editor. edt. http://id.loc.gov/vocabulary/relators/edt Pérez GarcÃa, Hilde. editor. https://orcid.org/0000-0001-7112-1983. edt. http://id.loc.gov/vocabulary/relators/edt Martínez de Pisón, Francisco Javier editor. edt. http://id.loc.gov/vocabulary/relators/edt Villar Flecha, José Ramón. editor. edt. http://id.loc.gov/vocabulary/relators/edt Troncoso Lora, Alicia. editor. https://orcid.org/0000-0002-9801-7999. edt. http://id.loc.gov/vocabulary/relators/edt de la Cal, Enrique A. editor. edt. http://id.loc.gov/vocabulary/relators/edt Herrero, Álvaro editor. edt. http://id.loc.gov/vocabulary/relators/edt MartÃnez Ãlvarez, Francisco. editor. edt. http://id.loc.gov/vocabulary/relators/edt Psaila, Giuseppe. editor. https://orcid.org/0000-0002-9228-560X. edt. http://id.loc.gov/vocabulary/relators/edt Quintián, Héctor. editor. https://orcid.org/0000-0002-0268-7999. edt. http://id.loc.gov/vocabulary/relators/edt Corchado Rodriguez, Emilio S. editor. edt. http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) Springer Nature eBook Springer Nature eBook Printed edition 9783031180491 Printed edition 9783031180514 Lecture Notes in Networks and Systems 2367-3389 531.