17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) : Salamanca, Spain, September 5-7, 2022, Proceedings / Pablo García Bringas, Hilde Pérez García, Francisco Javier Martinez-de-Pison, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodriguez, editors.
SOCO (Conference) (17th : 2022 : Salamanca, Spain); García Bringas, Pablo, editor.; Pérez García, Hilde, editor.; Martinez-de-Pison, Francisco Javier, editor.; Villar Flecha, José Ramón, editor.; Troncoso Lora, Alicia, editor.; Cal, Enrique Antonio de la, editor.; Herrero, Alvaro, editor.; Martínez-Alvarez, Francisco (Professor of Engineering), editor.; Psaila, Giuseppe, editor.; Quintián, Héctor, editor.; Corchado Rodríguez, Emilio, editor.
2023
QA76.9.S63 S63 2022eb
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Title
17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) : Salamanca, Spain, September 5-7, 2022, Proceedings / Pablo García Bringas, Hilde Pérez García, Francisco Javier Martinez-de-Pison, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodriguez, editors.
Meeting Name
ISBN
9783031180507 (electronic bk.)
303118050X (electronic bk.)
9783031180491
303118050X (electronic bk.)
9783031180491
Published
Cham, Switzerland : Springer, [2023]
Language
English
Description
1 online resource (xxi, 669 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-18050-7 doi
Call Number
QA76.9.S63 S63 2022eb
Dewey Decimal Classification
006.3
Summary
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.
Note
Includes author index.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 19, 2022).
Added Author
García Bringas, Pablo, editor.
Pérez García, Hilde, editor.
Martinez-de-Pison, Francisco Javier, editor.
Villar Flecha, José Ramón, editor.
Troncoso Lora, Alicia, editor.
Cal, Enrique Antonio de la, editor.
Herrero, Alvaro, editor.
Martínez-Alvarez, Francisco (Professor of Engineering), editor.
Psaila, Giuseppe, editor.
Quintián, Héctor, editor.
Corchado Rodríguez, Emilio, editor.
Pérez García, Hilde, editor.
Martinez-de-Pison, Francisco Javier, editor.
Villar Flecha, José Ramón, editor.
Troncoso Lora, Alicia, editor.
Cal, Enrique Antonio de la, editor.
Herrero, Alvaro, editor.
Martínez-Alvarez, Francisco (Professor of Engineering), editor.
Psaila, Giuseppe, editor.
Quintián, Héctor, editor.
Corchado Rodríguez, Emilio, editor.
Series
Lecture notes in networks and systems ; v. 531. 2367-3389
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