• Medientyp: E-Book
  • Titel: 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) : Salamanca, Spain, September 5–7, 2023, Proceedings, Volume 1
  • Beteiligte: García Bringas, Pablo [HerausgeberIn]; Pérez García, Hilde [HerausgeberIn]; Martínez de Pisón, Francisco Javier [HerausgeberIn]; Martínez Álvarez, Francisco [HerausgeberIn]; Troncoso Lora, Alicia [HerausgeberIn]; Herrero, Álvaro [HerausgeberIn]; Calvo Rolle, José Luis [HerausgeberIn]; Quintián, Héctor [HerausgeberIn]; Corchado, Emilio [HerausgeberIn]
  • Erschienen: Cham: Springer Nature Switzerland, 2023.
    Cham: Imprint: Springer, 2023.
  • Erschienen in: Lecture Notes in Networks and Systems ; 749
  • Ausgabe: 1st ed. 2023.
  • Umfang: 1 Online-Ressource(XVIII, 292 p. 103 illus., 83 illus. in color.)
  • Sprache: Englisch
  • DOI: 10.1007/978-3-031-42529-5
  • ISBN: 9783031425295
  • Identifikator:
  • Schlagwörter: Computational intelligence. ; Industrial engineering. ; Production engineering.
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: This book of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2023 conference held in the beautiful and historic city of Salamanca (Spain) in September 2023. 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 18th SOCO 2023 International Program Committee selected 61 papers which are published in these conference proceedings and represents 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: Time Series Forecasting in Industrial and Environmental Applications, Technological Foundations and Advanced Applications of Drone Systems, Soft Computing Methods in Manufacturing and Management Systems, Efficiency and Explainability in Machine Learning and Soft Computing, Machine Learning and Computer Vision in Industry 4.0, Genetic and Evolutionary Computation in Real World and Industry, and Soft Computing and Hard Computing for a Data Science Process Model. 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.