TY  - BOOK
AU  - García Bringas,Pablo
AU  - Pérez García,Hilde
AU  - Martínez de Pisón,Francisco Javier
AU  - Martínez Álvarez,Francisco
AU  - Troncoso Lora,Alicia
AU  - Herrero,Álvaro
AU  - Calvo Rolle,José Luis
AU  - Quintián,Héctor
AU  - Corchado,Emilio
ED  - SpringerLink (Online service)
TI  - 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023): Salamanca, Spain, September 5-7, 2023, Proceedings, Volume 2 
T2  - Lecture Notes in Networks and Systems,
SN  - 9783031425363
AV  - Q342 
U1  - 006.3 23
PY  - 2023///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Computational intelligence
KW  - Industrial engineering
KW  - Production engineering
KW  - Computational Intelligence
KW  - Industrial and Production Engineering
N1  - Acceso multiusuario
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-42536-3
ER  -