ID - 131907024 TI - 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) AU - García Bringas, Pablo AU - Pérez García, Hilde AU - Martinez-de-Pison, Francisco Javier AU - Villar Flecha, José Ramón AU - Troncoso Lora, Alicia AU - de la Cal, Enrique A AU - Herrero, Álvaro AU - Martínez Álvarez, Francisco AU - Psaila, Giuseppe AU - Corchado Rodríguez, Emilio S AU - Quintián, Héctor AU - SpringerLink (Online service) PY - 2023 SN - 9783031180507 9783031180491 9783031180514 PB - Cham Springer Nature Switzerland :Imprint: Springer DB - UniCat KW - Methodology of economics KW - Engineering sciences. Technology KW - Production management KW - Business management KW - Business economics KW - Artificial intelligence. Robotics. Simulation. Graphics KW - neuronale netwerken KW - fuzzy logic KW - cybernetica KW - financieel management KW - productie KW - KI (kunstmatige intelligentie) KW - ingenieurswetenschappen UR - https://www.unicat.be/uniCat?func=search&query=sysid:131907024 AB - 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. ER -