Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes: 2nd Edition - Hardcover

Hardcover

ISBN 10: 3725849110 ISBN 13: 9783725849116

Verlag: MDPI AG, 2025

Inhaltsangabe

The aim of this Special Issue is to explore the multifaceted aspects of data-driven intelligent modeling and optimization algorithms for industrial processes. The main goals are to harness the power of data to improve control, decision making, and parameter optimization, and to drive industrial systems to unprecedented levels of efficiency, reliability, and adaptability. Research areas in this Special Issue include digital twin technology, multimodal data recognition, sensor data ingestion and real-time processing, multi-objective path-planning, conditional generative adversarial network, generating job recommendations, comprehensive risk assessment, large language models, self-supervised key-point learning, trustworthy article ranking, engine optimization model, and bioinspired generative design. These powerful and intelligent algorithms use data for control, decision making, and parameter optimization, driving industrial systems to unprecedented levels of efficiency, reliability, and adaptability. By sharing their practice and insights in the development and application of these new technologies, the authors of the articles in this reprint have demonstrated the value of data-driven intelligent modeling and optimization algorithms for industrial processes, providing readers with valuable ideological inspiration in the field.

Details zur Ausgabe

• Verlag: MDPI AG
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 3725849110
• ISBN 13: 9783725849116
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 284
• Herausgeber: Huang Zixin, Du Sheng, Jin Li
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland