Smart Applications with Advanced Machine Learning and Human-Centred Problem Design - D. Jude Hemanth, Utku Kose, Junzo Watada, Bogdan Patrut

Smart Applications with Advanced Machine Learning and Human-Centred Problem Design

Buch | Hardcover
XLI, 790 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-09752-2 (ISBN)
213,99 inkl. MwSt
This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.
Erscheinungsdatum
Reihe/Serie Engineering Cyber-Physical Systems and Critical Infrastructures
Zusatzinfo XLI, 790 p. 351 illus., 287 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1540 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Applied mathematics • Artificial Intelligence • Computational Intelligence • Computer Science • conference proceedings • Control Computing • Data processing • Deep learning • Engineering • Human-centred Design • Informatics • Intelligent Systems • machine learning • numerical solutions • Optimization • Robotics • smart applications • Soft Computing
ISBN-10 3-031-09752-1 / 3031097521
ISBN-13 978-3-031-09752-2 / 9783031097522
Zustand Neuware
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