Advances in Computer Science for Engineering and Manufacturing

The book focuses on the latest advances in artificial intelligence systems and their applications in engineering and manufacturing. It emphasizes the need for training specialists to increase the effectiveness of creating and diagnosing technical solutions. The papers cover a range of topics, including mathematics, computer algorithms, analysis of technical solutions, and technological advancements. The book is a valuable resource for asset management practitioners, researchers, academics, and students interested in artificial intelligence systems.

Format: Paperback / softback
Length: 388 pages
Publication date: 16 April 2022
Publisher: Springer International Publishing AG

The scope of this book encompasses the latest advancements in the development of artificial intelligence systems and their applications in engineering and manufacturing. Comprising refereed papers presented at the International Symposium on Engineering and Manufacturing (ISEM2021), held in Kyiv, Ukraine, on December 24-26, 2021, the book emphasizes the urgent need for intensifying the training of a growing number of relevant specialists, particularly in engineering and manufacturing, to enhance the effectiveness of creating and diagnosing appropriate technical solutions. In the realm of digital artificial intelligence systems, scientists strive to replicate the innate intellectual abilities of humans and other organisms. In-depth studies of biological and self-organizing systems offer valuable insights for developing more efficient artificial intelligence methods. The topics covered in the included papers encompass a wide range of subjects relevant to business managers and engineering professionals, including mathematics and computer algorithms, analysis of technical solutions, and technological advancements.

This book serves as a comprehensive compilation of state-of-the-art papers in the field, covering a diverse array of subjects that are of interest to both business managers and engineering professionals. The breadth and depth of these proceedings make them an invaluable resource for asset management practitioners, researchers, academics, as well as undergraduate and postgraduate students who are passionate about artificial intelligence systems and their rapidly expanding applications. The target audience for this book includes specialists, students, and other groups of individuals who are eager to explore the future applications of artificial intelligence systems.

Weight: 611g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031038761
Edition number: 1st ed. 2022