Filipovic | Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering | Buch | 978-3-031-29716-8 | sack.de

Buch, Englisch, 383 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 593 g

Reihe: Lecture Notes in Networks and Systems

Filipovic

Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering


1. Auflage 2023
ISBN: 978-3-031-29716-8
Verlag: Springer International Publishing

Buch, Englisch, 383 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 593 g

Reihe: Lecture Notes in Networks and Systems

ISBN: 978-3-031-29716-8
Verlag: Springer International Publishing


The book is covering knowledge and results in theory, methodology, and applications of artificial intelligence and machine learning in academia and industry. Nowadays, artificial intelligence has been used in every company where intelligence elements are embedded inside sensors, devices, machines, computers and networks. The chapters in this book integrated approach toward global exchange of information on technological advances, scientific innovations, and the effectiveness of various regulatory programs toward AI application in medicine, biology, chemistry, financial, games, law, and engineering. Readers can find AI application in industrial workplace safety, manufacturing systems, medical imaging, biomedical engineering application, different computational paradigm, COVID-19, liver tracking, drug delivery system, and cost-effectiveness analysis. Real examples from academia and industry give beyond state of the art for application of AI and ML in different areas. These chapters are extended papers from the First Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19–20, 2022.

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Weitere Infos & Material


Advances in the use of artificial intelligence and sensor technologies for managing industrial workplace safety.- Implementation of deep learning to prevent peak-driven power outages within manufacturing systems.- Reproductive autonomy conformity assessment of purposed AI system.- The projects evaluation and selection by using MCDM and intuitionistic fuzzy sets.- Cost effectiveness analysis of real and in silico clinical trials for stent deployment based on decision tree.



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