03000nam a22005175i 4500 978-3-031-60840-7 DE-He213 20251030112101.0 cr nn 008mamaa 240527s2024 sz | s |||| 0|eng d 9783031608407 978-3-031-60840-7 10.1007/978-3-031-60840-7 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering [electronic resource] : The Second Serbian International Conference on Applied Artificial Intelligence (SICAAI) / edited by Nenad Filipović. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. VII, 250 p. 90 illus., 74 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 999 The book Applied Artificial Intelligence 2: Medicine, Biology, Chemistry, Financial, Games, Engineering is providing exceptional chapters of the state-of-the-art research knowledge and results on the innovative theories, methodology and applications of artificial intelligence and its sub-domain like deep learning, machine learning in different areas such as medicine, economy, education, law, smart city, government, industry etc. Innovative research ideas on how to solve problems using artificial intelligence, both in R&D and real-time applications are presented. Chapters describe the advanced prototypes, systems, methodologies, tools and techniques and general survey papers, which indicate future directions. These Chapters are extended papers from the Second Serbian International Conference on Applied Artificial Intelligence (SICAAI), which was held in Kragujevac, Serbia, on May 19-20, 2023. Computational intelligence. 64052 Artificial intelligence. 58441 Machine learning. 55059 Computational Intelligence. 64052 Artificial Intelligence. 58441 Machine Learning. 55059 Filipović, Nenad. editor. edt http://id.loc.gov/vocabulary/relators/edt 70252 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031608391 Printed edition: 9783031608414 Lecture Notes in Networks and Systems, 2367-3389 ; 999 https://doi.org/10.1007/978-3-031-60840-7 ZDB-2-INR ZDB-2-SXIT 60175 60175