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Trends In Data Engineering Methods For Intelligent Systems Proceedings Of The International Conference On Artificial Intelligence And Applied Mathematics In Engineering Icaiame 2020 Jude Hemanth

  • SKU: BELL-33405306
Trends In Data Engineering Methods For Intelligent Systems Proceedings Of The International Conference On Artificial Intelligence And Applied Mathematics In Engineering Icaiame 2020 Jude Hemanth
$ 31.00 $ 45.00 (-31%)

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Trends In Data Engineering Methods For Intelligent Systems Proceedings Of The International Conference On Artificial Intelligence And Applied Mathematics In Engineering Icaiame 2020 Jude Hemanth instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 76.44 MB
Pages: 799
Author: Jude Hemanth, Tuncay Yigit, Bogdan Patrut, Anastassia Angelopoulou
ISBN: 9783030793562, 3030793567
Language: English
Year: 2021

Product desciption

Trends In Data Engineering Methods For Intelligent Systems Proceedings Of The International Conference On Artificial Intelligence And Applied Mathematics In Engineering Icaiame 2020 Jude Hemanth by Jude Hemanth, Tuncay Yigit, Bogdan Patrut, Anastassia Angelopoulou 9783030793562, 3030793567 instant download after payment.

This book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. Nowadays, the world is under attack of intelligent systems covering all fields to make them practical and meaningful for humans. In this sense, this edited book provides the most recent research on use of engineering capabilities for developing intelligent systems. The chapters are a collection from the works presented at the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering held within 09-10-11 October 2020 at the Antalya, Manavgat (Turkey). The target audience of the book covers scientists, experts, M.Sc. and Ph.D. students, post-docs, and anyone interested in intelligent systems and their usage in different problem domains. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics.

 

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