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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) (Paperback, 1st ed. 2021) Loot Price: R6,265
Discovery Miles 62 650
Trends in Data Engineering Methods for Intelligent Systems - Proceedings of the International Conference on Artificial...

Trends in Data Engineering Methods for Intelligent Systems - Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020) (Paperback, 1st ed. 2021)

Jude Hemanth, Tuncay Yigit, Bogdan Patrut, Anastassia Angelopoulou

Series: Lecture Notes on Data Engineering and Communications Technologies, 76

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Loot Price R6,265 Discovery Miles 62 650 | Repayment Terms: R587 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes on Data Engineering and Communications Technologies, 76
Release date: July 2021
First published: 2021
Editors: Jude Hemanth • Tuncay Yigit • Bogdan Patrut • Anastassia Angelopoulou
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 773
Edition: 1st ed. 2021
ISBN-13: 978-3-03-079356-2
Categories: Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-03-079356-7
Barcode: 9783030793562

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