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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems

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How AI Impacts Urban Living and Public Health - 17th International Conference, ICOST 2019, New York City, NY, USA, October 14-16, 2019, Proceedings (Paperback, 1st ed. 2019) Loot Price: R1,589
Discovery Miles 15 890
How AI Impacts Urban Living and Public Health - 17th International Conference, ICOST 2019, New York City, NY, USA, October...

How AI Impacts Urban Living and Public Health - 17th International Conference, ICOST 2019, New York City, NY, USA, October 14-16, 2019, Proceedings (Paperback, 1st ed. 2019)

Jose Pagan, Mounir Mokhtari, Hamdi Aloulou, Bessam Abdulrazak, Maria Fernanda Cabrera

Series: Information Systems and Applications, incl. Internet/Web, and HCI, 11862

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Loot Price R1,589 Discovery Miles 15 890 | Repayment Terms: R149 pm x 12*

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This open access book constitutes the refereed proceedings of the 17th International Conference on String Processing and Information Retrieval, ICOST 2019, held in New York City, NY, USA, in October 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 24 submissions. They cover topics such as: e-health technology design; well-being technology; biomedical and health informatics; and smart environment technology.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Information Systems and Applications, incl. Internet/Web, and HCI, 11862
Release date: October 2019
First published: 2019
Editors: Jose Pagan • Mounir Mokhtari • Hamdi Aloulou • Bessam Abdulrazak • Maria Fernanda Cabrera
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 224
Edition: 1st ed. 2019
ISBN-13: 978-3-03-032784-2
Categories: Books > Computing & IT > Internet > Network computers
Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
LSN: 3-03-032784-1
Barcode: 9783030327842

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