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Books > Earth & environment > Regional & area planning

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Computer Vision and Audition in Urban Analysis Using the Remorph Framework (Hardcover, 1st ed. 2019) Loot Price: R2,873

Discovery Miles 28 730

Repayment Terms: R269 pm x 12*

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Computer Vision and Audition in Urban Analysis Using the Remorph Framework (Hardcover, 1st ed. 2019): Mohammad Ali Nematollahi,...

Computer Vision and Audition in Urban Analysis Using the Remorph Framework (Hardcover, 1st ed. 2019)

Mohammad Ali Nematollahi, Samaneh Shahbazi, Nashid Nabian

Series: Studies in Systems, Decision and Control, 192

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Loot Price R2,873 Discovery Miles 28 730 | Repayment Terms: R269 pm x 12*

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Artificial Intelligence (AI) is penetrating in all sciences as a multidisciplinary approach. However, adopting the theory of AI including computer vision and computer audition to urban intellectual space, is always difficult for architecture and urban planners. This book overcomes this challenge through a conceptual framework by merging computer vision and audition to urban studies based on a series of workshops called Remorph, conducted by Tehran Urban Innovation Center (TUIC).

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Systems, Decision and Control, 192
Release date:	2019
First published:	2019
Authors:	Mohammad Ali Nematollahi • Samaneh Shahbazi • Nashid Nabian
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	106
Edition:	1st ed. 2019
ISBN-13:	978-981-13-3542-6
Categories:	Books > Earth & environment > Regional & area planning > General Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD) Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	981-13-3542-7
Barcode:	9789811335426