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  • Produktbild: Urban Artificial Intelligence
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Urban Artificial Intelligence A Guidebook for Understanding Concepts and Technologies

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.12.2024

Abbildungen

schwarz-weiss Illustrationen, Raster, schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Verlag

Taylor & Francis

Seitenzahl

430

Maße (L/B/H)

24/16,1/2,8 cm

Gewicht

753 g

Sprache

Englisch

ISBN

978-1-03-286134-0

Beschreibung

Rezension

Urban Artificial Intelligence: A Guidebook for Understanding Concepts and Technologies by Tan Yigitcanlar is a groundbreaking exploration of AI's transformative impact on urban environments. This comprehensive guide is essential for urban planners, policymakers, and researchers, offering deep insights into AI-driven urban planning, sustainability, and infrastructure optimisation. By bridging theoretical concepts with practical applications, Yigitcanlar provides an invaluable roadmap for creating smarter, more sustainable cities. A must-read for anyone committed to shaping the future of urban life.

Juan Manuel Corchado Rodríguez, Professor, Universidad de Salamanca, Spain

Tan Yigitcanlar's Urban Artificial Intelligence: A Guidebook for Understanding Concepts and Technologies is a must-read for anyone invested in the future of urban living in the era of AI. This authoritative work redefines our approach to urban planning by offering actionable insights into the integration of AI to create smarter, more sustainable cities. It is an exceptional book that can captivate and enlighten its readers so profoundly. It bridges the gap between theory and practice, inspiring innovative solutions to the pressing challenges of modern urban environments. Learn from one of the leading voices in the field.

Simon Elias Bibri, Professor, École Polytechnique Fédérale de Lausanne, Switzerland

Urban Artificial Intelligence: A Guidebook for Understanding Concepts and Technologies is an engaging read for anyone interested in how AI can influence us and change the urban world around us. The book builds a comprehensive foundation for understanding AI in urban development and provides incredible insights into various tools and applications of AI, highlighting the extent to which AI is already acting in our cities. This is a thought-provoking book situating AI as an unprecedented opportunity to rethink, reevaluate, and redesign our urban environments.

Eva Kaßens-Noor, Professor, University of Technology Darmstadt, Germany

Urban Artificial Intelligence: A Guidebook for Understanding Concepts and Technologies is a seminal work that thoroughly explores the transformative impact of AI on urban living and management. This first volume of the book series on urban AI delves into AI's practical urban applications and its real-world implementation, offering invaluable insights for city planners, policymakers, researchers and students.

Hoon Han, Professor, University of New South Wales, Australia

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

12.12.2024

Abbildungen

schwarz-weiss Illustrationen, Raster, schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Verlag

Taylor & Francis

Seitenzahl

430

Maße (L/B/H)

24/16,1/2,8 cm

Gewicht

753 g

Sprache

Englisch

ISBN

978-1-03-286134-0

EU-Ansprechpartner

Taylor & Francis Verlag GmbH
Kaufingerstraße 24
80331 München
DE
[email protected]

Herstelleradresse

Taylor & Francis Group
5 Howick Place
SW1P 1WG London
UK
[email protected]

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  • Produktbild: Urban Artificial Intelligence
  • Produktbild: Urban Artificial Intelligence
  • Part 1 Concepts of Urban Artificial Intelligence

    Chapter 1 ¿ Urban Artificial Intelligence

    Chapter 2 ¿ Artificial Intelligence and the City

    Chapter 3 ¿ Artificially Intelligent Cities

    Part 2 Technologies of Urban Artificial Intelligence

    Chapter 4 ¿ Algorithmic Urban Planning Technologies for Sustainable Development

    Chapter 5 ¿ Computer Vision Applications for Effective Urban Planning

    Chapter 6 ¿ Algorithmic Infrastructure Optimisation Applications for Urban Greening

    Chapter 7 ¿ Integrated Machine Learning and Remote Sensing for Urban Sustainability