Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities Designing for Sustainability
This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities. Special features include: New research on the design...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2022, 2022
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| Edition: | 1st ed. 2022 |
| Series: | Springer Optimization and Its Applications
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Cities as Convergent Autopoietic Systems (V. Dobrev)
- Digital ‘Vitalism’ and its ‘Epistemic’ Predecessors: ‘Smart’ Neoteric History and Contemporary Approaches (Moraitis)
- Unbuildable Cities (Th. Rassia)
- Smart Cities as Identities (Tsoniotis)
- A Cross-domain Landscape of ICT Services in Smart Cities (Bunhova)
- A Novel Data Representation Method for Smart Cities’ Big Data (N. Nagy)
- A Pedestrian Level Strategy to Minimize Outdoor Sunlight Exposure (X. Li)
- Planning and Management of Charging Facilities for Electric Vehicle Sharing (W. Qi)
- A Reactive Architectural Proposal for Fog/edge Computing in the Internet of Things Paradigm with Application in Deep Learning (Belmonte-Fernandez)
- Urban Big Data: City Management and Real Estate Markets (Saiz)
- Social Media-based Intelligence for Disaster Response and Management in Smart Cities (Khatoon)