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商品詳細
GeoAI & IoT Foundations: Models, Architectures, and Platforms for Urban-Scale Intelligence.
・ISBN 978-3-032-31207-5 hard EUR 199.99
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★★★
| 著者・編者 | Yadava, Ram Narayan / Ujang, Uznir (eds.), |
|---|---|
| シリーズ | (Advances in Geographic Information Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 354 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-76368＞ |
解説
The contributed volume assembles GeoAI, IoT, and urban digital twins into a practical playbook spanning five areas: urban climate intelligence; infrastructure monitoring; energy and buildings; emissions and bio-monitoring; and intelligent mobility. Chapters demonstrate how 3D city models and GeoAI inform heat-resilient design, and how UAV and aerial vision paired with scalable deep learning support structural, pipeline, and railway surveillance. Edge-ready systems show how sensing connects to analytics for operational use. Other contributions address kinetic facade optimization, solar-farm reliability, and communication of industrial hazards. Bottom-up methods estimate CO? from buildings and transport, while geospatial platforms track air quality and ecological indicators. The final section integrates acoustic and visual data for traffic and emergency detection alongside autonomous construction and heavy-vehicle monitoring. The book prioritizes reproducible workflows, rigorous evaluation, and clear governance pathways that cities, utilities, and environmental authorities can scale to improve resilience, cut emissions, and deliver safer urban services.