| 期刊全稱 | Artificial Intelligence-Driven Geographies | | 期刊簡稱 | Revolutionizing Urba | | 影響因子2023 | Seyed Navid Mashhadi Moghaddam,Huhua Cao | | 視頻video | http://file.papertrans.cn/168/167609/167609.mp4 | | 發(fā)行地址 | Provides a thorough examination of the latest AI technologies and applications in human geography and urban planning.Bridges the gap between AI and disciplines such as geography, urban planning, and e | | 學(xué)科分類 | City Development: Issues and Best Practices | | 圖書封面 |  | | 影響因子 | .This groundbreaking book delves deep into the history of AI, the major techniques and algorithms of machine learning and deep learning, and the critical role of data sources and processing in these disciplines. It covers a range of AI applications in human geography, including population distribution, land use, environmental risk assessment, and socioeconomic analysis. In urban planning, the book explores AI-driven approaches to smart cities, transportation management, urban growth prediction, and sustainable development, among others...?..As AI continues to permeate every aspect of human life, it is essential to understand and address the ethical considerations and challenges associated with AI-driven planning. This book tackles crucial issues such as data privacy, algorithmic bias, equitable access to technology, and the future of employment in the fields of geography and urban planning. In addition, it presents inspiring case studies, highlighting successful AI applications in human geography and urban planning, and offers insights into future research directions and challenges...?..This book is a must-read for students, researchers, and professionals in geography, urban planni | | Pindex | Book 2024 |
The information of publication is updating
|
|
|Archiver|手機版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-13 13:25
發(fā)表于 2025-3-21 18:30:08
