Demographics as Determinants of Building Occupants' Indoor Environmental Perceptions: Insights from a Machine Learning Incremental Modeling and Analysis Approach

IF 4.7 2区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Computing in Civil Engineering Pub Date : 2022-07-01 DOI:10.1061/(asce)cp.1943-5487.0001028

Abdulrahim Ali, Min-Der Lin, Maedot S. Andargie, Elie Azar

引用次数: 3

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人口统计数据是建筑居住者室内环境感知的决定因素:来自机器学习增量建模和分析方法的见解

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computing in Civil Engineering 工程技术-工程：土木

CiteScore

11.90

自引率

7.20%

发文量

审稿时长

6 months

期刊介绍： The Journal of Computing in Civil Engineering serves as a resource to researchers, practitioners, and students on advances and innovative ideas in computing as applicable to the engineering profession. Many such ideas emerge from recent developments in computer science, information science, computer engineering, knowledge engineering, and other technical fields. Some examples are innovations in artificial intelligence, parallel processing, distributed computing, graphics and imaging, and information technology. The journal publishes research, implementation, and applications in cross-disciplinary areas including software, such as new programming languages, database-management systems, computer-aided design systems, and expert systems; hardware for robotics, bar coding, remote sensing, data mining, and knowledge acquisition; and strategic issues such as the management of computing resources, implementation strategies, and organizational impacts.