Special collections for applying artificial intelligence techniques to encourage economic growth and maintain sustainable societies

被引:1
|
作者
Wu, Nanping [1 ]
Lee, Tsung-Ju [2 ]
Chen, Li-Jiun [2 ]
Kung, Chih-Chun [3 ]
机构
[1] Inst Deep, Inst Deep Sea Sci & Engn, Sanya, Peoples R China
[2] FENG CHIA UNIV, DEPT STAT, Taichung, Taiwan
[3] Shandong Univ, Inst Interdisciplinary Res, Weihai, Peoples R China
基金
中国国家自然科学基金;
关键词
Climate change; model specification; social welfare; sustainability; technology innovation;
D O I
10.1177/00368504231223625
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Efficient resource use requires substantial evaluation and re-evaluation of production processes. Since not all production details can be properly and timely monitored and adjusted, improvement of resource allocation has long been a critical issue in commodity production, technique selection, and sustainable development. The progress of artificial intelligence (AI) offers a possibility. For example, with deep learning techniques and extensive data analysis, most previously unincorporated or unknown information associated with a firm's activities can be appropriately reflected and calculated. Once the firms take the report, a more efficient and economically friendly production strategy could be made. The central theme of this special collection is to invite studies on how the design and application of AI benefit not only the fields of computer science and information engineering but also the interdisciplinary fields, including renewable energy development, environmental protection, and economic analysis. Fourteen papers are published in this special collection.
引用
收藏
页数:7
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