التفاصيل البيبلوغرافية
| العنوان: |
iEarth: an interdisciplinary framework in the era of big data and AI for sustainable development. |
| المؤلفون: |
Gong, Peng, Guo, Huadong, Chen, Bin, Chen, Fang, He, Guojun, Liang, Dong, Liu, Zhonghui, Sun, Zhongchang, Wu, Jin, Xu, Zhenci, Yan, Dongmei, Zhang, Hongsheng |
| المصدر: |
National Science Review; Aug2023, Vol. 10 Issue 8, p1-3, 3p |
| مصطلحات موضوعية: |
BIG data, SUSTAINABLE development, SCIENTIFIC knowledge, ARTIFICIAL intelligence, INTERDISCIPLINARY approach to knowledge, REINFORCEMENT learning, NATURAL language processing |
| مستخلص: |
I iEarth data. i iEarth data encompasses all Earth system data, including natural systems and human societies, forming the foundation for data-driven analysis and scientific discovery [[2]]. 1), including (i) iEarth data, (ii) iEarth science, (iii) iEarth analytics and (iv) iEarth decision. It is built upon the outcomes from iEarth data, iEarth science and iEarth analytics, to form a data-science-analytics-decision support system for SDGs monitoring, evaluation and response, and to advise spatially and temporally explicit pathways on achieving SDGs. [Extracted from the article] |
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| قاعدة البيانات: |
Complementary Index |
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