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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chen, Lin | - |
| dc.contributor.author | Chen, Zhonghao | - |
| dc.contributor.author | Zhang, Yubing | - |
| dc.date.accessioned | 2023-10-03T02:57:09Z | - |
| dc.date.available | 2023-10-03T02:57:09Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s10311-023-01617-y | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/9408 | - |
| dc.description | CC-BY | vi |
| dc.description.abstract | Climate change is a major threat already causing system damage to urban and natural systems, and inducing global economic losses of over $500 billion. These issues may be partly solved by artificial intelligence because artificial intelligence integrates internet resources to make prompt suggestions based on accurate climate change predictions. Here we review recent research and applications of artificial intelligence in mitigating the adverse effects of climate change, with a focus on energy efficiency, carbon sequestration and storage, weather and renewable energy forecasting, grid management, building design, transportation, precision agriculture, industrial processes, reducing deforestation, and resilient cities. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Artificial intelligence | vi |
| dc.subject | solutions for climate change | vi |
| dc.title | Artificial intelligence-based solutions for climate change: a review | vi |
| dc.type | Book | vi |
| Appears in Collections | ||
| OER - Khoa học môi trường | ||
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