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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Fang, Bingbing | - |
| dc.contributor.author | Yu, Jiacheng | - |
| dc.contributor.author | Chen, Zhonghao | - |
| dc.date.accessioned | 2023-08-07T04:46:17Z | - |
| dc.date.available | 2023-08-07T04:46:17Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s10311-023-01604-3 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/8716 | - |
| dc.description | CC-BY | vi |
| dc.description.abstract | The rising amount of waste generated worldwide is inducing issues of pollution, waste management, and recycling, calling for new strategies to improve the waste ecosystem, such as the use of artificial intelligence. Here, we review the application of artificial intelligence in waste-to-energy, smart bins, waste-sorting robots, waste generation models, waste monitoring and tracking, plastic pyrolysis, distinguishing fossil and modern materials, logistics, disposal, illegal dumping, resource recovery, smart cities, process efficiency, cost savings, and improving public health. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Artificial intelligence | vi |
| dc.subject | waste-sorting robots | vi |
| dc.title | Artificial intelligence for waste management in smart cities: a review | vi |
| dc.type | Book | vi |
| Appears in Collections | ||
| OER - Khoa học môi trường | ||
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