Exploiting Multitask Deep Learning to Identify Multiple Heavy Metal Contamination at Large Scales

Soil contamination by heavy metals (HMs), which typically exist as coupled contamination that presents complex interactions, poses significant risks to crop safety and human health. However, the chemical interactions among multiple HMs have not been adequately considered when performing large‐scale...

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Bibliografske podrobnosti

Principais autores:	Tao Hu, Qiusong Chen, Fiona H. M. Tang, Sybil Derrible, Liyuan Chai, Zhang Lin, Chongchong Qi
Format:	Artigo
Jezik:	Inglês
Izdano:	Wiley 2025-12-01
Serija:	Advanced Intelligent Systems
Teme:	environmental risk management heavy metals multitask deep learning soil contamination source apportionment
Online dostop:	https://doi.org/10.1002/aisy.202500469
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