A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa)
https://orcid.org/0000-0003-1554-8821
A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa)
https://orcid.org/0000-0003-1554-8821
A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa)
https://orcid.org/0000-0003-1554-8821
A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa)
Environment International
Qin, Li-Tang (author) / Tian, Xue-Fang (author) / Zhang, Jun-Yao (author) / Liang, Yan-Peng (author) / Zeng, Hong-Hu (author) / Mo, Ling-Yun (author)
Environment International ; 194 ; 109162
2024-12-01
Article (Journal)
Electronic Resource
English
Machine learning-driven QSAR models for predicting the mixture toxicity of nanoparticles
| DOAJ | 2023
Bio-Flocculation Property Analyses of Oleaginous Microalgae Auxenochlorella protothecoides UTEX 2341
| DOAJ | 2021