Machine-learning-facilitated prediction of heavy metal contamination in distiller's dried grains with solubles-Reference-Cited by-同舟云学术

Machine-learning-facilitated prediction of heavy metal contamination in distiller's dried grains with solubles

Published:2023-09 Issue: Volume:333 Page:122043
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Feng Lei,Chen Sishi,Chu Hangjian,Zhang Chu,Hong Zhiqi,He Yong,Wang Mengcen,Liu Yufei

Funder

National Key Research and Development Program of China

International Science and Technology Cooperation Programme

National Natural Science Foundation of China

Zhejiang University

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference62 articles.

1. Impacts of Heavy Metal Feed Contaminants in Cattle Farming, Indo Australian Workshop Transfer of Mitigastion Technologies for Heat Stress in Farm Animals;Alam,2020

2. Phytoremediation of heavy metals-Concepts and applications;Ali;Chemosphere,2013

3. Support vector machine regression (SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data;Balabin;Analyst,2011

4. Sources of variation in composition of DDGS;Belyea;Anim. Feed Sci. Technol.,2010

5. Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction;Bruce;IEEE Trans. Geosci. Rem. Sens.,2002

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