One connector, four scholarly indexes, real DOIs and legal free PDFs. Works in Claude and ChatGPT.
Paste it into Claude or ChatGPT as a custom connector. 3-day free trial.
Shifa Zhong, Kai Zhang, Majid Bagheri, Joel G. Burken, April Z. Gu, Baikun Li, Xingmao Ma, Babetta L. Marrone, Zhiyong Jason Ren, Joshua Schrier and 9 more
The rapid increase in both the quantity and complexity of data that are being generated daily in the field of environmental science and engineering (ESE) demands accompanied advancement in data analytics. Advanced data analysis approaches, such as machine learning (ML), have become indispensable tools for revealing hidden patterns or deducing correlations for which conventional analytical methods face limitations or challenges. However, ML concepts and practices have not been widely utilized by researchers in ESE. This feature explores the potential of ML to revolutionize data analysis and modeling in the ESE field, and covers the essential knowledge needed for such applications. First, we use five examples to illustrate how ML addresses complex ESE problems. We then summarize four major types of applications of ML in ESE: making predictions; extracting feature importance; detecting anomalies; and discovering new materials or chemicals. Next, we introduce the essential knowledge required and current shortcomings in ML applications in ESE, with a focus on three important but often overlooked components when applying ML: correct model development, proper model interpretation, and sound applicability analysis. Finally, we discuss challenges and future opportunities in the application of ML tools in ESE to highlight the potential of ML in this field.
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
Zhong, S., Zhang, K., Bagheri, M., Burken, J. G., Gu, A. Z., Li, B., Ma, X., Marrone, B. L., Ren, Z. J., Schrier, J., Shi, W. F., Tan, H., Wang, T., Wang, X., Wong, B. M., Xiao, X., Yu, X. B., Zhu, J., & Zhang, H. J. (2021). Machine Learning: New Ideas and Tools in Environmental Science and Engineering. Environmental Science & Technology, 55(19), 12741–12754. https://doi.org/10.1021/acs.est.1c01339
Zhong, Shifa, et al. "Machine Learning: New Ideas and Tools in Environmental Science and Engineering." Environmental Science & Technology, vol. 55, no. 19, 2021, pp. 12741–12754, https://doi.org/10.1021/acs.est.1c01339.
Zhong, Shifa, Kai Zhang, Majid Bagheri, Joel G. Burken, April Z. Gu, Baikun Li, Xingmao Ma, et al. "Machine Learning: New Ideas and Tools in Environmental Science and Engineering." Environmental Science & Technology 55, no. 19 (2021): 12741–12754. https://doi.org/10.1021/acs.est.1c01339.
Zhong S., Zhang K., Bagheri M. [и др.] Machine Learning: New Ideas and Tools in Environmental Science and Engineering // Environmental Science & Technology. — 2021. — Vol. 55, № 19. — P. 12741–12754. — URL: https://doi.org/10.1021/acs.est.1c01339
@article{zhong2021machine,
title = {{Machine Learning: New Ideas and Tools in Environmental Science and Engineering}},
author = {Shifa Zhong and Kai Zhang and Majid Bagheri and Joel G. Burken and April Z. Gu and Baikun Li and Xingmao Ma and Babetta L. Marrone and Zhiyong Jason Ren and Joshua Schrier and Wei Feng Shi and Haoyue Tan and Tianbao Wang and Xu Wang and Bryan M. Wong and Xusheng Xiao and Xiong Bill Yu and Jun‐Jie Zhu and Huichun Judy Zhang},
journal = {Environmental Science \& Technology},
year = {2021},
volume = {55},
number = {19},
pages = {12741--12754},
doi = {10.1021/acs.est.1c01339},
url = {https://doi.org/10.1021/acs.est.1c01339}
}TY - JOUR AU - Zhong, Shifa AU - Zhang, Kai AU - Bagheri, Majid AU - Burken, Joel G. AU - Gu, April Z. AU - Li, Baikun AU - Ma, Xingmao AU - Marrone, Babetta L. AU - Ren, Zhiyong Jason AU - Schrier, Joshua AU - Shi, Wei Feng AU - Tan, Haoyue AU - Wang, Tianbao AU - Wang, Xu AU - Wong, Bryan M. AU - Xiao, Xusheng AU - Yu, Xiong Bill AU - Zhu, Jun‐Jie AU - Zhang, Huichun Judy TI - Machine Learning: New Ideas and Tools in Environmental Science and Engineering JO - Environmental Science & Technology VL - 55 IS - 19 SP - 12741 EP - 12754 PY - 2021 DA - 2021/08/17 DO - 10.1021/acs.est.1c01339 UR - https://doi.org/10.1021/acs.est.1c01339 ER -
Add Find Research to Claude or ChatGPT and ask in plain language. The assistant reads this record, finds the papers around it and cites only what it actually found:
Setup takes about a minute: add the connector, then start the free trial.
Record from OpenAlex. Find Research links only to legal copies.