With the continuous breakthroughs in the field of machine learning in various countries, against the backdrop of increasingly severe environmental issues, the application of machine learning in environmental engineering has attracted more attention. This paper aims to discuss the application of artificial ...
Such techniques are collectively known as machine learning. In this report, a survey of recent applications of machine learning in environmental engineering is presented. In particular, the focus is on the topics of water resources management, flood prediction, rainfall-runoff modeling, wastewater ...
Machine Learning: New Ideas and Tools in Environmental Science and Engineering 7032 01:09:00 如何识别陆地与海洋气溶胶来源? 3784 53:00 Carbon source/sink functions of rice paddies: Biogeochemical processes underlying the trade-off 1937 01:28:00 ...
在Chemical Reviews,Environmental Science & Technology,Water Research,Applied Catalysis B.等期刊上发表论文多篇,并作为项目负责人获得美国国家科学基金会等六项极具竞争力的研究资助,及多项美国联邦政府、州政府以及行业研究项目。担任ACS ES&T Water期刊的主题编辑和Frontiers of Environmental Science & Engineering(...
Filling gaps in MODIS NDVI data using hybrid multiple imputation–Machine learning and DINCAE techniques: Case study of the State of Hawaii School of Engineering, University of Guelph, Guelph, ON, N1G2W1, CanadaChanghyun JunSchool of Civil, Environmental and Architectural Engineering, College of.....
The research indicates that the prediction model based on PSO optimization LSSVM has a good guiding significance for the cost prediction of environmental governance engineering, and is more suitable for the prediction of the pre-cost of environmental governance. 展开 关键词: Machine learning ...
(SVR), random forest (RF) and extreme learning machines are still waiting to fully benefit the environmental modelling processes, although optimization algorithms have recently been combined with support vector machine (SVM) in environmental governance engineering (Ai and Yang, 2019; da Silveira et ...
A curated list of awesome responsible machine learning resources. - jphall663/awesome-machine-learning-interpretability
et al. Machine learning algorithms and techniques for landslide susceptibility investigation: A literature review | [机器学习方法在滑坡易发性评价中的应用]. Tumu yu Huanjing Gongcheng Xuebao/Journal of Civil and Environmental Engineering, 2022, 44(1): 53-67. DOI:10.11835/j.issn.2096-6717.2021.102...
closely related task. In the context of bioprocess modeling, transfer learning could be explored to enhance the predictive capabilities of the models by pretraining them on a large dataset, such as general time series data of bioreactors, before fine-tuning them on the specific task of ...