Xuan Cuong Nguyen, Vu Khac Hoang Bui, Kyung Hwa Cho, Jin Hur
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Abstract
The application of machine learning (ML) techniques for understanding and predicting organic matter (OM) and harmful algal blooms (HABs) in freshwater systems has increased significantly with the a...
期刊介绍：
Two of the most pressing global challenges of our era involve understanding and addressing the multitude of environmental problems we face. In order to tackle them effectively, it is essential to devise logical strategies and methods for their control. Critical Reviews in Environmental Science and Technology serves as a valuable international platform for the comprehensive assessment of current knowledge across a wide range of environmental science topics.
Environmental science is a field that encompasses the intricate and fluid interactions between various scientific disciplines. These include earth and agricultural sciences, chemistry, biology, medicine, and engineering. Furthermore, new disciplines such as environmental toxicology and risk assessment have emerged in response to the increasing complexity of environmental challenges.
The purpose of Critical Reviews in Environmental Science and Technology is to provide a space for critical analysis and evaluation of existing knowledge in environmental science. By doing so, it encourages the advancement of our understanding and the development of effective solutions. This journal plays a crucial role in fostering international cooperation and collaboration in addressing the pressing environmental issues of our time.
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