Environmental Studies and ForestryNature Communications
Data-driven approaches linking wastewater and source estimation hazardous waste for environmental management
W. Xie, Q. Yu, et al.
This research, conducted by Wenjun Xie and colleagues, unveils a data-driven methodology for predicting hazardous waste generation using massive wastewater datasets. With impressive accuracy, the findings promise to enhance efficiency across various sectors, ultimately contributing to better environmental management.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Medicine and Health
Open source and reproducible and inexpensive infrastructure for data challenges and education
P. E. Dewitt, M. A. Rebull, et al.
Business
From insights to impact: leveraging data analytics for data-driven decision-making and productivity in banking sector
R. Gul and M. A. S. Al-faryan
Chemistry
Data driven discovery of conjugated polyelectrolytes for optoelectronic and photocatalytic applications
Y. Wan, F. Ramirez, et al.
Medicine and Health
Linking the Urban Environment and Health: An Innovative Methodology for Measuring Individual-Level Environmental Exposures
K. Krenz, A. Dhanani, et al.

