Name
Title | ||
|---|---|---|
Automated model construction for combined sewer overflow (CSO) prediction based on efficient LASSO algorithm |
Abstract | ||
|---|---|---|
The prediction of combined sewer overflow (CSO) operation in urban environments presents a challenging task for water utilities. The operation of CSOs (most often in heavy rainfall conditions) prevents houses and businesses from flooding. However, sometimes, CSOs do not operate as they should, potentially bringing environmental pollution risks. Therefore, CSOs should be appropriately managed by wa... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSMC.2017.2724440 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | Field | DocType |
Predictive models,Adaptation models,Data models,Analytical models,Computational modeling,Monitoring,Mathematical model | Computer science,Inversion (meteorology),Lasso (statistics),Artificial intelligence,Factoring,Combined sewer,Mathematical optimization,Environmental pollution,Decision support system,Algorithm,Pseudo-code,Machine learning,Computational complexity theory | Journal |
Volume | Issue | ISSN |
49 | 6 | 2168-2216 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wanqing Zhao | 1 | 54 | 4.17 |
| Thomas H. Beach | 2 | 22 | 4.73 |
| Yacine Rezgui | 3 | 379 | 45.97 |