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Standalone and ensemble-based machine learning techniques for particle Froude number prediction in a sewer system
Authors:Shakya  Deepti  Deshpande  Vishal  Agarwal  Mayank  Kumar  Bimlesh
Affiliation:1.Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India
;2.Department of Civil and Environmental Engineering, Indian Institute of Technology Patna, Patna, India
;3.Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, India
;
Abstract:Neural Computing and Applications - The hydraulic capacity of a channel is impacted due to sediment deposition in urban drainage and sewer system. As a result, the self-cleansing mechanism is a...
Keywords:
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