Forecasting particle Froude number in non-deposition scenarios within sewer pipes through hybrid machine learning approaches

Sanjit Kumar, Vishal Deshpande, Mayank Agarwal, Upaka Rathnayake

Research output: Contribution to journal › Article › peer-review

Access to Document

@article{a41fcebbf7a54e2788d39e6a9dea0896,

title = "Forecasting particle Froude number in non-deposition scenarios within sewer pipes through hybrid machine learning approaches",

author = "Sanjit Kumar and Vishal Deshpande and Mayank Agarwal and Upaka Rathnayake",

year = "2024",

month = jun,

doi = "10.1016/j.rineng.2024.102320",

language = "Undefined/Unknown",

journal = "Results in Engineering",

issn = "2590-1230",

}

TY - JOUR

T1 - Forecasting particle Froude number in non-deposition scenarios within sewer pipes through hybrid machine learning approaches

AU - Kumar, Sanjit

AU - Deshpande, Vishal

AU - Agarwal, Mayank

AU - Rathnayake, Upaka

PY - 2024/6

Y1 - 2024/6

UR - https://doi.org/10.1016/j.rineng.2024.102320

U2 - 10.1016/j.rineng.2024.102320

DO - 10.1016/j.rineng.2024.102320

M3 - Article

SN - 2590-1230

JO - Results in Engineering

JF - Results in Engineering

ER -