Phosphorus prediction in the middle reaches of the Yangtze river based on GRA-CEEMDAN-CNLSTM-DBO
H Yao, Y Huang, P Lv, H Luo - Scientific Reports, 2024 - nature.com
Accurate and rapid prediction of water quality is crucial for the protection of aquatic
ecosystems. This study aims to enhance the prediction of total phosphorus (TP) …
ecosystems. This study aims to enhance the prediction of total phosphorus (TP) …
[HTML][HTML] Enhanced prediction of energy dissipation rate in hydrofoil-crested stepped spillways using novel advanced hybrid machine learning models
Abstract Accurately estimating the Energy Dissipation Rate (EDR) in Hydrofoil-Crested
Stepped Spillways (HCSSs) is crucial for ensuring the safety and optimizing the …
Stepped Spillways (HCSSs) is crucial for ensuring the safety and optimizing the …
Uncertainty analysis of the Sequencing Batch Reactor process using the Fuzzy Sets Theory
Abstract This study uses Fuzzy Sets Theory to investigate the uncertainty analysis of the
Sequencing Batch Reactor (SBR) process, focusing on key input parameters and biokinetic …
Sequencing Batch Reactor (SBR) process, focusing on key input parameters and biokinetic …
[HTML][HTML] Water–Energy Nexus-Based Optimization of the Water Supply Infrastructure in a Dryland Urban Setting
Managing water supply systems is essential for develo** countries to face climate
variability in dryland settings. This is exacerbated by high energy costs for pum**, water …
variability in dryland settings. This is exacerbated by high energy costs for pum**, water …
Fate and transport of chlorine dioxide: Modeling chlorine dioxide in water distribution systems
IE Karadirek, AN Rizvanoglu, B Okumus… - Water Environment …, 2024 - Wiley Online Library
This study aims to conduct a comprehensive analysis of switching disinfectants from sodium
hypochlorite bleach to chlorine dioxide (ClO2) in the water distribution system of Geyikbayiri …
hypochlorite bleach to chlorine dioxide (ClO2) in the water distribution system of Geyikbayiri …
Advanced computational strategy for damage identification of offshore jacket platforms
J Jafari‐Asl, Y Dong, Y Li - Civil Engineering Design - Wiley Online Library
In this study, an efficient surrogate‐assisted grey wolf optimizer (GWO) is presented by
combining Kriging‐based active learning to identify damages in jacketed platforms based on …
combining Kriging‐based active learning to identify damages in jacketed platforms based on …