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Artificial neural networks for water quality soft-sensing in wastewater treatment: a review
This paper aims to present a comprehensive survey on water quality soft-sensing of a
wastewater treatment process (WWTP) based on artificial neural networks (ANNs). We …
wastewater treatment process (WWTP) based on artificial neural networks (ANNs). We …
Neuro-swarm intelligent computing paradigm for nonlinear HIV infection model with CD4+ T-cells
M Umar, Z Sabir, MAZ Raja, JFG Aguilar, F Amin… - … and Computers in …, 2021 - Elsevier
In the investigations presented here, an efficient computing approach is applied to solve
Human Immunodeficiency Virus (HIV) infection spread. This approach involves CD4+ T-cells …
Human Immunodeficiency Virus (HIV) infection spread. This approach involves CD4+ T-cells …
Application of neural networks and neuro-fuzzy models in construction scheduling
JI Obianyo, RC Udeala, GU Alaneme - Scientific Reports, 2023 - nature.com
Construction scheduling is a complex process that involves a large number of variables,
making it difficult to develop accurate and efficient schedules. Traditional scheduling …
making it difficult to develop accurate and efficient schedules. Traditional scheduling …
Reliability evaluation of groundwater quality index using data-driven models
M Najafzadeh, F Homaei, S Mohamadi - Environmental Science and …, 2022 - Springer
A trustworthy evaluation of the groundwater quality situations for different usages (ie,
drinking, industry, and agriculture) can definitely improve the management of groundwater …
drinking, industry, and agriculture) can definitely improve the management of groundwater …
Prediction of maximum scour depth at clear water conditions: Multivariate and robust comparative analysis between empirical equations and machine learning …
Flow obstructed by bridge piers can increase sediment transport leading to local scour. This
local scour poses a risk to the stability of bridge structures, which could lead to structural …
local scour poses a risk to the stability of bridge structures, which could lead to structural …
Prediction of maximum scour depth near spur dikes in uniform bed sediment using stacked generalization ensemble tree-based frameworks
The scouring process near spur dikes could jeopardize the stability of riverbanks. Thus,
accurate estimation of the maximum scour depth near spur dikes is crucial in river …
accurate estimation of the maximum scour depth near spur dikes is crucial in river …
Reliability and safety assessment of submarine pipeline stopper based on Fuzzy Comprehensive Dynamic Bayesian Network
J Wen, L Zhang, Z Guo, W Tang, S Shang, M Liu… - Ocean …, 2024 - Elsevier
The submarine pipeline stopper is an emergency device that can quickly seal damaged
pipelines. Investigating the stopper's dependability and safety is vital to ensure that …
pipelines. Investigating the stopper's dependability and safety is vital to ensure that …
Predictive explicit expressions from data-driven models for estimation of scour depth below ski-jump bucket spillways
R Shafagh Loron, M Samadi, A Shamsai - Water Supply, 2023 - iwaponline.com
Scour depth estimation is an essential factor in water-related engineering problems.
Scouring below spillways may endanger a dam's stability and even lead to dam destruction …
Scouring below spillways may endanger a dam's stability and even lead to dam destruction …
Pipe break rate assessment while considering physical and operational factors: a methodology based on global positioning system and data-driven techniques
Y Amiri-Ardakani, M Najafzadeh - Water Resources Management, 2021 - Springer
An accurate prediction of pipes failure rate plays a substantial role in the management of
Water Distribution Networks (WDNs). In this study, a field study was conducted to register …
Water Distribution Networks (WDNs). In this study, a field study was conducted to register …
Prediction of current-induced scour depth around pile groups using MARS, CART, and ANN approaches
Scour around piles is considered as one of the most important phenomena which could
undermine the stability of piles. Data-driven methods are now being used more and more to …
undermine the stability of piles. Data-driven methods are now being used more and more to …