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Title: Analysing process and probability of built-up expansion using machine learning and fuzzy logic in English Bazar, West Bengal
Author: ; ; ; ; ; ; ; ; ;
Date: 2022
Submitted: 2023-02-16
(2022)
"The mud weight window (MW) determination is one of the most important parameters in drilling oil and gas wells, where accurate design can secure the drilled well and deliver a stable borehole. In this paper, novel algorithms ...
Title: Novel approach for estimation of sediment load in dam reservoir with hybrid intelligent algorithms
Author: ; ; ; ; ; ; ;
Date: 2022
Submitted: 2023-02-15
(2022)
Methods: Hence, this paper provides a new hybrid machine learning model called genetic support vector machine and analysis of variance (GSVMA). The analysis of variance (ANOVA) is known as the kernel function for the SVM ...
Title: Feasibility of Random Forest and Multivariate Adaptive Regression Splines for Predicting Long-Term Mean Monthly Dew Point Temperature
Author: ; ; ; ; ;
Date: 2022
Submitted: 2023-02-15
(2022)
Results: As a result, the GSVMA hybrid method performs better than other methods. This proposed method has the highest accuracy of 89.45% through a 10-fold crossvalidation technique with 31 selected features on the Z-Alizadeh ...
Title: Modeling and optimization of the oyster mushroom growth using artificial neural network: Economic and environmental impacts
Author: ; ; ;
Date: 2022
Submitted: 2023-02-16
(2022)
"The accurate estimation of dew point temperature (Tdew) is important in climatological, agricultural, and agronomical studies. In this study, the feasibility of two soft computing methods, random forest (RF) and multivariate ...