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Title: Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed
Author: ; ; ; ; ;
Date: 2022
Submitted: 2022-04-11
(Elsevier Ltd, 2022)
Estimating wind energy plays an important role in energy science as it can be considered a crucial source of renewable and sustainable energy. In this study, five types of soft computing approaches were implemented to ...
Title: A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques
Author: ; ; ; ; ;
Date: 2022
Submitted: 2022-04-11
(Elsevier Ltd, 2022)
Determination of pore pressure (PP), a key reservoir parameter that is beneficial for evaluating geomechanical parameters of the reservoir, is so important in oil and gas fields development. Accurate estimation of PP is ...
Title: When Smart Cities Get Smarter via Machine Learning: An In-depth Literature Review
Author: ; ; ; ; ; ; ; ; ;
Date: 2022
Submitted: 2023-02-16
(2022)
The main aim of the study is to investigate the growth of oyster mushrooms in two substrates, namely straw and wheat straw. In the following, the study moves towards modeling and optimization of the production yield by ...
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 ...