Keresés
20 találatból megjelenítve: 1-10
Cím: Correlation analysis of factors affecting firm performance and employees wellbeing: application of advanced machine learning analysis
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
The study sought to investigate the process of built-up expansion and the probability of built-up expansion in the English Bazar Block of West Bengal, India, using multitemporal Landsat satellite images and an integrated ...
Cím: Developing robust flood susceptibility model with small numbers of parameters in highly fertile regions of northwest Bangladesh for sustainable flood and agriculture management
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
The present study intends to improve the robustness of a flood susceptibility (FS) model with a small number of parameters in data-scarce areas, such as northwest Bangladesh, by employing machine learning-based sensitivity ...
Cím: Modeling the efficacy of different anti-angiogenic drugs on treatment of solid tumors using 3D computational modeling and machine learning
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Conclusion: We demonstrated that SVM combined with genetic optimization algorithm could be lead to more accuracy. Therefore, our study confirms that the GSVMA method outperforms other methods so that it can facilitate CAD ...
Cím: Analysing process and probability of built-up expansion using machine learning and fuzzy logic in English Bazar, West Bengal
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Dátum: 2022
Feltöltve: 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 ...
Cím: Colonial competitive evolutionary Rao algorithm for optimal engineering design
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Pipelines are the safest tools for transporting oil and gas. However, the environmental effects and sabotage of hostile people cause corrosion and decay of pipelines, which bring financial and environmental damages. Today, ...
Cím: Comparative analysis of machine learning and numerical modeling for combined heat transfer in polymethylmethacrylate
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
This study has compared different methods to predict the simultaneous effects of conductive and radiative heat transfer in a polymethylmethacrylate (PMMA) sample. PMMA is a type of polymer utilized in various sensors and ...
Cím: Novel approach for estimation of sediment load in dam reservoir with hybrid intelligent algorithms
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Dátum: 2022
Feltöltve: 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 ...
Cím: Energetic thermo-physical analysis of MLP-RBF feed-forward neural network compared with RLS Fuzzy to predict CuO/liquid paraffin mixture properties
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Dynamic viscosity of novel generated Copper Oxide (CuO)/Liquid Paraffin nanofluids is obtained experimentally for various temperatures and concentrations. To optimize the empirical process and for cost-efficiency, Feed-Forward ...
Cím: Feasibility of Random Forest and Multivariate Adaptive Regression Splines for Predicting Long-Term Mean Monthly Dew Point Temperature
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Dátum: 2022
Feltöltve: 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 ...
Cím: When Smart Cities Get Smarter via Machine Learning: An In-depth Literature Review
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Dátum: 2022
Feltöltve: 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 ...