Search
Now showing items 1-6 of 6
Title: Correlation analysis of factors affecting firm performance and employees wellbeing: application of advanced machine learning analysis
Author: ; ; ; ; ; ;
Date: 2022
Submitted: 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 ...
Title: Developing robust flood susceptibility model with small numbers of parameters in highly fertile regions of northwest Bangladesh for sustainable flood and agriculture management
Author: ; ; ; ; ; ; ; ;
Date: 2022
Submitted: 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 ...
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: 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: 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 ...
Title: Modeling Organizational Performance with Machine Learning
Author: ; ; ; ;
Date: 2022
Submitted: 2023-03-20
(2022)
Identifying the performance factors of organizations is of utmost importance for labor studies for both empirical and theoretical research. The present study investigates the essential intra- and extra-organizational factors ...