Keresés
21 találatból megjelenítve: 1-10
Cím: Fuzzy state-dependent riccati equation (FSDRE) control of the reverse osmosis desalination system with photovoltaic power supply
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Households supply the workforce for the modern economy, increasingly based on information and communication technology (IT). The access of households to e-devices and e-channels has been continuously growing in the last ...
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: 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 ...
Cím: Autonomous robotic system for pumpkin harvesting
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Predicting the amount of sediment in water resource projects is one of the most important measures to be taken, while sediments have an unknown nature in their behavior. In this research, using the data recorded at the ...
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: Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
The present study focused on the development, optimization, and performance evaluation of a harvesting robot for heavyweight agricultural products. The main objective of developing this system is to improve the harvesting ...
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: 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 ...