Keresés
21 találatból megjelenítve: 1-10
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: 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: 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: 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: A new combination method for improving parallelism in two- and three-level perfect nested loops
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
A major and essential issue in biomedical research is to predict genome disorder. Genome disorders cause multivariate diseases like cancer, dementia, diabetes, cystic fibrosis, leigh syndrome, etc. which are causes of high ...
Cím: Blockchain and Artificial Intelligence: Connecting Two Distinct Technologies to Comply with GDPR's Data Protection By Design Principle
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
This work considers a multifactor linear mixed model under heteroscedasticity in random-effect factors and the skew-normal errors for modeling the correlated datasets. We implement an expectation–maximization (EM) algorithm ...
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: Modeling and optimization of the oyster mushroom growth using artificial neural network: Economic and environmental impacts
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Dátum: 2022
Feltöltve: 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 ...
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 ...