Keresés
21 találatból megjelenítve: 11-20
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: 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: 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: Advance genome disorder prediction model empowered with deep learning
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Given the importance of identifying key performance points in organizations, this re- search intends to determine the most critical intra- and extra-organizational elements in assessing the performance of firms using the ...
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: Modeling Organizational Performance with Machine Learning
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Dátum: 2022
Feltöltve: 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 ...
Cím: AI and international law
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Dátum: 2021
Feltöltve: 2023-03-17
(2021)
The development of AI has been an explosive process, permeating almost all areas of life. During this rapid evolution, the legal profession has been slow to catch up. This is especially true for international law, which ...
Cím: A mesterséges intelligenciával kapcsolatos szakpolitikai fejlemények Latin-Amerikában
Szerző:
Dátum: 2022
Feltöltve: 2022-12-09
(Pécsi Tudományegyetem, Bölcsészet- és Társadalomtudományi Kar, Politikatudományi és Nemzetközi Tanulmányok TanszékPólusok Társadalomtudományi Egyesület, 2022)
A latin-amerikai országok is megkezdték nemzeti szintű, mesterséges intelligenciával kapcsolatos stratégiáik kidolgozását. A tanulmány célja, hogy összehasonlító elemzést nyújtson a stratégiafejlesztési folyamatokról öt ...
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 ...