Keresés
21 találatból megjelenítve: 1-10
Cím: AI and international law
Szerző:
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: Modeling Organizational Performance with Machine Learning
Szerző: ; ; ; ;
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: Developing robust flood susceptibility model with small numbers of parameters in highly fertile regions of northwest Bangladesh for sustainable flood and agriculture management
Szerző: ; ; ; ; ; ; ; ;
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
Szerző: ; ; ; ; ; ; ; ; ; ;
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: 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: 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: Comparative analysis of machine learning and numerical modeling for combined heat transfer in polymethylmethacrylate
Szerző: ; ; ; ;
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
Szerző: ; ; ; ; ; ; ; ; ; ; ;
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
Szerző: ; ; ; ;
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
Szerző: ; ; ; ;
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 ...