Keresés
4 találatból megjelenítve: 1-4
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: Blockchain and Artificial Intelligence: Connecting Two Distinct Technologies to Comply with GDPR's Data Protection By Design Principle
Szerző:
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: Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high discharge coefficients. Computational fluid ...