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Artikel 27581 Solution of the Fracture Detection Problem by Machine Learning Methods
Enthalten in Doklady mathematics Bd. 101, 18.7.2020, Nr. 2, date:3.2020: 169-171
Online Ressource
Artikel 27582 Solution of the Problem of Classification of Hydroacoustic Signals Based on Harmonious Wavelets and Machine Learning
Enthalten in Pattern recognition and image analysis Bd. 30, 15.9.2020, Nr. 3, date:7.2020: 480-488
Online Ressource
Artikel 27583 Solving inverse problems with sparse noisy data, operator splitting and physics-constrained machine learning
Enthalten in Nonlinear dynamics Bd. 112, 15.12.2023, Nr. 3, date:2.2024: 2021-2036
Online Ressource
Artikel 27584 Solving of assignment problem by Pythagorean octagonal neutrosophic fuzzy number
Enthalten in International journal of information technology Bd. 17, 13.12.2024, Nr. 2, date:3.2025: 1079-1085
Online Ressource
Artikel 27585 Solving petrological problems through machine learning: the study case of tectonic discrimination using geochemical and isotopic data
Enthalten in Contributions to mineralogy and petrology Bd. 171, 3.9.2016, Nr. 10, date:10.2016: 1-15
Online Ressource
Artikel 27586 Solving Stochastic Inverse Problems for Property–Structure Linkages Using Data-Consistent Inversion and Machine Learning
Enthalten in JOM Bd. 73, 20.11.2020, Nr. 1, date:1.2021: 72-89
Online Ressource
Artikel 27587 Solving the electronic structure problem with machine learning
Enthalten in npj computational materials Bd. 5, 18.2.2019, Nr. 1, date:12.2019: 1-7
Online Ressource
Artikel 27588 Solving the $$H_0}$$ H 0 tension in f(T) gravity through Bayesian machine learning
Enthalten in The European physical journal / C / Particles and fields Bd. 82, 14.12.2022, Nr. 12, date:12.2022: 1-17
Online Ressource
Artikel 27589 Solving the puzzle of quality of life in cancer: integrating causal inference and machine learning for data-driven insights
Enthalten in Health and quality of life outcomes Bd. 22, 7.8.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 27590 Solving the spatial extrapolation problem in flood susceptibility using hybrid machine learning, remote sensing, and GIS
Enthalten in Environmental science and pollution research Bd. 31, 13.2.2024, Nr. 12, date:3.2024: 18701-18722
Online Ressource


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