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Artikel 21611 State-efficient realization of fault-tolerant FSSP algorithms
Enthalten in Natural computing Bd. 18, 17.10.2019, Nr. 4, date:12.2019: 827-844
Online Ressource
Artikel 21612 State Estimation Algorithms for Localization: A Survey
Enthalten in International journal of control, automation, and systems Bd. 21, 12.8.2023, Nr. 9, date:9.2023: 2771-2781
Online Ressource
Artikel 21613 State of art fusion-finder algorithms are suitable to detect transcription-induced chimeras in normal tissues?
Enthalten in BMC bioinformatics Bd. 14, 22.4.2013, Nr. 7, date:4.2013: 1-11
Online Ressource
Artikel 21614 State of health estimation of lithium-ion batteries based on the fusion of aging feature extraction and SSA-ELM machine learning algorithms
Enthalten in Ionics Bd. 31, 6.6.2025, Nr. 8, date:8.2025: 7897-7915
Online Ressource
Artikel 21615 State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
Enthalten in Artificial intelligence review Bd. 57, 4.1.2024, Nr. 1, date:1.2024: 1-54
Online Ressource
Artikel 21616 Statistical Analysis of Machine Learning Algorithms for the Prediction of Unconfined Compressive Strength of Rocks
Enthalten in Transportation infrastructure geotechnology Bd. 12, 30.6.2025, Nr. 6, date:8.2025: 1-27
Online Ressource
Artikel 21617 Statistical analysis of topological indices in linear phenylenes for predicting physicochemical properties using algorithms
Enthalten in Scientific reports Bd. 14, 20.8.2024, Nr. 1, date:12.2024: 1-17
Online Ressource
Artikel 21618 Statistical analysis of tourist flow in tourist spots based on big data platform and DA-HKRVM algorithms
Enthalten in Personal and ubiquitous computing Bd. 24, 14.11.2019, Nr. 1, date:2.2020: 87-101
Online Ressource
Artikel 21619 Statistical Comparison of Various Reconstruction Algorithms with respect to Missing Wedge Artifacts in Computed Tomography
Enthalten in Materials Research Society: MRS online proceedings library Bd. 1421, 1.12.2011, Nr. 1, date:12.2012: 18-23
Online Ressource
Artikel 21620 Statistical downscaling and projection of climatic extremes using machine learning algorithms
Enthalten in Theoretical and applied climatology Bd. 153, 19.6.2023, Nr. 3-4, date:8.2023: 1033-1047
Online Ressource


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