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Artikel 21721 Supercomputer Environment for Recursive Matrix Algorithms
Enthalten in Programming and computer software Bd. 48, 20.4.2022, Nr. 2, date:4.2022: 90-101
Online Ressource
Artikel 21722 Superconvergent Algorithms for the Numerical Solution of the Laplace Equation in Smooth Axisymmetric Domains
Enthalten in Computational mathematics and mathematical physics Bd. 60, 8.6.2020, Nr. 4, date:4.2020: 545-557
Online Ressource
Artikel 21723 Superimposed algorithms for the split equilibrium problems and fixed point problems
Enthalten in Journal of inequalities and applications Bd. 2014, 2.10.2014, Nr. 1, date:12.2014: 1-15
Online Ressource
Artikel 21724 Superresolution imaging: Theory, Algorithms and Applications
Enthalten in Multidimensional systems and signal processing Bd. 18, 23.2.2007, Nr. 2-3, date:9.2007: 57-58
Online Ressource
Artikel 21725 Supervised deep learning algorithms for process fault detection and diagnosis under different temporal subsequence length of process data
Enthalten in Applied intelligence Bd. 55, 22.7.2025, Nr. 12, date:8.2025: 1-22
Online Ressource
Artikel 21726 Supervised machine learning algorithms for predicting student dropout and academic success: a comparative study
Enthalten in Discover artificial intelligence Bd. 4, 4.1.2024, Nr. 1, date:12.2024: 1-24
Online Ressource
Artikel 21727 Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis
Enthalten in Scientific reports Bd. 15, 21.8.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 21728 Suppressing decoherence of quantum algorithms by jump codes
Enthalten in The European physical journal / D / Atomic, molecular, optical and plasma physics Bd. 36, 13.9.2005, Nr. 2, date:11.2005: 241-248
Online Ressource
Artikel 21729 Supracondylar Humerus Fractures: Classification Based Treatment Algorithms
Enthalten in Indian journal of orthopaedics Bd. 55, 22.10.2020, Nr. 1, date:2.2021: 68-80
Online Ressource
Artikel 21730 Surface Defects Detection of Cylindrical High-Precision Industrial Parts Based on Deep Learning Algorithms: A Review
Enthalten in Operations research forum Bd. 5, 1.7.2024, Nr. 3, date:9.2024: 1-71
Online Ressource


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