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21671 - 21680 von 22300
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Artikel 21671 Structured adaptive spectral-based algorithms for nonlinear least squares problems with robotic arm modelling applications
Enthalten in Computational and applied mathematics Bd. 42, 30.9.2023, Nr. 7, date:10.2023: 1-31
Online Ressource
Artikel 21672 Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs
Enthalten in Insights into imaging Bd. 10, 23.9.2019, Nr. 1, date:12.2019: 1-8
Online Ressource
Artikel 21673 Study of Evolutionary Algorithms for Multi-objective Optimization
Enthalten in SN Computer Science Bd. 3, 2.8.2022, Nr. 5, date:9.2022: 1-7
Online Ressource
Artikel 21674 Study of Iterative Reception Algorithms for Product Codes Based on Low-Density Codes of Finite Geometries
Enthalten in Journal of communications technology and electronics Bd. 65, 21.7.2020, Nr. 6, date:6.2020: 626-633
Online Ressource
Artikel 21675 Study of Production Features, Modeling and Optimization of Algorithms for Reconstruction of Short-Lived Hadron Resonances in the MPD Experimental Setup at the NICA Collider
Enthalten in Physics of particles and nuclei Bd. 52, 3.9.2021, Nr. 4, date:7.2021: 703-709
Online Ressource
Artikel 21676 Study of spatiotemporal processing algorithms for video and image processing
Enthalten in Pattern recognition and image analysis Bd. 27, 9.12.2017, Nr. 4, date:10.2017: 686-694
Online Ressource
Artikel 21677 Study of the Effect of Water Intake by the Matrix on the Optimization of the Fiber Matrix Interface Damage for a Composite Material by Genetic Algorithms
Enthalten in Strength of materials Bd. 45, 15.12.2013, Nr. 6, date:11.2013: 739-747
Online Ressource
Artikel 21678 Study of the performance of 84 phase-shifting algorithms for interferometry
Enthalten in Journal of optics Bd. 40, 21.9.2011, Nr. 3, date:9.2011: 114-131
Online Ressource
Artikel 21679 Study of the Practical Convergence of Evolutionary Algorithms for the Optimal Program Control of a Wheeled Robot
Enthalten in Journal of computer and systems sciences international Bd. 57, 25.8.2018, Nr. 4, date:7.2018: 561-580
Online Ressource
Artikel 21680 Study of water resources parameters using artificial intelligence techniques and learning algorithms: a survey
Enthalten in Applied water science Bd. 12, 13.5.2022, Nr. 7, date:7.2022: 1-15
Online Ressource


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