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Artikel 16631 Using machine learning algorithms to guide rehabilitation planning for home care clients
Enthalten in BMC medical informatics and decision making Bd. 7, 20.12.2007, Nr. 1, date:12.2007: 1-13
Online Ressource
Artikel 16632 Using machine learning algorithms to identify genes essential for cell survival
Enthalten in BMC bioinformatics Bd. 18, 3.10.2017, Nr. 11, date:10.2017: 19-29
Online Ressource
Artikel 16633 Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service
Enthalten in The international journal of advanced manufacturing technology Bd. 128, 23.8.2023, Nr. 9-10, date:10.2023: 3857-3883
Online Ressource
Artikel 16634 Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors
Enthalten in BMC medical informatics and decision making Bd. 24, 22.7.2024, Nr. 1, date:12.2024: 1-8
Online Ressource
Artikel 16635 Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data
Enthalten in Journal of Big Data Bd. 9, 29.4.2022, Nr. 1, date:12.2022: 1-20
Online Ressource
Artikel 16636 Using metaheuristic algorithms to optimize a mixed model-based ground-motion prediction model and associated variance components
Enthalten in Journal of seismology Bd. 26, 4.5.2022, Nr. 3, date:6.2022: 483-498
Online Ressource
Artikel 16637 Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization
Enthalten in Annals of operations research Bd. 240, 22.9.2015, Nr. 1, date:5.2016: 217-250
Online Ressource
Artikel 16638 Using multi-objective evolutionary algorithms to predict the parameters that determine membrane resonance in a biophysical model of bursting neurons
Enthalten in BMC neuroscience Bd. 15, 21.7.2014, Nr. 1, date:7.2014: 1-2
Online Ressource
Artikel 16639 Using multivariate adaptive regression splines and extremely randomized trees algorithms to predict dust events frequency around an international wetland and prioritize its drivers
Enthalten in Environmental monitoring and assessment Bd. 193, 22.6.2021, Nr. 7, date:7.2021: 1-21
Online Ressource
Artikel 16640 Using Nondeterminism to Design Efficient Deterministic Algorithms
Enthalten in Algorithmica Bd. 40, 16.4.2004, Nr. 2, date:10.2004: 83-97
Online Ressource


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