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20211 - 20220 von 20258
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Artikel 20211 What factors preventing the older adults in China from living longer: a machine learning study
Enthalten in BMC geriatrics Bd. 24, 22.7.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 20212 WHAT IDENTIFIES A WHALE BY ITS FLUKE? ON THE BENEFIT OF INTERPRETABLE MACHINE LEARNING FOR WHALE IDENTIFICATION
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. V-2-2020, 2020: 1005-1012
Online Ressource
Artikel 20213 What influences the perception of fairness in urban and rural China? An analysis using machine learning
Enthalten in Humanities and Social Sciences Communications Bd. 12, 10.10.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 20214 What is the impact of national public expenditure and its allocation on neonatal and child mortality? A machine learning analysis
Enthalten in BMC public health Bd. 23, 28.4.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 20215 What makes on-farm experimental data suitable for data-driven decision-making? Implications of trial design and spatial distribution of field data for machine learning models
Enthalten in Precision agriculture Bd. 26, 20.9.2025, Nr. 5, date:10.2025: 1-23
Online Ressource
Artikel 20216 What we can do with one qubit in quantum machine learning: ten classical machine learning problems that can be solved with a single qubit
Enthalten in Quantum machine intelligence Bd. 6, 12.11.2024, Nr. 2, date:12.2024: 1-24
Online Ressource
Artikel 20217 When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days
Enthalten in Machine learning Bd. 113, 26.3.2024, Nr. 5, date:5.2024: 2765-2794
Online Ressource
Artikel 20218 When machine learning and neural networks marry real-time scheduling
Enthalten in Real-time systems Bd. 61, 7.7.2025, Nr. 2, date:6.2025: 320-325
Online Ressource
Artikel 20219 When not to use machine learning: A perspective on potential and limitations
Enthalten in Materials Research Society: MRS bulletin Bd. 47, 21.10.2022, Nr. 9, date:9.2022: 968-974
Online Ressource
Artikel 20220 When physics meets machine learning: a survey of physics-informed machine learning
Enthalten in Machine learning for computational science and engineering Bd. 1, 7.5.2025, Nr. 1, date:6.2025: 1-23
Online Ressource


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