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Ergebnis der Suche nach: "Machine Learning"
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26511 - 26520 von 28354
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Artikel 26511 Sailfish optimization-based controller selection (SFO-CS) for energy-aware multi-hop routing in software defined wireless sensor network (SDWSN)
Enthalten in International journal of information technology Bd. 15, 1.9.2023, Nr. 7, date:10.2023: 3935-3948
Online Ressource
Artikel 26512 Sales forecasting by combining clustering and machine-learning techniques for computer retailing
Enthalten in Neural computing & applications Bd. 28, 3.2.2016, Nr. 9, date:9.2017: 2633-2647
Online Ressource
Artikel 26513 Saliency-driven ‘decision referee’ for fine-grained classifier
Enthalten in International journal of information technology Bd. 15, 6.5.2023, Nr. 4, date:4.2023: 2099-2106
Online Ressource
Artikel 26514 Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning
Enthalten in BMC oral health Bd. 21, 18.12.2021, Nr. 1, date:12.2021: 1-12
Online Ressource
Artikel 26515 Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination
Enthalten in Breast cancer research and treatment Bd. 177, 8.7.2019, Nr. 3, date:10.2019: 591-601
Online Ressource
Artikel 26516 SAMPL6 logP challenge: machine learning and quantum mechanical approaches
Enthalten in Journal of computer aided molecular design Bd. 34, 30.1.2020, Nr. 5, date:5.2020: 495-510
Online Ressource
Artikel 26517 Sample classification by selecting informative genes: a greedy multi-objective simulated annealing approach
Enthalten in International journal of information technology Bd. 16, 18.6.2024, Nr. 6, date:8.2024: 3449-3463
Online Ressource
Artikel 26518 Sample complexity of variance-reduced policy gradient: weaker assumptions and lower bounds
Enthalten in Machine learning Bd. 113, 27.6.2024, Nr. 9, date:9.2024: 6475-6510
Online Ressource
Artikel 26519 Sampling the eigenvalues of a graph
Enthalten in Sampling theory, signal processing, and data analysis Bd. 21, 28.3.2023, Nr. 1, date:6.2023: 1-12
Online Ressource
Artikel 26520 Sand Production Prediction with Machine Learning using Input Variables from Geological and Operational Conditions in the Karazhanbas Oilfield, Kazakhstan
Enthalten in Natural resources research Bd. 33, 9.8.2024, Nr. 6, date:12.2024: 2789-2805
Online Ressource


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