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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

26831 - 26840 von 28816
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Artikel 26831 Revolutionizing in vitro cultivation: machine learning-based optimization of nutrients for superior morphology and biochemistry of Phalaenopsis orchids
Enthalten in Plant cell, tissue and organ culture Bd. 161, 22.4.2025, Nr. 2, date:5.2025: 1-14
Online Ressource
Artikel 26832 Revolutionizing prostate cancer screening: Machine learning-driven FTIR analysis of biofluidic EVs integrated with clinical profiles
Enthalten in Health and Technology Bd. 15, 14.4.2025, Nr. 3, date:5.2025: 563-576
Online Ressource
Artikel 26833 Rewiring care delivery through Digital Therapeutics (DTx): a machine learning-enhanced assessment and development (M-LEAD) framework
Enthalten in BMC health services research Bd. 24, 23.2.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 26834 RExPRT: a machine learning tool to predict pathogenicity of tandem repeat loci
Enthalten in Genome biology Bd. 25, 31.1.2024, Nr. 1, date:12.2024: 1-22
Online Ressource
Artikel 26835 RF-MEMS capacitive switches: enabling transition towards 5G/B5G applications
Enthalten in International journal of information technology Bd. 15, 6.9.2023, Nr. 7, date:10.2023: 3889-3897
Online Ressource
Artikel 26836 RF sensing enabled tracking of human facial expressions using machine learning algorithms
Enthalten in Scientific reports Bd. 14, 13.11.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 26837 RGCVAE: relational graph conditioned variational autoencoder for molecule design
Enthalten in Machine learning Bd. 114, 27.1.2025, Nr. 2, date:2.2025: 1-26
Online Ressource
Artikel 26838 RGF-Bot: A Novel Feature Selection Method to Identify Malicious Bot Accounts on Social Networking Sites Using Machine Learning
Enthalten in SN Computer Science Bd. 4, 3.11.2023, Nr. 6, date:11.2023: 1-13
Online Ressource
Artikel 26839 RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers
Enthalten in BMC bioinformatics Bd. 18, 30.6.2017, Nr. 1, date:12.2017: 1-22
Online Ressource
Artikel 26840 Rheological Behavior of SAE50 Oil–SnO2–CeO2 Hybrid Nanofluid: Experimental Investigation and Modeling Utilizing Response Surface Method and Machine Learning Techniques
Enthalten in Nanoscale research letters Bd. 17, 8.12.2022, Nr. 1, date:12.2022: 1-22
Online Ressource


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