Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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16191 - 16200 von 16541

	16191	Uncovering the epigenetic regulatory clues of PRRT1 in Alzheimer’s disease: a strategy integrating multi-omics analysis with explainable machine learning Enthalten in Alzheimer's research & therapy Bd. 17, 7.1.2025, Nr. 1, date:12.2025: 1-21
	16192	Uncovering the factors that affect earthquake insurance uptake using supervised machine learning Enthalten in Scientific reports Bd. 13, 3.12.2023, Nr. 1, date:12.2023: 1-19
	16193	Uncovering waterlogging-responsive genes in cucumber through machine learning and differential gene correlation analysis Enthalten in Botanical studies Bd. 65, 14.8.2024, Nr. 1, date:12.2024: 1-17
	16194	Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning Enthalten in Scientific reports Bd. 10, 14.9.2020, Nr. 1, date:12.2020: 1-9
	16195	Understanding CO adsorption in MOFs combining atomic simulations and machine learning Enthalten in Scientific reports Bd. 14, 22.10.2024, Nr. 1, date:12.2024: 1-12
	16196	Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach Enthalten in Scientific reports Bd. 8, 22.10.2018, Nr. 1, date:12.2018: 1-11
	16197	Understanding EMS response times: a machine learning-based analysis Enthalten in BMC medical informatics and decision making Bd. 25, 24.3.2025, Nr. 1, date:12.2025: 1-15
	16198	Understanding health management and safety decisions using signal processing and machine learning Enthalten in BMC medical research methodology Bd. 19, 13.6.2019, Nr. 1, date:12.2019: 1-12
	16199	Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models Enthalten in Neuroinformatics Bd. 22, 10.9.2024, Nr. 4, date:10.2024: 487-497
	16200	Understanding machine learning applications in dementia research and clinical practice: a review for biomedical scientists and clinicians Enthalten in Alzheimer's research & therapy Bd. 16, 1.8.2024, Nr. 1, date:12.2024: 1-21