Katalog der Deutschen Nationalbibliothek

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

34961 - 34970 von 35871

	34961	The potential evaluation of groundwater by integrating rank sum ratio (RSR) and machine learning algorithms in the Qaidam Basin Enthalten in Environmental science and pollution research Bd. 30, 15.4.2023, Nr. 23, date:5.2023: 63991-64005
	34962	The Potential of Machine Learning for Enhancing CO2 Sequestration, Storage, Transportation, and Utilization-based Processes: A Brief Perspective Enthalten in JOM Bd. 74, 24.1.2022, Nr. 2, date:2.2022: 414-428
	34963	The power of AI in marketing: enhancing efficiency and improving customer perception through AI-generated storyboards Enthalten in International journal of information technology Bd. 16, 19.12.2023, Nr. 1, date:1.2024: 137-144
	34964	The power of machine learning Enthalten in Nature physics Bd. 15, 2.12.2019, Nr. 12, date:12.2019: 1208
	34965	The power of one clean qubit in supervised machine learning Enthalten in Scientific reports Bd. 13, 15.11.2023, Nr. 1, date:12.2023: 1-11
	34966	The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy Enthalten in Cancer imaging Bd. 24, 7.2.2024, Nr. 1, date:12.2024: 1-12
	34967	The Prediction-Explanation Fallacy: A Pervasive Problem in Scientific Applications of Machine Learning Enthalten in Methodology Bd. 20, 22.03.2024, Nr. 1
	34968	The prediction of aquifer groundwater level based on spatial clustering approach using machine learning Enthalten in Environmental monitoring and assessment Bd. 193, 9.3.2021, Nr. 4, date:4.2021: 1-20
	34969	The prediction of asymptomatic carotid atherosclerosis with electronic health records: a comparative study of six machine learning models Enthalten in BMC medical informatics and decision making Bd. 21, 5.4.2021, Nr. 1, date:12.2021: 1-9
	34970	The prediction of distant metastasis risk for male breast cancer patients based on an interpretable machine learning model Enthalten in BMC medical informatics and decision making Bd. 23, 21.4.2023, Nr. 1, date:12.2023: 1-14