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

36871 - 36880 von 37157
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Artikel 36871 Using machine learning with case studies to identify practices that reduce greenhouse gas emissions across Australian grain production regions
Enthalten in Agronomy for sustainable development Bd. 43, 20.3.2023, Nr. 2, date:4.2023: 1-11
Online Ressource
Artikel 36872 Using matrix assisted laser desorption ionisation mass spectrometry combined with machine learning for vaccine authenticity screening
Enthalten in npj vaccines Bd. 9, 28.8.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 36873 Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis
Enthalten in Malaria journal Bd. 18, 30.5.2019, Nr. 1, date:12.2019: 1-9
Online Ressource
Artikel 36874 Using music to soothe our patients, measuring hair cortisol, and machine learning in diabetes: Prof. Batrinos would have been very happy!
Enthalten in Hormones Bd. 22, 10.11.2023, Nr. 4, date:12.2023: 533-535
Online Ressource
Artikel 36875 Using natural history to guide supervised machine learning for cryptic species delimitation with genetic data
Enthalten in Frontiers in zoology Bd. 19, 22.2.2022, Nr. 1, date:12.2022: 1-15
Online Ressource
Artikel 36876 Using natural language processing and machine learning to identify breast cancer local recurrence
Enthalten in BMC bioinformatics Bd. 19, 28.12.2018, Nr. 17, date:12.2018: 65-74
Online Ressource
Artikel 36877 Using of Machine Learning Capabilities to Predict Double Phosphate Structures for Biomedical Applications
Enthalten in Journal of surface investigation Bd. 18, 15.7.2024, Nr. 3, date:6.2024: 633-640
Online Ressource
Artikel 36878 USING OPEN DATA CUBE ON THE CLOUD TO INVESTIGATE FOOD SECURITY BY MEANS OF CROPLAND CHANGES IN DJIBOUTI
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 1039-1044. 6 S.
Online Ressource
Artikel 36879 Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms
Enthalten in Water resources management Bd. 36, 17.1.2022, Nr. 2, date:1.2022: 699-716
Online Ressource
Artikel 36880 Using Passive Multi-Modal Sensor Data for Thermal Simulation of Urban Surfaces
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-2-2024, 2024: 17-24. 8 S.
Online Ressource


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