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Ergebnis der Suche nach:
"Machine Learning"
im Bestand: Gesamter Bestand
43271 - 43280 von 43580
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43271
Using sentinel-2 satellite images and machine learning algorithms to predict tropical pasture forage mass, crude protein, and fiber content
Enthalten in Scientific reports Bd. 14, 15.4.2024, Nr. 1, date:12.2024: 1-14
43272
Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP
Enthalten in Prevention science Bd. 20, 9.5.2019, Nr. 6, date:8.2019: 904-913
43273
Using Sparrow Search Algorithm for tuning hyperparameters of hybrid machine learning models
Enthalten in Signal, image and video processing Bd. 19, 4.7.2025, Nr. 10, date:10.2025: 1-20
43274
Using spectral and temporal filters with EEG signal to predict the temporal lobe epilepsy outcome after antiseizure medication via machine learning
Enthalten in Scientific reports Bd. 13, 18.12.2023, Nr. 1, date:12.2023: 1-12
43275
Using symbolic machine learning to assess and model substance transport and decay in water distribution networks
Enthalten in Scientific reports Bd. 14, 8.2.2024, Nr. 1, date:12.2024: 1-14
43276
Using synthetic data to develop machine learning models to predict the performance of fiber-reinforced concrete
Enthalten in Asian journal of civil engineering Bd. 26, 11.3.2025, Nr. 5, date:5.2025: 2209-2221
43277
Using the artificial bee colony technique to optimize machine learning algorithms in estimating the mature weight of camels
Enthalten in Tropical animal health and production Bd. 55, 17.2.2023, Nr. 2, date:4.2023: 1-10
43278
Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior
Enthalten in Smart Learning Environments Bd. 10, 27.11.2023, Nr. 1, date:12.2023: 1-16
43279
Using the risk of spatial extrapolation by machine-learning models to assess the reliability of model predictions for conservation
Enthalten in Landscape ecology Bd. 38, 10.4.2023, Nr. 6, date:6.2023: 1363-1372
43280
Using time-series chest radiographs and laboratory data by machine learning for identifying pulmonary infection and colonization of Acinetobacter baumannii
Enthalten in Respiratory research Bd. 25, 3.1.2024, Nr. 1, date:12.2024: 1-11
43271 - 43280 von 43580
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