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Ergebnis der Suche nach:
"Machine Learning"
im Bestand: Gesamter Bestand
11861 - 11870 von 15184
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11861
Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review
Enthalten in Archives of computational methods in engineering Bd. 30, 29.4.2023, Nr. 7, date:9.2023: 4177-4207
11862
Machine learning revealed giant thermal conductivity reduction by strong phonon localization in two-angle disordered twisted multilayer graphene
Enthalten in npj computational materials Bd. 11, 23.6.2025, Nr. 1, date:12.2025: 1-9
11863
Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintings
Enthalten in Scientific reports Bd. 13, 10.8.2023, Nr. 1, date:12.2023: 1-13
11864
Machine learning reveals CAT gene as a novel potential diagnostic and prognostic biomarker in non-small cell lung cancer
Enthalten in Discover oncology Bd. 15, 18.12.2024, Nr. 1, date:12.2024: 1-18
11865
Machine learning reveals complex effects of climatic means and weather extremes on wheat yields during different plant developmental stages
Enthalten in Climatic change Bd. 169, 29.12.2021, Nr. 3-4, date:12.2021: 1-19
11866
Machine learning reveals differential effects of depression and anxiety on reward and punishment processing
Enthalten in Scientific reports Bd. 14, 10.4.2024, Nr. 1, date:12.2024: 1-13
11867
Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals
Enthalten in Nature Communications Bd. 16, 19.3.2025, Nr. 1, date:12.2025: 1-12
11868
Machine learning reveals diverse cell death patterns in lung adenocarcinoma prognosis and therapy
Enthalten in npj precision oncology Bd. 8, 26.2.2024, Nr. 1, date:12.2024: 1-19
11869
Machine learning reveals features of spinon Fermi surface
Enthalten in Communications Physics Bd. 7, 14.2.2024, Nr. 1, date:12.2024: 1-8
11870
Machine learning reveals genes impacting oxidative stress resistance across yeasts
Enthalten in Nature Communications Bd. 16, 1.7.2025, Nr. 1, date:12.2025: 1-15
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