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Ergebnis der Suche nach: "Machine Learning"
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Artikel 25661 Prediction and analysis of preparation of cellulose nanocrystals with machine learning
Enthalten in Cellulose Bd. 30, 26.5.2023, Nr. 10, date:7.2023: 6273-6287
Online Ressource
Artikel 25662 Prediction and Analysis of the Severity and Number of Suburban Accidents Using Logit Model, Factor Analysis and Machine Learning: A case study in a developing country
Enthalten in SN applied sciences Bd. 3, 7.1.2021, Nr. 1, date:1.2021: 1-16
Online Ressource
Artikel 25663 Prediction and characterization of human ageing-related proteins by using machine learning
Enthalten in Scientific reports Bd. 8, 6.3.2018, Nr. 1, date:12.2018: 1-13
Online Ressource
Artikel 25664 Prediction and Control of Coke Plant Wastewater Quality using Machine Learning Techniques
Enthalten in Coke and chemistry Bd. 63, 27.4.2020, Nr. 1, date:1.2020: 47-56
Online Ressource
Artikel 25665 Prediction and design of mechanical properties of origami-inspired braces based on machine learning
Enthalten in AI in civil engineering Bd. 3, 21.3.2024, Nr. 1, date:12.2024: 1-21
Online Ressource
Artikel 25666 Prediction and diagnosis of cardiovascular disease using cloud and machine learning design
Enthalten in Journal of Cloud Computing Bd. 14, 20.1.2025, Nr. 1, date:12.2025: 1-9
Online Ressource
Artikel 25667 Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review
Enthalten in BMC medical informatics and decision making Bd. 23, 27.11.2023, Nr. 1, date:12.2023: 1-38
Online Ressource
Artikel 25668 Prediction and diagnosis of future diabetes risk: a machine learning approach
Enthalten in SN applied sciences Bd. 1, 28.8.2019, Nr. 9, date:9.2019: 1-8
Online Ressource
Artikel 25669 Prediction and early warning model of mixed exposure to air pollution and meteorological factors on death of respiratory diseases based on machine learning
Enthalten in Environmental science and pollution research Bd. 30, 3.3.2023, Nr. 18, date:4.2023: 53754-53766
Online Ressource
Artikel 25670 Prediction and Feature Importance of Earth Pressure in Shields Using Machine Learning Algorithms
Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 27, 19.11.2022, Nr. 2, date:2.2023: 862-877
Online Ressource


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