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Neuigkeiten Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.
 
 
 


Ergebnis der Suche nach: tit all "Machine Learning Techniques"
im Bestand: Gesamter Bestand

1081 - 1090 von 1453
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Artikel 1081 Investigation and classification of fibre deformation using interferometric and machine learning techniques
Enthalten in Applied physics / B / Lasers and optics Bd. 126, 4.3.2020, Nr. 4, date:4.2020: 1-14
Online Ressource
Artikel 1082 IoT-Based Crop Yield Prediction System in Indian Sub-continent Using Machine Learning Techniques
Enthalten in Remote sensing in earth systems sciences Bd. 6, 24.11.2023, Nr. 3-4, date:12.2023: 156-166
Online Ressource
Artikel 1083 IoT-based group size prediction and recommendation system using machine learning and deep learning techniques
Enthalten in SN applied sciences Bd. 3, 20.1.2021, Nr. 2, date:2.2021: 1-18
Online Ressource
Artikel 1084 Kinematic Modeling for Biped Robot Gait Trajectory Using Machine Learning Techniques
Enthalten in Journal of bionic engineering Bd. 19, 19.1.2022, Nr. 2, date:3.2022: 355-369
Online Ressource
Artikel 1085 Kinematic Viscosity Prediction of Nanolubricants Employed in Heavy Earth Moving Machinery Using Machine Learning Techniques
Enthalten in International journal of precision engineering and manufacturing Bd. 21, 28.7.2020, Nr. 10, date:10.2020: 1921-1932
Online Ressource
Artikel 1086 Land subsidence prediction in coal mining using machine learning models and optimization techniques
Enthalten in Environmental science and pollution research Bd. 31, 19.4.2024, Nr. 22, date:5.2024: 31942-31966
Online Ressource
Artikel 1087 Landslide identification using machine learning techniques: Review, motivation, and future prospects
Enthalten in Earth science informatics Bd. 15, 3.11.2022, Nr. 4, date:12.2022: 2063-2090
Online Ressource
Artikel 1088 Landslide susceptibility zonation using integrated supervised and unsupervised machine learning techniques in the Bhagirathi Eco-Sensitive Zone (BESZ), Uttarakhand, Himalaya, India
Enthalten in Journal of earth system science Bd. 133, 6.7.2024, Nr. 3, date:9.2024: 1-25
Online Ressource
Artikel 1089 Landslides and flood multi-hazard assessment using machine learning techniques
Enthalten in Bulletin of engineering geology and the environment Bd. 81, 18.8.2022, Nr. 9, date:9.2022: 1-23
Online Ressource
Artikel 1090 Leading dietary determinants identified using machine learning techniques and a healthy diet score for changes in cardiometabolic risk factors in children: a longitudinal analysis
Enthalten in Nutrition journal Bd. 19, 19.9.2020, Nr. 1, date:12.2020: 1-16
Online Ressource


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