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

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Online Ressourcen 1 A scoping review and quality assessment of machine learning techniques in identifying maternal risk factors during the peripartum phase for adverse child development
Tu, Hsing-Fen. - Reutlingen : Hochschule Reutlingen, 2025
Online Ressource
Online Ressourcen 2 Evaluating Recycling Initiatives for Landfill Diversion in Developing Economies Using Integrated Machine Learning Techniques
Adedara, Muyiwa Lawrence. - Kiel : Universitätsbibliothek Kiel, 2025
Online Ressource
Online Ressourcen 3 Forecasting of residential unit's heat demands: a comparison of machine learning techniques in a real-world case study
Kemper, Neele. - Augsburg : Universität Augsburg, 2025
Online Ressource
Artikel 4 A comprehensive review of deep learning and machine learning techniques for early-stage skin cancer detection: Challenges and research gaps
Enthalten in Journal of intelligent systems Bd. 34, 2025, Nr. 1. 35 S.
Online Ressource
Artikel 5 Aerosol type classification with machine learning techniques applied to multiwavelength lidar data from EARLINET
Enthalten in Atmospheric chemistry and physics Bd. 25, 2025, Nr. 19: 12549-12567. 19 S.
Online Ressource
Artikel 6 Modelling seawater pCO<sub>2</sub> and pH in the Canary Islands region based on satellite measurements and machine learning techniques
Enthalten in EGUsphere 28.08.2025: 1-39. 39 S.
Online Ressource
Artikel 7 Enhancing Long-Term Reservoir Inflow Forecasting: An Integrated Approach Combining Switch Prediction Method, Ensemble Rainfall Forecasts, and Machine Learning Techniques
Enthalten in EGUsphere 04.07.2025: 1-33. 33 S.
Online Ressource
Artikel 8 Unstained Blood Smear Analysis: A Review of Rule‐Based, Machine Learning, and Deep Learning Techniques
Enthalten in Journal of biophotonics 30.06.2025. 22 S.
Online Ressource
Artikel 9 A comprehensive analysis of landslide susceptibility in Iyidere Basin (NE, Turkey) using machine learning techniques and statistical bivariate methods
Enthalten in Natural hazards 27.5.2025: 1-37
Online Ressource
Artikel 10 Comprehensive Review on the Use of Machine Learning Techniques Applied to the Ultrasound Data for the Characterisation of Porosity across Carbon Fibre Reinforced Polymer Layers
Enthalten in Applied composite materials 21.5.2025: 1-25
Online Ressource


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