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1 |
Sustainable prediction of compression index in fine-grained soils using machine learning techniques
Enthalten in Open Geosciences Bd. 18, 2026, Nr. 1. 19 S.
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2 |
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
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3 |
Evaluating Recycling Initiatives for Landfill Diversion in Developing Economies Using Integrated Machine Learning Techniques
Adedara, Muyiwa Lawrence. - Kiel : Universitätsbibliothek Kiel, 2025
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4 |
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
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5 |
TiAlNb alloy interatomic potentials: comparing passive and active machine learning techniques with MTP and DeePMD
Chandran, Anju. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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6 |
Modeling density of carbon dioxide-saturated polyethylene glycol using machine learning techniques
Enthalten in Journal of polymer engineering Bd. 45, 2025, Nr. 8: 660-673. 14 S.
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7 |
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.
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8 |
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.
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9 |
Prediction of Rotary Drilling Rate of Penetration in Surface Mines Using Machine Learning Techniques
Enthalten in Rock mechanics and rock engineering 3.11.2025: 1-31
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10 |
Application of Surface-Enhanced Raman Spectroscopy and Machine Learning Omics Techniques in the Progression Assessment of Autosomal Dominant Polycystic Kidney Disease
Enthalten in Kidney diseases Bd. 11, 2025, Nr. 1: 772-783. 12 S.
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