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35481 |
The Use of Fitness-Fatigue Models for Sport Performance Modelling: Conceptual Issues and Contributions from Machine-Learning
Enthalten in Sports medicine - open Bd. 8, 3.3.2022, Nr. 1, date:12.2022: 1-6
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35482 |
The use of hybrid machine learning models for improving the GALDIT model for coastal aquifer vulnerability mapping
Enthalten in Environmental earth sciences Bd. 81, 1.8.2022, Nr. 15, date:8.2022: 1-15
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35483 |
The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after stroke
Enthalten in Journal of neuroEngineering and rehabilitation Bd. 20, 27.1.2023, Nr. 1, date:12.2023: 1-18
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35484 |
The Use of Machine Learning for Predicting Complications of Free-Flap Head and Neck Reconstruction
Enthalten in Annals of surgical oncology Bd. 30, 31.1.2023, Nr. 4, date:4.2023: 2343-2352
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35485 |
The Use of Machine Learning for Predicting Complications of Free Flap Head and Neck Reconstruction: Caution Needed
Enthalten in Annals of surgical oncology Bd. 30, 30.3.2023, Nr. 7, date:7.2023: 4232-4233
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35486 |
The use of machine learning in process–structure–property modeling for material extrusion additive manufacturing: a state-of-the-art review
Enthalten in Associação Brasileira de Engenharia e Ciências Mecânicas: Journal of the Brazilian Society of Mechanical Sciences and Engineering Bd. 46, 11.1.2024, Nr. 2, date:2.2024: 1-24
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35487 |
The use of machine learning in rare diseases: a scoping review
Enthalten in Orphanet journal of rare diseases Bd. 15, 9.6.2020, Nr. 1, date:12.2020: 1-10
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35488 |
The Use of Machine Learning in the Analytical Control of the Preparations of Medicinal Plants
Enthalten in Inorganic materials Bd. 55, 25.2.2020, Nr. 14, date:12.2019: 1428-1438
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35489 |
The use of machine learning methods in classification of pumpkin seeds (Cucurbita pepo L.)
Enthalten in Genetic resources and crop evolution Bd. 68, 25.6.2021, Nr. 7, date:10.2021: 2713-2726
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35490 |
The use of machine learning modeling, virtual screening, molecular docking, and molecular dynamics simulations to identify potential VEGFR2 kinase inhibitors
Enthalten in Scientific reports Bd. 12, 5.11.2022, Nr. 1, date:12.2022: 1-14
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