|
1491 |
Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data
Enthalten in Scientific reports Bd. 14, 4.3.2024, Nr. 1, date:12.2024: 1-11
|
|
|
|
1492 |
Using Machine Learning Techniques to Test the Load Capacity Curve Hypothesis: A Classifier-Lasso Application on Global Panel Data
Enthalten in Biophysical economics and sustainability Bd. 10, 19.2.2025, Nr. 1, date:6.2025: 1-18
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|
|
|
1493 |
Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra
Enthalten in BMC bioinformatics Bd. 24, 9.1.2023, Nr. 1, date:12.2023: 1-15
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|
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|
1494 |
Utilizing contemporary machine learning techniques for determining soilcrete properties
Enthalten in Earth science informatics Bd. 18, 14.1.2025, Nr. 1, date:1.2025: 1-30
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|
1495 |
Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques
Enthalten in BMC bioinformatics Bd. 25, 27.3.2024, Nr. 1, date:12.2024: 1-17
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|
|
|
1496 |
VacPred: Sequence-based prediction of plant vacuole proteins using machine-learning techniques
Enthalten in Journal of biosciences Bd. 45, 27.8.2020, Nr. 1, date:12.2020: 1-9
|
|
|
|
1497 |
Various optimized machine learning techniques to predict agricultural commodity prices
Enthalten in Neural computing & applications Bd. 36, 16.4.2024, Nr. 19, date:7.2024: 11439-11459
|
|
|
|
1498 |
Vehicle-specific power-based emission modeling using unsupervised machine learning techniques
Enthalten in Environmental science and pollution research Bd. 32, 23.6.2025, Nr. 27, date:6.2025: 16120-16141
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|
|
|
1499 |
Versatile time-window sliding machine learning techniques for stock market forecasting
Enthalten in Artificial intelligence review Bd. 57, 16.7.2024, Nr. 8, date:8.2024: 1-20
|
|
|
|
1500 |
Vibration analysis for fault detection in wind turbines using machine learning techniques
Enthalten in Advances in computational intelligence Bd. 2, 10.1.2022, Nr. 1, date:2.2022: 1-12
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