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10801 |
Performance of machine learning methods for cattle identification and recognition from retinal images
Enthalten in Applied intelligence Bd. 55, 15.3.2025, Nr. 7, date:5.2025: 1-20
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10802 |
Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)
Enthalten in Applied water science Bd. 11, 6.11.2021, Nr. 12, date:12.2021: 1-20
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10803 |
Performance of machine learning models for predicting high-severity symptoms in multiple sclerosis
Enthalten in Scientific reports Bd. 15, 25.5.2025, Nr. 1, date:12.2025: 1-12
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10804 |
Performance of machine learning models in estimation of ground reaction forces during balance exergaming
Enthalten in Journal of neuroEngineering and rehabilitation Bd. 19, 13.2.2022, Nr. 1, date:12.2022: 1-12
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10805 |
Performance of machine learning models in predicting difficult laryngoscopy in the emergency department: a single-centre retrospective study comparing with conventional regression method
Enthalten in BMC emergency medicine Bd. 25, 21.2.2025, Nr. 1, date:12.2025: 1-15
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10806 |
Performance of machine learning software to classify breast lesions using BI-RADS radiomic features on ultrasound images
Enthalten in European radiology experimental Bd. 3, 5.8.2019, Nr. 1, date:12.2019: 1-8
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10807 |
Performance of statistical and machine learning-based methods for predicting biogeographical patterns of fungal productivity in forest ecosystems
Enthalten in Forest ecosystems Bd. 8, 15.3.2021, Nr. 1, date:12.2021: 1-14
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10808 |
Performance of traditional and machine learning-based transformation models for undrained shear strength
Enthalten in Arabian journal of geosciences Bd. 16, 16.2.2023, Nr. 3, date:3.2023: 1-18
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10809 |
Performance prediction and enhancement of 5G networks based on linear regression machine learning
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2023, 10.8.2023, Nr. 1, date:12.2023: 1-34
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10810 |
Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches
Enthalten in Scientific reports Bd. 15, 4.2.2025, Nr. 1, date:12.2025: 1-29
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