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12011 |
Virtual reality-assisted prediction of adult ADHD based on eye tracking, EEG, actigraphy and behavioral indices: a machine learning analysis of independent training and test samples
Enthalten in Translational Psychiatry Bd. 14, 31.12.2024, Nr. 1, date:12.2024: 1-10
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12012 |
Virtual reality (VR) as a testing bench for consumer optical solutions: a machine learning approach (GBR) to visual comfort under simulated progressive addition lenses (PALs) distortions
Enthalten in Virtual reality Bd. 28, 30.1.2024, Nr. 1, date:3.2024: 1-13
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12013 |
Virtual screening of anti-HIV1 compounds against SARS-CoV-2: machine learning modeling, chemoinformatics and molecular dynamics simulation based analysis
Enthalten in Scientific reports Bd. 10, 23.11.2020, Nr. 1, date:12.2020: 1-12
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12014 |
Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches
Enthalten in BMC complementary medicine and therapies Bd. 22, 3.8.2022, Nr. 1, date:12.2022: 1-19
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12015 |
Vision-based Propeller Damage Inspection Using Machine Learning
Enthalten in Embedded selforganising systems Bd. 10, 26.07.2023, Nr. 7
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12016 |
Visual acuity prediction on real-life patient data using a machine learning based multistage system
Enthalten in Scientific reports Bd. 14, 6.3.2024, Nr. 1, date:12.2024: 1-18
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12017 |
Visualization obesity risk prediction system based on machine learning
Enthalten in Scientific reports Bd. 14, 28.9.2024, Nr. 1, date:12.2024: 1-9
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12018 |
Visualization of hydrocarbon chain length and degree of saturation of fatty acids in mouse livers by combining near-infrared hyperspectral imaging and machine learning
Enthalten in Scientific reports Bd. 13, 23.11.2023, Nr. 1, date:12.2023: 1-10
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12019 |
ViT-SENet-Tom: machine learning-based novel hybrid squeeze–excitation network and vision transformer framework for tomato fruits classification
Enthalten in Neural computing & applications Bd. 37, 20.1.2025, Nr. 9, date:3.2025: 6583-6600
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12020 |
VNIR–SWIR reflectance spectroscopy as a nondestructive technique for compositional determination of archaeological talc samples with a machine learning approach
Enthalten in Archaeological and anthropological sciences Bd. 16, 4.6.2024, Nr. 7, date:7.2024: 1-15
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Administration
