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25441 |
Potential effects of projected global sea level rise on Sundarbans mangrove wetland ecosystem: insights from SLAMM and hybrid machine learning models
Enthalten in Environment, development and sustainability Bd. 27, 19.5.2025, Nr. 6, date:6.2025: 14879-14912
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25442 |
Potential identification of vitamin B6 responsiveness in autism spectrum disorder utilizing phenotype variables and machine learning methods
Enthalten in Scientific reports Bd. 8, 4.10.2018, Nr. 1, date:12.2018: 1-7
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25443 |
Potential of machine learning and WorldView-2 images for recognizing endangered and invasive species in the Atlantic Rainforest
Enthalten in Annals of forest science Bd. 78, 31.5.2021, Nr. 2, date:6.2021: 1-16
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25444 |
Potential of machine learning approaches for predicting mechanical properties of spruce wood in the transverse direction
Enthalten in Journal of wood science Bd. 69, 25.6.2023, Nr. 1, date:12.2023: 1-13
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25445 |
Potential of MR-based radiomics and optimized statistical machine learning in grading patients with glioma
Enthalten in The Egyptian Journal of Radiology and Nuclear Medicine Bd. 56, 17.3.2025, Nr. 1, date:12.2025: 1-12
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25446 |
Potential of quantum machine learning for solving the real-world problem of cancer classification
Enthalten in Discover applied sciences Bd. 6, 27.9.2024, Nr. 10, date:10.2024: 1-12
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25447 |
Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices
Enthalten in BMC bioinformatics Bd. 21, 14.12.2020, Nr. 17, date:12.2020: 1-19
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25448 |
Potential progression biomarkers of diabetic kidney disease determined using comprehensive machine learning analysis of non-targeted metabolomics
Enthalten in Scientific reports Bd. 12, 29.9.2022, Nr. 1, date:12.2022: 1-13
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25449 |
Potential shared mechanisms in atopic dermatitis and type 2 diabetes identified via transcriptomic and machine learning approaches
Enthalten in Scientific reports Bd. 14, 16.12.2024, Nr. 1, date:12.2024: 1-15
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25450 |
Potential suicide risk among the college student population: machine learning approaches for identifying predictors and different students’ risk profiles
Enthalten in Psicologia Bd. 37, 17.5.2024, Nr. 1, date:12.2024: 1-12
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