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  1. 1001
    Predicting therapy outcome in a digital mental health intervention for depression and anxiety: A machine learning approach
    “... to investigate the performance of machine learning-based predictions within digital mental health interventions...”
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  2. 1002
    Enhanced Performance of PAM7 MISO Underwater VLC System Utilizing Machine Learning Algorithm Based on DBSCAN
    “...-based spatial clustering of applications with noise (DBSCAN) of a machine learning method is employed...”
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  3. 1003
    Postsurgery Classification of Best-Corrected Visual Acuity Changes Based on Pterygium Characteristics Using the Machine Learning Technique
    “..., and redness. The innovation of machine learning technology in visual science may contribute to developing a...”
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  4. 1004
    Speciation and milk adulteration analysis by rapid ambient liquid MALDI mass spectrometry profiling using machine learning
    “..., this method is coupled with user-friendly machine-learning software. First, rapid speciation of milk (cow...”
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  5. 1005
    Identifying metastatic ability of prostate cancer cell lines using native fluorescence spectroscopy and machine learning methods
    “... native fluorescence (NFL) spectroscopy along with machine learning (ML) to differentiate prostate cancer...”
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  6. 1006
    Meta-analysis cum machine learning approaches address the structure and biogeochemical potential of marine copepod associated bacteriobiomes
    “... in biogeochemical cycles. For this, machine-learning models and PICRUSt2 analysis were deployed to analyse 16S rDNA...”
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  7. 1007
    Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach
    Materias: “...Data-driven Machine Learning Approach...”
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  8. 1008
    A machine learning aided interpretable model for rupture strength prediction in Fe-based martensitic and austenitic alloys
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  9. 1009
    Laser-induced breakdown spectroscopy coupled with machine learning as a tool for olive oil authenticity and geographic discrimination
    “...) assisted by machine learning is used for the classification of 139 virgin olive oils in terms...”
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  10. 1010
    Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram
    “... requires hospital admission. Here the authors report a machine learning-based system based exclusively...”
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  11. 1011
    Machine learning application for the prediction of SARS-CoV-2 infection using blood tests and chest radiograph
    “... of COVID-19 in resource-scarce countries. In this study, we applied machine learning (ML) to the task...”
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  12. 1012
    Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach
    Materias: “...unsupervised machine learning...”
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  13. 1013
    Prediction of Liver Weight Recovery by an Integrated Metabolomics and Machine Learning Approach After 2/3 Partial Hepatectomy
    Materias: “...machine learning...”
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  14. 1014
    Discovery of Cellular Unit Cells With High Natural Frequency and Energy Absorption Capabilities by an Inverse Machine Learning Framework
    Materias: “...machine learning...”
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  15. 1015
    Assessment of soil fertility degradation affected by mining disturbance and land use in a coalfield via machine learning
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  16. 1016
    Aboveground biomass estimation of black locust planted forests with aspect variable using machine learning regression algorithms
    Materias: “...Machine learning algorithms...”
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  17. 1017
    A comparative study on machine learning-based classification to find photothrombotic lesion in histological rabbit brain images
    Materias: “...machine learning...”
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  18. 1018
    Gutter oil detection for food safety based on multi-feature machine learning and implementation on FPGA with approximate multipliers
    por Wei Jiang, Yuhanxiao Ma, Ruiqi Chen
    Publicado 2021
    Materias: “...Machine learning...”
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  19. 1019
    Temporal-Spatial Soil Moisture Estimation from CYGNSS Using Machine Learning Regression With a Preclassification Approach
    “.... In this article, the global SM is estimated using machine learning (ML) regression aided by a preclassification...”
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  20. 1020
    Diagnosis of breast masses from dynamic contrast-enhanced and diffusion-weighted MR: a machine learning approach.
    “... of each lesion, which was obtained by a semi-automated segmentation method. Classical machine learning...”
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