Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Material Type: Standards
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Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across PlacentaAccess, IEEE, 2023, Vol.11, p.52726-527392013 IEEE ;DOI: 10.1109/ACCESS.2023.3272987Full text available |
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2 |
Material Type: Standards
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The ElectroUteroGraph: A Novel Tool for Assessing Uterine Contractions of Non-Pregnant WomenEngineering in Medicine and Biology, IEEE Open Journal of, 2022, Vol.3, p.34-402020 IEEE ;DOI: 10.1109/OJEMB.2022.3159097Full text available |
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3 |
Material Type: Standards
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A Deep Learning Framework Design for Automatic Blastocyst Evaluation With Multifocal ImagesAccess, IEEE, 2021, Vol.9, p.18927-189342013 IEEE ;DOI: 10.1109/ACCESS.2021.3053098Full text available |
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4 |
Material Type: Standards
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A SWOT Analysis of Human- and Machine Learning- Based Embryo AssessmentAccess, IEEE, 2020, Vol.8, p.227466-2274812013 IEEE ;DOI: 10.1109/ACCESS.2020.3045772Full text available |
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5 |
Material Type: Standards
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Down Syndrome Prediction Using a Cascaded Machine Learning Framework Designed for Imbalanced and Feature-correlated DataAccess, IEEE, 2019, Vol.7, p.97582-975932013 IEEE ;DOI: 10.1109/ACCESS.2019.2929681Full text available |