Výsledky vyhledávání - "machine learning regression algorithms"

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  1. 1

    Comparison of machine learning regression algorithms for foot placement prediction Autor Chen, Xinxing, Liu, Zijian, Zhu, Jiale, Zhang, Kuangen, Leng, Yuquan, Fu, Chenglong

    Vydáno: IEEE 26.11.2021
    “… This paper investigated three machine learning regression algorithms for foot placement prediction…”
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  2. 2

    Quantifying performance of machine learning methods for neuroimaging data Autor Jollans, Lee, Boyle, Rory, Artiges, Eric, Banaschewski, Tobias, Desrivières, Sylvane, Grigis, Antoine, Martinot, Jean-Luc, Paus, Tomáš, Smolka, Michael N., Walter, Henrik, Schumann, Gunter, Garavan, Hugh, Whelan, Robert

    ISSN: 1053-8119, 1095-9572, 1095-9572
    Vydáno: United States Elsevier Inc 01.10.2019
    Vydáno v NeuroImage (Orlando, Fla.) (01.10.2019)
    “… Consequently, the relative efficacy of different machine learning regression algorithms for different types of neuroimaging data are not known…”
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    Journal Article
  3. 3

    GROUNDED EO: Data-driven Sentinel-2 LAI and FAPAR retrieval using Gaussian processes trained with extensive fiducial reference measurements Autor Brown, Luke A., Fernandes, Richard, Verrelst, Jochem, Morris, Harry, Djamai, Najib, Reyes-Muñoz, Pablo, D.Kovács, Dávid, Meier, Courtney

    ISSN: 0034-4257
    Vydáno: Elsevier Inc 15.08.2025
    Vydáno v Remote sensing of environment (15.08.2025)
    “…Due to their importance in monitoring and modelling Earth's climate, the Global Climate Observing System (GCOS) designates leaf area index (LAI) and the…”
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  4. 4

    Cointegration strategy for damage assessment of offshore platforms subject to wind and wave forces Autor Kuai, H., Civera, M., Coletta, G., Chiaia, B., Surace, C.

    ISSN: 0029-8018, 1873-5258
    Vydáno: Elsevier Ltd 15.07.2024
    Vydáno v Ocean engineering (15.07.2024)
    “…In structural engineering, offshore structures are undoubtedly among the most exposed to the effects of harsh environmental conditions. The external conditions…”
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  5. 5

    A novel framework for automated water level estimation using CCTV imagery in Yongseong Agricultural Reservoir, South Korea Autor Kwon, Soon Ho, Lim, Suhyun, Lee, Seungyub

    ISSN: 2214-5818, 2214-5818
    Vydáno: Elsevier B.V 01.10.2025
    “… The method integrates a U-Net-based water-body segmentation model with four machine learning regression algorithms…”
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  6. 6

    Radiomics and machine learning applied to STIR sequence for prediction of quantitative parameters in facioscapulohumeral disease Autor Colelli, Giulia, Barzaghi, Leonardo, Paoletti, Matteo, Monforte, Mauro, Bergsland, Niels, Manco, Giulia, Deligianni, Xeni, Santini, Francesco, Ricci, Enzo, Tasca, Giorgio, Mira, Antonietta, Figini, Silvia, Pichiecchio, Anna

    ISSN: 1664-2295, 1664-2295
    Vydáno: Switzerland Frontiers Media S.A 24.02.2023
    Vydáno v Frontiers in neurology (24.02.2023)
    “… We applied and compared three different radiomics workflows ( ), combined with seven Machine Learning regression algorithms…”
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  7. 7

    Machine Learning Methods of Regression for Plasmonic Nanoantenna Glucose Sensing Autor Corcione, Emilio, Pfezer, Diana, Hentschel, Mario, Giessen, Harald, Tarín, Cristina

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 21.12.2021
    Vydáno v Sensors (Basel, Switzerland) (21.12.2021)
    “…The measurement and quantification of glucose concentrations is a field of major interest, whether motivated by potential clinical applications or as a prime…”
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  8. 8

    Prediction of Subjective Refraction From Anterior Corneal Surface, Eye Lengths, and Age Using Machine Learning Algorithms Autor Espinosa, Julián, Pérez, Jorge, Villanueva, Asier

    ISSN: 2164-2591, 2164-2591
    Vydáno: United States The Association for Research in Vision and Ophthalmology 01.04.2022
    “… Measurements from 355 eyes were split into training (75%) and test (25%) sets. Different machine learning regression algorithms were trained by 10-fold cross-validation, optimized, and tested…”
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  9. 9

    Prediction of East Asian Brain Age using Machine Learning Algorithms Trained With Community-based Healthy Brain MRI Autor Simfukwe, Chanda, Youn, Young Chul

    ISSN: 2384-0757, 2384-0757
    Vydáno: 01.10.2022
    Vydáno v Dementia and neurocognitive disorders (01.10.2022)
    “… Therefore, we trained machine learning models that predict the brain age gap of healthy subjects in the East Asian population using T1 brain MRI volume…”
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    Journal Article
  10. 10

    Prediction of East Asian Brain Age using Machine Learning Algorithms Trained With Community-based Healthy Brain MRI Autor Chanda Simfukwe, Young Chul Youn

    ISSN: 1738-1495, 2384-0757
    Vydáno: 2022
    “…/) to collect the brain volume data. We trained the models using different supervised machine learning regression algorithms from the scikit-learn (https://scikit-learn.org…”
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  11. 11

    Quarantined-subject monitoring and indoor positioning with anti-absconding artificial intelligence (Project BANTAY) Autor Ara, Derwin P., Marcaida, Aljohn Ric C., Seangoy, Arnold Ceigfred E., Pimentel, Angelino A.

    Vydáno: IEEE 16.12.2022
    “… Quarantined subjects were monitored manually, and patients tended to abscond or "run away." In the Philippines, there was a lack of research and the absence of similar technology commercially available related to this matter…”
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  12. 12

    Calculation of Mutual Inductance between Two Planar Coils with Custom Specifications and Positions Using a Machine Learning Approach Autor Asadi, Mahdi, Ali Rezaei, Ali x, Abazari, Amir Musa

    ISSN: 3023-5332, 3023-5332
    Vydáno: 01.12.2023
    “… These datasets are used to train machine learning regression algorithms, including linear regression, support…”
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  13. 13

    Assessing The Relevance Of Neurophysiological Patterns To Predict Motor Imagery-based BCI Users' Performance Autor Tzdaka, Eidan, Benaroch, Camille, Jeunet, Camille, Lotte, Fabien

    ISSN: 2577-1655
    Vydáno: IEEE 11.10.2020
    “…Motor Imagery-based Brain-Computer Interfaces (MI-BCI) allow users to control a computer for various applications using their brain activity alone, which is…”
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  14. 14

    Non-Invasive Cardiovascular Health Monitoring for Patients with Heart Failure Using Seismocardiography Autor Shandhi, Mobashir Hasan

    ISBN: 9798263391546
    Vydáno: ProQuest Dissertations & Theses 01.01.2020
    “…Heart failure (HF) is the leading cause of hospitalization and hospital readmission for patients aged over 65 and older in the United States, with roughly one…”
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    Dissertation