Showing 1,561 - 1,580 results of 5,575 for search '"Machine learning"', query time: 0.10s Refine Results
  1. 1561

    Brain mapping, biomarker identification and using machine learning method for diagnosis of anxiety during emotional face in preschool children by Samira Jafari, Hamid Sharini, Aliakbar Foroughi, Afshin Almasi

    Published 2025-02-01
    “…The fMRI biomarkers (FC) were given to machine learning models as input features to diagnose anxiety in children for angry and fearful conditions. …”
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  2. 1562
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    Estimation of the Compressive Strength of Self-Compacting Concrete (SCC) by a Machine Learning Technique Coupling with Novel Optimization Algorithms by Ling Chen, Wengang Jiang

    Published 2023-03-01
    “…This research aims to model the CS of SCC via a machine learning technique of Support Vector Regression (SVR). …”
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  6. 1566

    Identification of biomarkers associated with coronary artery disease and non-alcoholic fatty liver disease by bioinformatics analysis and machine learning by Chuan Lu, Mei Han, Qiqi Ma, Li Ying, Yue Zhang

    Published 2025-01-01
    “…The candidate biomarkers were screened from intersection of machine learning in GSE89632, including CEBPA, CXCL2, JUN and FOXO1. …”
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  7. 1567

    Enhancing Fault Detection and Classification in MMC-HVDC Systems: Integrating Harris Hawks Optimization Algorithm with Machine Learning Methods by Omar Hazim Hameed Hameed, Uğurhan Kutbay, Javad Rahebi, Fırat Hardalaç, Ibrahim Mahariq

    Published 2024-01-01
    “…Voltage and current features are extracted and optimized using a metaheuristic approach, specifically Harris Hawk’s optimization method. Leveraging machine learning (ML) and artificial neural networks (ANN), this technique demonstrates its effectiveness in generating a fault locator with exceptional accuracy. …”
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    Seismic Fragility Analysis of the Reinforced Concrete Continuous Bridge Piers Based on Machine Learning and Symbolic Regression Fusion Algorithms by Hanbo Zhu, Changqing Miao

    Published 2021-01-01
    “…Firstly, the existing 46 types of ground motion intensity measures were taken as a candidate set, and the composite intensity measures (IMs) based on machine learning methods were selected and constructed. …”
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    A Detailed Study on Algorithms for Predictive Maintenance in Smart Manufacturing: Chip Form Classification Using Edge Machine Learning by Alessia Lazzaro, Doriana Marilena D'Addona, Massimo Merenda

    Published 2024-01-01
    “…To simulate this paradigm, the chosen machine learning models were deployed on STM microcontrollers obtaining both high accuracy (98%) and an inference time in the order of milliseconds.…”
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    FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

    Published 2025-01-01
    “…Current imaging techniques allow us to visualize these critical remodeling events and developments in image analysis have employed a combination of analysis software and machine learning techniques to improve the efficiency and accuracy with which features are measured. …”
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    Novel machine learning algorithm in risk prediction model for pan-cancer risk: application in a large prospective cohort by Chi-Pang Wen, Xifeng Wu, Qingfeng Hu, Huakang Tu, Shan Pou Tsai, David Ta-Wei Chu

    Published 2024-07-01
    “…Objective To develop and validate machine-learning models that predict the risk of pan-cancer incidence using demographic, questionnaire and routine health check-up data in a large Asian population.Methods and analysis This study is a prospective cohort study including 433 549 participants from the prospective MJ cohort including a male cohort (n=208 599) and a female cohort (n=224 950).Results During an 8-year median follow-up, 5143 cancers occurred in males and 4764 in females. …”
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