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  1. 5421
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    Assessment of using transfer learning with different classifiers in hypodontia diagnosis by Tansel Uyar, Didem Sakaryalı Uyar

    Published 2025-01-01
    “…Pretrained convolutional neural network models (AlexNet, DarkNet-19, DarkNet-53, DenseNet-201, EfficientNet, GoogLeNet, InceptionV3, IncResV2, MobileNetV2, NasNet-Mobile, Places365, ResNet-18, ResNet-50, ResNet-101, ShuffleNet, SqueezeNet, VGG-16, VGG-19, and Xception) were used for training with the fine-tuning method and different machine learning classifiers (decision trees, discriminant analysis, logistic regression, naive Bayes, support vector machines, nearest neighbor, ensemble method, and artificial neural network). The dataset was divided into 80% for training and 20% for testing. …”
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    Determinants of traditional Korean medicine utilization by individuals with physical disabilities: inference of causal relationships using Korea health panel data by Chihyoung Son, Jong-hyun Kim, Eunkyung Yoon, Eunji Ahn, Minjung Park, Dongsu Kim

    Published 2025-01-01
    “…Methods The study utilized a dataset from the Korea Health Panel (KHP) version 1.7, from the years 2008 to 2018. …”
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  6. 5426

    Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

    Published 2025-02-01
    “…We applied two feature selection methods, Sequential Backward Feature Selection (SBFS) and Analysis of Variance (ANOVA) to extract significant proteins from a dataset of 146  proteins. The data was collected from the plasma of 566 individuals, comprising both Alzheimer’s patients and healthy controls. …”
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    Longitudinal Assessment of Abnormal Cortical Folding in Fetuses and Neonates With Isolated Non‐Severe Ventriculomegaly by Andrea Urru, Oualid Benkarim, Gerard Martí‐Juan, Nadine Hahner, Gemma Piella, Elisenda Eixarch, Miguel A. González Ballester

    Published 2025-01-01
    “…Method We used a longitudinal dataset of 30 subjects (15 healthy controls and 15 subjects diagnosed with isolated non‐severe VM (INSVM)) with structural MRI acquired in and ex utero for each subject. …”
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    Beyond averages: dissecting urban-rural disparities in skilled antenatal care utilization in Bangladesh - a conway-maxwell-poisson regression analysis by Md. Muddasir Hossain Akib, Farzana Afroz, Bikash Pal

    Published 2025-02-01
    “…Methods For this purpose, a nationally representative secondary dataset from the Bangladesh Demographic and Health Survey (BDHS, 2017-18) has been considered. …”
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  19. 5439

    Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

    Published 2025-01-01
    “…However, we also uncover critical challenges, including a lack of standardized evaluation metrics, prevalent overfitting problems, and limited dataset sizes, that hinder the field’s progress. To address these, we propose a comprehensive set of evaluation metrics and emphasize the need for larger and more diverse datasets. …”
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