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Detection of kidney bean leaf spot disease based on a hybrid deep learning model
Published 2025-04-01“…Based on this dataset, a novel hybrid deep learning model framework is proposed, which integrates deep learning models (EfficientNet-B7, MobileNetV3, ResNet50, and VGG16) for feature extraction with machine learning algorithms (Logistic Regression, Random Forest, AdaBoost, and Stochastic Gradient Boosting) for classification. …”
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Burnout protective patterns among oncology nurses: a cross-sectional study using machine learning analysis
Published 2025-07-01Get full text
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Enhanced water saturation estimation in hydrocarbon reservoirs using machine learning
Published 2025-08-01Get full text
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Redefining customer connections in the UAE’s digital era: A study on emerging technological synergies
Published 2025-06-01Get full text
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SAC-Based Intelligent Load Relief Attitude Control Method for Launch Vehicles
Published 2025-02-01Get full text
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Identifying the Peak Flowering Dates of Winter Rapeseed with a NBYVI Index Using Sentinel-1/2
Published 2025-03-01Get full text
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Intelligent Detection and Recognition of Marine Plankton by Digital Holography and Deep Learning
Published 2025-04-01Get full text
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The role of machine learning in infectious disease early detection and prediction in the MENA region: A systematic review
Published 2025-01-01“…Random Forest algorithms demonstrated superior performance in disease outbreak prediction, with mean ACC scores of 0.85. …”
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DIODEM – A Diverse Inertial and Optical Dataset of kinEmatic chain Motion
Published 2025-07-01“…The dataset enables researchers to systematically study individual and combined IMT challenges, facilitating algorithm development for applications ranging from biomechanics to autonomous systems.…”
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The Efficiency of Complex Differential Treatment of the Patients with Systemic Lupus Erythematous Considering the Features of Bone Tissue Structure Remodeling
Published 2020-04-01“…The evaluation of the application forms of LQ proves this fact. A general score of the patients of research group has increased up to 37.93 % versus 3.19 % for the women of research group, the same has a complex objective evaluation of the results of treatment by the doctors and researchers: the patients out of research group experienced a positive result of treatment more often while the ones out of comparison group -satisfactory and negative. …”
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Mortality impact, risks, and benefits of general population screening for ovarian cancer: the UKCTOCS randomised controlled trial
Published 2023-05-01“…The volunteers were placed into one of three groups at random: The blood test group contained 50,640 women who had yearly CA125 blood tests. …”
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