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backing algorithm » tracking algorithm (Expand Search), making algorithm (Expand Search), tracking algorithms (Expand Search)
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backing algorithm » tracking algorithm (Expand Search), making algorithm (Expand Search), tracking algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
develop based » developed based (Expand Search), develop masld (Expand Search), development based (Expand Search)
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Data and Scripts for 'A Predictive Model for Attention-deficit/hyperactivity Disorder and Its Subtypes in Children: A Back-propagation Neural Network Optimized with Genetic Algorithms Based on Multidimensional Cognitive Ability Tests'
Published 2024“…The present study recruited 316 children aged 6 to 14 years, including 98 with the inattentive subtype, 80 with the combined subtype, and 138 typically developing controls. Using <a href="" target="_blank">multidimensional cognitive ability tests</a> and a <a href="" target="_blank">back-propagation neural network</a> optimized by a genetic algorithm, this study developed a computer-aided diagnostic model to distinguish children with attention-deficit/hyperactivity disorder and its specific subtypes. …”
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Table 1_Association of weight-adjusted waist index and body mass index with chronic low back pain in American adults: a retrospective cohort study and predictive model development based on machine learning algorithms (NHANES 2009–2010).docx
Published 2025“…Objective<p>This study utilized National Health and Nutrition Examination Survey (NHANES) data to investigate the associations between weight-adjusted waist index (WWI), body mass index (BMI), and chronic low back pain (CLBP) risk, and to develop machine learning models to assess the predictive capacity of WWI for CLBP.…”
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Data and Scripts for 'Application of Multidimensional Cognitive Ability Tests in Computer-Assisted Diagnosis of Attention-Deficit/Hyperactivity Disorder and Its Subtypes in Children: Based on A Genetic Algorithm Optimized Back-Propagation Neural Network Predictive Model'
Published 2024“…The present study recruited 316 children aged 6 to 14 years, including 98 with the inattentive subtype, 80 with the combined subtype, and 138 typically developing controls. Using <a href="" target="_blank">multidimensional cognitive ability tests</a> and a <a href="" target="_blank">back-propagation neural network</a> optimized by a genetic algorithm, this study developed a computer-aided diagnostic model to distinguish children with attention-deficit/hyperactivity disorder and its specific subtypes. …”
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Developed energy optimization model with LSC based on OAWDO algorithm.
Published 2024“…<p>Developed energy optimization model with LSC based on OAWDO algorithm.…”
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Overview of research steps including the comparison of CARAIB (climate-driven potential natural vegetation) and REVEALS (pollen-based vegetation reconstruction) data, the development and upgrade of the HUMLAND ABM, its integration with a genetic algorithm, and the generation of scenarios to quantify the impacts of Neanderthals, Mesolithic population, megafauna, natural fires, and climate on vegetation.
Published 2025“…<p>Overview of research steps including the comparison of CARAIB (climate-driven potential natural vegetation) and REVEALS (pollen-based vegetation reconstruction) data, the development and upgrade of the HUMLAND ABM, its integration with a genetic algorithm, and the generation of scenarios to quantify the impacts of Neanderthals, Mesolithic population, megafauna, natural fires, and climate on vegetation.…”
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Augmentation levels with back-translation.
Published 2024“…<div><p>Over the last ten years, social media has become a crucial data source for businesses and researchers, providing a space where people can express their opinions and emotions. …”
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Element model generation method with geometric distribution errors
Published 2025“…<p dir="ltr">In this study, a novel mesh model with geometrically distributed errors was developed. The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”
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Convergence curve of the DBO algorithm.
Published 2025“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. …”
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