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Feature selection‐based android malware adversarial sample generation and detection method
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Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi...
Published 2025-06-01“…Boruta algorithm identified 9 confirmed variables, 3 tentative variables, and 30 rejected variables. …”
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303
Enhancing Education with Machine Learning: Predicting Student Readability Scores
Published 2025-06-01“…This study explores the use of machine learning techniques to predict students' reading scores, with a particular focus on Random Forest Classification (RFC) as a reliable baseline model. The research leverages a dataset of 1,000 English texts to evaluate and compare the performance of RFC, the Sooty Tern Optimization Algorithm (STOA), and the Gold Rush Optimizer (GRO) in predicting readability ratings. …”
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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery.
Published 2024“…This study, titled "Enhancing Attendance Management through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery," aimed to develop a more accurate and efficient solution using Local Binary Pattern Histogram and Convolutional Neural Networks algorithms to automate attendance tracking.A mixed-method approach was employed, combining system testing with user feedback from administrators, staff, and students. …”
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Measuring mortality due to HIV-associated tuberculosis among adults in South Africa: Comparing verbal autopsy, minimally-invasive autopsy, and research data.
Published 2017-01-01“…Verbal autopsy (VA) is used to estimate cause of death (CoD) patterns but has mostly been validated against a suboptimal gold standard for HIV and TB. …”
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307
PCA-GWO-KELM Optimization Gait Recognition Indoor Fusion Localization Method
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Overcoming negative weighting in uncertainty-based methods: a multi-uncertainty clustering method for evidence fusion
Published 2025-07-01“…These selected measures are calculated for evidence sources and then input into an improved K-Means algorithm for evidence clustering. For each formed evidence cluster, average evidence is generated to enhance the expression of intra-cluster common features. …”
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Co-occurrence of sudden feeding behaviour deviations and welfare issue onsets in growing-finishing pigs
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312
Accelerated preprocessing in task of searching substrings in a string
Published 2019-10-01“…The results obtained enable to substantially shorten the time intervals spent on the preelection processing of a set of pattern strings when using an integer alphabet. The paper lists eight algorithms. …”
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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer
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A novel Probabilistic Bi-Level Teaching–Learning-Based Optimization (P-BTLBO) algorithm for hybrid feature extraction and multi-class brain tumor classification using ResNet-50 and...
Published 2025-07-01“…Experimental findings indicate that the P-BTLBO algorithm surpasses conventional optimization methods, including TLBO and PSO, regarding classification accuracy, feature subset size, and computational efficiency. …”
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A computational DNA methylation method to remove contaminated DNA from spent embryo culture medium for noninvasive preimplantation genetic testingResearch in context
Published 2025-04-01“…To investigate this, we retrieved single-cell-resolution DNA methylation data from oocytes (n = 33), inner cell masses (ICMs, n = 74), TEs (n = 71) and sperm cells (n = 21), bulk DNA methylation data from cumulus cells, and DNA methylation data from SECM samples (n = 194) from our previously published database, and conducted a comparative analysis of DNA methylation patterns among them. Then, we constructed a decontamination algorithm based on single read and applied it to remove contamination originating from cumulus cells, polar bodies, and sperm cells. …”
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Identifying and visualising temporal trajectories of hospitalisations for traditional and non-traditional complications in people with type 2 diabetes: a population-based studyRese...
Published 2025-04-01“…Funding: Direct Grant for Research from The Chinese University of Hong Kong.…”
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Codebook Design for Parallel Dynamic Subarrays in Millimeter Wave Massive MIMO Systems
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Neural Networks Method in modeling of the financial company’s performance
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A comparative study of convolutional neural networks and traditional feature extraction techniques for adulteration detection in ground beef
Published 2025-06-01“…In order to identify the most appropriate feature extraction algorithm and classify samples having various levels of adulteration, Local Binary Pattern (LBP), Gray Level Co-occurrence Matrixes (GLCM) and Gabor filter were compared. …”
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