Showing 1 - 20 results of 846 for search 'algorithms for evaluation the quality of (applications OR application)', query time: 0.30s Refine Results
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    Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

    Published 2025-07-01
    “…However, selecting the most effective ML model remains challenging due to performance variability, scalability constraints, and inconsistent evaluation metrics across manufacturing sectors. This systematic review analyzes over 300 peer-reviewed studies over the last two decades (mostly analyzing the recent works) to evaluate the effectiveness of widely used ML algorithms—Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), Random Forests (RFs), Decision Trees (DTs), and K-Nearest Neighbors (KNN)—in QA applications. …”
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    Algorithm for Calculating the Parameters of a Garden Boom Sprayer for Pesticide Application by I. G. Smirnov, G. I. Lichman, L. A. Marchenko

    Published 2022-12-01
    “…(Research purpose) To develop an algorithm for calculating the parameters of a boom garden sprayer when treating fruit plants with pesticides, to ensure their high-quality application, reduce losses and eliminate the risks of environmental pollution. …”
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    Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios by Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu

    Published 2021-01-01
    “…To improve the operational efficiency of complex data quality management algorithms in large-scale data scenarios, corresponding parallelization algorithms are studied and implemented for detection and repair algorithms with long computation time, including priority-based multiconditional function-dependent detection and repair algorithms, entity detection, and extraction algorithms based on semantic information and chunking techniques, and plain Bayesian-based missing value filling algorithms, and this paper proposes a data validity evaluation algorithm and enhances the validity of the original data in practical applications by adding temporal weights, and finally it passed the experimental validation. …”
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    APPLICATION OF THE WORD2VEC ALGORITHM FOR CLINICAL DIAGNOSIS DETERMINATION by Uzeyir Gurbanli

    Published 2025-02-01
    “…It also focuses on evaluating the quality of diagnostic and treatment processes through applıcation of different methods and practical application. …”
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