Showing 1 - 20 results of 846 for search 'algorithms for (evaluating OR evaluation) the quality of (applications OR application)', query time: 0.29s Refine Results
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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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    Applicability Evaluation of Provincial Precipitation Real-time Analysis Product in Beijing by Zhao Wenfang, Wang Huiying, Meng Huifang, Miao Yupeng, Huang Mingming, Fan Min, Tang Wei

    Published 2024-05-01
    “…In September 2022, National Meteorological Information Center issues a provincial multi-source fusion real-time analysis system to promote the collaborative application of precipitation analysis in different provinces. …”
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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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    Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street by Tianning Yao, Yao Xu, Liang Sun, Pan Liao, Jin Wang

    Published 2024-08-01
    “…The study proposes a comprehensive and applicable spatial quality evaluation model integrating spatial quantification methods, machine learning algorithms, and multidimensional perception measurements. …”
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    Performance Evaluation of Localization Algorithms for WSNs by C. Vargas-Rosales, J. Mass-Sanchez, E. Ruiz-Ibarra, D. Torres-Roman, A. Espinoza-Ruiz

    Published 2015-03-01
    “…In this paper performance of localization algorithms such as range-free, range-based, and fuzzy-based decision is evaluated. …”
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    Improving AOD Algorithm Evaluation: A Spatial Matching Method for Minimizing Quality Control Bias by Bailin Du, Bo Zhong, He Cai, Shanlong Wu, Yang Qiao, Xiaoya Wang, Aixia Yang, Junjun Wu, Qinhuo Liu, Jinxiong Jiang, Haizhen Zhang

    Published 2025-03-01
    “…These insights provide valuable guidance for optimizing dataset applications and refining aerosol retrieval algorithms.…”
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    Challenges and Applications of Artificial Intelligence in Education: A Systematic Review by Saeid Arifnejad, Asadolah khadivi, Farhad Alipour

    Published 2024-12-01
    “…Out of 480 reviewed articles, 34 were selected through a targeted approach based on inclusion criteria and analyzed using thematic analysis.Findings: The applications of AI in education encompass intelligent educational systems, adaptive learning, educational environment design, assistive technologies, automated evaluation and monitoring, and intelligent analysis. …”
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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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