Showing 1 - 20 results of 846 for search 'algorithms for evaluation the quality of application', query time: 0.21s 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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    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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    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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    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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    Evaluation Modeling of Electric Bus Interior Sound Quality Based on Two Improved XGBoost Algorithms Using GS and PSO by Enlai ZHANG, Yi CHEN, Liang SU, Ruoyu ZHONGLIAN, Xianyi CHEN, Shangfeng JIANG

    Published 2024-04-01
    “…And nine psycho-acoustic objective parameters such as loudness, sharpness and roughness were calculated using Artemis software to establish the sound quality database of electric buses. Aiming at the practical application requirements of high-precision modeling of acoustic comfort in vehicles, this paper presented two improved extreme gradient boosting (XGBoost) algorithms based on grid search (GS) method and particle swarm optimization (PSO), respectively, with objective parameters and acoustic comfort as input and output variables, and established three regression models of standard XGBoost, GS-XGBoost, and PSO-XGBoost through data training. …”
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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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