Showing 941 - 960 results of 8,656 for search 'application (errors OR error)', query time: 0.13s Refine Results
  1. 941

    Maternal and Child Health Services Mobile Application Prototype: A Case Study of Puskesmas Sungai Duren Muara Enim Regency by Rasmila Rasmila, Rahayu Amalia, Muhammad Rizqi Hidayah Adryansyah, Kanero Juniar

    Published 2025-06-01
    “…Currently, patient registration and data management are conducted manually using patient data books, leading to inefficiencies, errors, and data loss. This research aims to develop a UI/UX mobile application that enhances maternal and child health services at the health center. …”
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    Article
  2. 942

    Optimization strategy of virtual machine online migration with awareness of application characteristics and network bandwidth migration by Xiang LI, Ning-jiang CHEN, Shang-lin YANG, Hua LI

    Published 2017-11-01
    “…Firstly the experiments to verify the relationship between the number of dirty memory pages and application characteristics which exist in virtual machine migration was conducted.Then,different virtual machine application characteristics were perceived,with which the number of dirty memory pages produced during the migrations was predicted by the use of GM(1,N) grey prediction model.At the same time,using residual correction to adjust error makes results more reliable.According to the prediction of memory dirty pages,network bandwidth was adjusted and reserved.Compared with the traditional pre-copy strategy,the given experiments show that the optimized strategy proposed can improve the performance of network and reduce migratory cost for the memory-intensive and network-intensive applications.…”
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  3. 943

    Efficient Multiplicative Calculus-Based Iterative Scheme for Nonlinear Engineering Applications by Mudassir Shams, Nasreen Kausar, Ioana Alexandra Șomîtcă

    Published 2024-11-01
    “…The analysis includes the total number of functions and derivative evaluations per iteration, elapsed time, residual errors, local computational order of convergence, and error graphs, which demonstrate our method’s better convergence behavior when compared to other approaches.…”
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  4. 944

    Non-Invasive Glucose Monitoring Technologies Innovations Applications and Future Directions by Wu Kerui

    Published 2025-01-01
    “…Current technical bottlenecks manifest as individual calibration variation coefficients exceeding 12% and blood-interstitial fluid glucose lag (8-15 minutes), with emerging solutions trending toward deep learning-based dynamic compensation models (83% error correction) and terahertz quantum cascade detection (0.1mmol/L detection limit).…”
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  5. 945

    Development of mobile application for tree height measurement using geometric principle: Establishing global database of tree height and data by Mubarak Mahmud, Jianhong Lin, Mojtaba Houballah, Ibrahim Garba Buba, Laure Barthes

    Published 2025-03-01
    “…Validation through Pearson correlation and Bland-Altman analyses demonstrated strong agreement, with root mean squared errors (RMSE) of 0.187 m for the clinometer and 0.192 m for M-Tree, alongside near-perfect correlations of 0.996 and 0.998, respectively. …”
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  6. 946
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  8. 948

    Random Forest–Based Coal Mine Roof Displacement Prediction and Application by Hongxia Li, Rong Wu, Jianan Gao

    Published 2025-01-01
    “…When RF model is applied to coal mine roadway, the average R2 is 0.92, and the relative error of prediction is 1.76%–9.11%, which indicates that RF model has greater accuracy and applicability in advance prediction of coal roadway roof displacement. …”
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    Article
  9. 949
  10. 950

    Application of a direct georeferencing method of drone images for smart farming by Ralph L. Stoop, Markus Sax, Dejan Seatovic, Thomas Anken

    Published 2024-12-01
    “…In this work, we study the applicability and accuracy of a simplified direct georeferencing method of drone images for typical smart farming applications, such as weed detection. …”
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  11. 951

    Optimizing Management of Alfalfa (<i>Medicago sativa</i> L.) Nitrogen Fertilizer Based on Critical Nitrogen Concentration Dilution Curve Model by Yaya Duan, Yi Ling, Haiyan Li, Wenjing Chang, Jiandong Lu, Minhua Yin, Yanxia Kang, Yanlin Ma, Yayu Wang, Guangping Qi, Guoyun Shen

    Published 2025-06-01
    “…The normalized root mean square error (n-RMSE) of the models ranged from 3.1% to 13%, indicating high model reliability. …”
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  12. 952
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  14. 954

    Amendment of the Criminal Code of the Russian Empire of 1903: Encroachment on a non-existent or clearly unsuitable object as a circumstance excluding criminal liability by Petr A. Skoblikov

    Published 2025-03-01
    “…Currently, it does not directly regulate liability for attempts involving unsuitable objects nor define the legal consequences of factual and legal errors. The analysis and conclusions presented in this article may also be relevant in preparing a draft resolution for the Plenum of the Supreme Court of the Russian Federation.…”
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  15. 955
  16. 956

    Usability analysis of banking service interfaces in Poland by Paulina Sułek, Aleksandra Walaszek

    Published 2023-09-01
    “… This paper presents a comparative analysis of selected mobile banking applications: PKO BP, mBank, Pekao S.A., and Credit Agricole. …”
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  17. 957
  18. 958

    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
    “…The consistency and accuracy of the provincial precipitation analysis products in Beijing from September 2022 to August 2023 are evaluated by automatic weather station observations, error analysis, effective precipitation time proportion, and other methods. "23·7" extreme precipitation event is also analyzed in terms of cumulative precipitation, precipitation intensity, and hourly precipitation error. …”
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  19. 959

    Prediction of Industrial Property Rights Applications using Vector Autoregressive Model by Byeongdeuk Jang, Hyukjoon Kim

    Published 2024-06-01
    “…By experimenting with multiple variable combinations, 24 VAR models were derived, and the optimal model with the smallest prediction error was selected based on the forecast accuracy measured by the Mean Absolute Percentage Error (MAPE). …”
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