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    A Procedure for Extending Input Selection Algorithms to Low Quality Data in Modelling Problems with Application to the Automatic Grading of Uploaded Assignments by José Otero, Ana Palacios, Rosario Suárez, Luis Junco, Inés Couso, Luciano Sánchez

    Published 2014-01-01
    “…When selecting relevant inputs in modeling problems with low quality data, the ranking of the most informative inputs is also uncertain. …”
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    Preliminary application of the Sharesource connect data collection and analysis system in the management of continuous renal replacement therapy in the intensive care unit by Wensan Wu, Jianli Wang, Chen Chen, Junqi Feng, Shuyi Zhang, An Shi, Jing Zhang, Xinyi He, Jiangchen Peng, Mingli Zhu

    Published 2025-08-01
    “…Abstract Background This study investigated the application of software-based data monitoring for quality control (QC) in continuous renal replacement therapy (CRRT) management. …”
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    The application of naive bayes method for final project topic selection within the project-based learning framework in the data mining course by Denny Kurniadi

    Published 2024-05-01
    “…This study aims to explore the potential application of the Naive Bayes Method in predicting the determination of final project topics for students within the context of project-based learning (PBL) in the Data Mining course. …”
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    Optimised block bootstrap: an efficient variant of circular block bootstrap method with application to South African economic time series data by James Daniel, Kayode Ayinde, Adewale F. Lukman, Olayan Albalawi, Jeza Allohibi, Abdulmajeed Atiah Alharbi

    Published 2024-10-01
    “…Consequently, the OBB method was applied to forecasting of the South Africa economic data, extending up to 2027. The novel approach presented by OBB offered a valuable tool for improving predictive accuracy in time series forecasting, with potential applications across diverse fields such as finance and environmental modeling.…”
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  12. 1112

    A Web Geographic Information System to share data and explorative analysis tools: The application to West Nile disease in the Mediterranean basin. by Lara Savini, Susanna Tora, Alessio Di Lorenzo, Daniela Cioci, Federica Monaco, Andrea Polci, Massimiliano Orsini, Paolo Calistri, Annamaria Conte

    Published 2018-01-01
    “…ESRI ArcSDE 10.1 has been used to store spatial data.<h4>Results</h4>The DMD application is accessible through a generic web browser at https://netmed.izs.it/networkMediterraneo/. …”
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  13. 1113

    Applicability of Multi-Sensor and Multi-Geometry SAR Data for Landslide Detection in Southwestern China: A Case Study of Qijiang, Chongqing by Haiyan Wang, Xiaoting Liu, Guangcai Feng, Pengfei Liu, Wei Li, Shangwei Liu, Weiming Liao

    Published 2025-07-01
    “…The results indicate the following: (1) L-band SAR data demonstrates superior monitoring precision compared to C-band SAR data in the SMRC; (2) the combined use of LUTAN-1 ascending/descending orbits significantly improved spatial accuracy and detection completeness in complex landscapes; (3) multi-source data fusion effectively mitigated limitations of single SAR systems, enhancing identification of small- to medium-scale landslides. …”
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  14. 1114

    A design-based framework for optimal stratification using super-population models with application on real data set of breast cancer. by Faizan Danish

    Published 2025-01-01
    “…To address this, the study proposes a robust methodology for calculating OSB and SS, leveraging knowledge of the survey's per-unit stratum measurement costs or its probability density function. An empirical application of the method is demonstrated using breast cancer data, where the mean perimeter is estimated based on mean radius and mean texture. …”
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    Application of the Stratified Nursing Mode of the Prediction Model Constructed Based on Case System Data in the Nursing of Patients with Acute Renal Failure by Jiaping Shen, Xufeng Mei, Xueping Sun

    Published 2022-01-01
    “…Objective. To explore the application of the stratified nursing mode of the prediction model constructed based on case system data in the nursing of patients with acute renal failure (ARF). …”
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