Showing 2,041 - 2,060 results of 14,865 for search 'Operational data analysis', query time: 0.18s Refine Results
  1. 2041

    Privacy-Preserving Keyword Search With Access Control for Secret Sharing-Based Data Outsourcing by Ahmad Akmal Aminuddin Mohd Kamal, Masamune Okada, Masaya Fujisawa

    Published 2025-01-01
    “…Searchable encryption, also known as secure search, is a technology that enables search operations on encrypted data while maintaining confidentiality. …”
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    Article
  2. 2042

    Should data from demographic surveillance systems be made more widely available to researchers? by Daniel Chandramohan, Kenji Shibuya, Philip Setel, Sandy Cairncross, Alan D Lopez, Christopher J L Murray, Basia Zaba, Robert W Snow, Fred Binka

    Published 2008-02-01
    “…Basia Zaba and colleagues argue that the major obstacles to DSS sites sharing data are technical, managerial, and financial rather than proprietorial concerns about analysis and publication. …”
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    Article
  3. 2043

    An ensemble model for predicting dyslipidemia using 3-years continuous physical examination data by Naiwen Zhang, Xiaolong Guo, Xiaxia Yu, Zhen Tan, Zhen Tan, Feiyue Cai, Feiyue Cai, Ping Dai, Jing Guo, Guo Dan

    Published 2024-10-01
    “…Area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA) were used to evaluate the model.ResultsExperimental results show that the ensemble model achieves superior performance across several metrics, achieving an AUC of 0.88 ± 0.01 (P < 0.001), surpassing the base learners by margins of 0.04 to 0.20. …”
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    Article
  4. 2044

    Association between monocyte-to-lymphocyte ratio and cardiovascular diseases: insights from NHANES data by Xiaowan Li, Liyan Zhang, Yingying Du, Yiru Shen, Yuanzhi Gong, Junjie Wang, Juan Zhou, Sheng Wang

    Published 2025-03-01
    “…Furthermore, interaction tests and subgroup analysis were performed. Diagnostic capacities were also predicted and compared using receiver operating characteristic (ROC) curves. …”
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    Article
  5. 2045

    Effect of music listening on delirium after hip fracture operations (MLDHFO) in a regional hospital in Taiwan: a randomised controlled trial protocol by Ling Wang, Lin-Yu Chao, Chun-Chih Lin, Hsing-Ju Lu, Jiun-Liang Chen, Han-Chang Ku

    Published 2025-08-01
    “…This trial aims to evaluate the effect of perioperative music listening on postoperative delirium in patients with femur fracture undergoing surgery.Methods and analysis The music listening on clinical outcome after hip fracture operations study is an investigator-initiated, randomised controlled, clinical trial. 102 patients with femur fracture meeting eligibility criteria will be randomised to the music listening intervention or control group with concealed allocation. …”
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    Article
  6. 2046

    Outlier Detection and Correction in Smart Grid Energy Demand Data Using Sparse Autoencoders by Levi da Costa Pimentel, Ricardo Wagner Correia Guerra Filho, Juan Moises Mauricio Villanueva, Yuri Percy Molina Rodriguez

    Published 2024-12-01
    “…The implementation of smart grids introduces complexities where data quality issues, particularly outliers, pose significant challenges to accurate data analysis. …”
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    Article
  7. 2047

    Conceptual approaches to transforming budgeting procedures on the basis of opportunities provided by big data technologies by E. D. Novikova

    Published 2019-04-01
    “…In today’s economic circumstances the needs of accounts and finance experts in data keep on transforming and expanding. Turbulence of external environment stipulates the growth in volatility and uncertainty in operative environment removing the vector of objectives for accounting and budgeting. …”
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    Article
  8. 2048

    Ciphertext policy hidden access control scheme based on blockchain and supporting data sharing by Ruizhong DU, Tianhe ZHANG, Pengliang SHI

    Published 2022-06-01
    “…Objectives: Although the traditional attribute-based encryption scheme achieves one-to-many access control,there are still challenges such as single point of failure,low efficiency,no support for data sharing,and privacy leakage.To solve these problems,a ciphertext policy hidden access control scheme based on blockchain and supporting data sharing is proposed. …”
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    Article
  9. 2049
  10. 2050

    Estimation of surface duct parameters using AIS data based on Bayesian inversion method by Hong-Guang Wang, Li-Jun Zhang, Jie Han, Li-Feng Huang, Qing-Lin Zhu

    Published 2025-08-01
    “…Initially, preliminary data on surface-based duct and elevated-surface duct parameters are acquired from historical sounding data, followed by correlation analysis and probability density distribution fitting of these surface duct parameters. …”
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    Article
  11. 2051

    An association rule-based approach for frequent item mining of multi-stage access data by Silong Wu

    Published 2025-07-01
    “…Therefore, a multi-stage frequent item mining method for accessing data based on association rules is proposed. By applying the concepts of clustering analysis and Boolean vector operation, the Apriori algorithm for association rules is improved. …”
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    Article
  12. 2052

    Machine Learning Approaches for Data-Driven Self-Diagnosis and Fault Detection in Spacecraft Systems by Enrico Crotti, Andrea Colagrossi

    Published 2025-07-01
    “…Fault scenarios are defined based on potential failures in these elements, guiding the data-driven feature extraction and labeling process. …”
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    Article
  13. 2053

    Secure data transmission through fractal-based cryptosystem: a Noor iteration approach by Deepak Negi, Rajiv Kumar, Vijay Kumar, Arvind Dhaka

    Published 2025-07-01
    “…Abstract The data must be protected from cyber-attacks that benefit from the weaknesses of the databases. …”
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    Article
  14. 2054

    Modelling the Temperature of a Data Centre Cooling System Using Machine Learning Methods by Adam Kula, Daniel Dąbrowski, Marcin Blachnik, Maciej Sajkowski, Albert Smalcerz, Zygmunt Kamiński

    Published 2025-05-01
    “…It even becomes more challenging when dealing with an operating data centre. To achieve that goal without compromising the working conditions of the compute resources, a temperature model is needed that estimates the temperature within the hot corridor of the cooling system based on the properties of the external weather conditions and internal conditions such as server energy consumption, and cooling system state. …”
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  15. 2055

    Patients in palliative care-Development of a predictive model for anxiety using routine data. by Sonja Hofmann, Stephanie Hess, Carsten Klein, Gabriele Lindena, Lukas Radbruch, Christoph Ostgathe

    Published 2017-01-01
    “…<h4>Results</h4>An analysis of 9924 data sets suggests a predictive model for anxiety in patients receiving palliative care which contains gender, age, ECOG, living situation, pain, nausea, dyspnea, loss of appetite, tiredness, need for assistance with activities of daily living, problems with organization of care, medication with sedatives/anxiolytics, antidepressants, antihypertensive drugs, laxatives, and antibiotics. …”
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  16. 2056

    Enhancing Quality Control of Packaging Product: A Six Sigma and Data Mining Approach by Resty Ayu Ramadhani, Rina Fitriana, Anik Nur Habyba, Yun-Chia Liang

    Published 2023-12-01
    “… Six Sigma is of paramount importance to organizations as it provides a structured and data-driven approach, fostering continuous improvement, minimizing defects, and optimizing processes to meet and exceed customer expectations. …”
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    Article
  17. 2057
  18. 2058

    Physics‐Based Approach to Thermospheric Density Estimation Using CubeSat GPS Data by Shaylah M. Mutschler, Penina Axelrad, Eric K. Sutton, Dallas Masters

    Published 2023-01-01
    “…This paper provides a direct comparison of estimated density, derived by our new method, to HASDM and Swarm mission derived density. A propagation analysis is also executed by comparing the CubeSat POD data to orbits propagated using our estimated density versus HASDM density. …”
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  19. 2059

    Boosting grapevine phenological stages prediction based on climatic data by pseudo-labeling approach by Mehdi Fasihi, Mirko Sodini, Alex Falcon, Francesco Degano, Paolo Sivilotti, Giuseppe Serra

    Published 2025-09-01
    “…This paper proposes a semi-supervised approach that begins with a small set of labeled phenological stage examples and automatically generates new annotations for large volumes of unlabeled climatic data. This approach aims to address key challenges in phenological analysis. …”
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  20. 2060