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  1. 501

    Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus. by Devin Gaffney, J Nathan Matias

    Published 2018-01-01
    “…As researchers use computational methods to study complex social behaviors at scale, the validity of this computational social science depends on the integrity of the data. …”
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    Article
  2. 502

    Urban Design Evolved: The Impact of Computational Tools and Data-Driven Approaches on Urban Design Practices and Civic Participation by Ahmet Gün

    Published 2023-06-01
    “… In recent years, the changing pattern of human activities, increasing data regarding the spatial environment, and the possibility of collecting and processing this data allowed us to reconsider how we approach urban design, with a focus on a digital-oriented and data-driven perspective. …”
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    Article
  3. 503

    Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

    Published 2025-04-01
    “…This paper endorses the technical implementation of machine learning in dry sulfation processes and provides insights into how computer systems perceive data characteristics and make forecasts.…”
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  4. 504

    A Machine Learning-Based Computational Methodology for Predicting Acute Respiratory Infections Using Social Media Data by Jose Manuel Ramos-Varela, Juan C. Cuevas-Tello, Daniel E. Noyola

    Published 2025-03-01
    “…Additionally, we propose a computational methodology for selecting and applying Machine Learning (ML) algorithms to predict public health indicators using social media data. …”
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    Article
  5. 505
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    Adjustable random linear network coding (ARLNC): A solution for data transmission in dynamic IoT computational environments by Raffi Dilanchian, Ali Bohlooli, Kamal Jamshidi

    Published 2025-04-01
    “…In mobile computing environments, most IoT devices connected to networks experience variable error rates and possess limited bandwidth. …”
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    Article
  7. 507

    Urban Design Evolved: The Impact of Computational Tools and Data-Driven Approaches on Urban Design Practices and Civic Participation by Ahmet Gün

    Published 2023-06-01
    “… In recent years, the changing pattern of human activities, increasing data regarding the spatial environment, and the possibility of collecting and processing this data allowed us to reconsider how we approach urban design, with a focus on a digital-oriented and data-driven perspective. …”
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    Article
  8. 508

    A Computational Framework for Revealing Competitive Travel Times with Low-Carbon Modes Based on Smartphone Data Collection by Mehrdad Bagheri, Milos N. Mladenovic, Iisakki Kosonen, Jukka K. Nurminen, Claudio Roncoli, Antti Ylä-Jääski

    Published 2020-01-01
    “…This research explains and illustrates a computational framework for this purpose. The proposed framework compares observed trips with computed alternative trips and estimates the extent to which alternatives could reduce carbon emission without a significant increase in travel time.. …”
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    Article
  9. 509
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  11. 511

    Construction and Research of Guqin Sound Synthesis and Plucking Big Data Simulation Model Based on Computer Synthesis Technology by MingQing Liu

    Published 2022-01-01
    “…Based on this, this paper studies the big data simulation model of Guqin sound synthesis and plucking based on computer composition technology. …”
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  12. 512
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  14. 514

    The Impact of Data Source on the Ranking of Computer Scientists Based on Citation Indicators: A Comparison of Web of Science and Scopus. by Li Zhang

    Published 2014-04-01
    “…It compares the citation data of 25 randomly selected computer science faculty in Canadian universities in Web of Science (with Conference Proceedings Citation Indexes) and Scopus. …”
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  15. 515

    On-line computer determination of rate constants from stopped flow data by a nonlinear least square method by Andreas D. Zuberbühler, Thomas A. Kaden

    Published 1977-11-01
    “… The on-line data acquisition from a Durrum D 110 stopped flow spectrophotometer as well as the calculation of rate constants by a nonlinear least square program written for a Hewlett-Packard HP 9820 (or HP 9821) desktop computer is described. …”
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  16. 516
  17. 517

    Assessment of the elastic properties of the ascending aorta using electrocardiographic synchronized computed tomography angiography with advanced data processing by A. Yu. Skripnik, V. A. Fokin, R. R. Mironchuk, V. E. Uspenskiy, O. B. Irtyuga, E. A. Kushnareva, S. D. Rud, A. S. Lepekhina, O. M. Moiseeva, G. E. Trufanov

    Published 2019-12-01
    “…Aim. To modernize the computed tomography angiography (CTA) protocol with advanced data processing for the diagnosis of ascending aortic (AA) aneurysms, determining the aortic distensibility and compliance. …”
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    Article
  18. 518

    Ranking data privacy techniques in cloud computing based on Tamir’s complex fuzzy Schweizer-Sklar aggregation approach by Jabbar Ahmmad, Hamiden Abd El-Wahed Khalifa, Hafiz Muhammad Waqas, Alhanouf Alburaikan, Taha Radwan

    Published 2025-07-01
    “…Abstract In the era of cloud computing, it has become an important challenge to secure data privacy by storing and processing massive amounts of sensitive information in shared environments. …”
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    Article
  19. 519

    Combining Optical Scanning and X-Ray Computed Tomography Data for Modeling the Internal and External Geometries of Cultural Artifacts by Young-Hoon Jo, Dasol Kim, Nyamsuren Davaadorj

    Published 2025-06-01
    “…Recording the internal and external shapes of an artifact separately using different digital technologies is inefficient from a data management perspective and limits comprehensive geometric analysis. …”
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    Article
  20. 520

    Computing the COVID-19 Basic and Effective Reproduction Numbers Using Actual Data: SEIRS Model with Vaccination and Hospitalization by Svetozar Margenov, Nedyu Popivanov, Tsvetan Hristov, Veneta Koleva

    Published 2024-12-01
    “…Furthermore, a parameter identification approach has been used to develop a numerical method to compute these numbers for long-term epidemics. We analyze the actual COVID-19 data from the USA, Italy, and Bulgaria to solve appropriate inverse problems and gain an understanding of the time evolution behavior of the basic and effective reproduction numbers. …”
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    Article