Search Results - data processing methods

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  1. 2161

    Controlling the thickness of the plastic layer applied using 3D printing by electromagnetic acoustic method by Максим Сергійович Друзєв, Олександр Олександрович Подолян, Григорій Семенович Тимчик

    Published 2022-02-01
    “…The pressure drops sharply, as the layerthickness increases.Conclusions: Good convergence of the outcome of theoretical and experimental studies is demonstrated, with the approximation error of experimentally obtained data generally not exceeding 5%.The study is based on a widely proven approach to analyzing the process of acoustic wave formation by an EMA transducer. …”
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  2. 2162

    Child contact management in high tuberculosis burden countries: A mixed-methods systematic review. by Daria Szkwarko, Yael Hirsch-Moverman, Lienki Du Plessis, Karen Du Preez, Catherine Carr, Anna M Mandalakas

    Published 2017-01-01
    “…We included any quantitative, qualitative, mixed-methods study design except for randomized-controlled trials, editorials or commentaries. …”
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  3. 2163

    A Dynamic Kalman Filtering Method for Multi-Object Fruit Tracking and Counting in Complex Orchards by Yaning Zhai, Ling Zhang, Xin Hu, Fanghu Yang, Yang Huang

    Published 2025-07-01
    “…Then a modified Kalman filter with a variable forgetting factor is integrated to dynamically adjust the weighting of historical data, enabling the model to adapt to changes in observation and motion noise. …”
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  4. 2164

    GLOPS: A Hybrid Approach for Enhanced Scheduling in Cloud Computing Environments via Machine Learning-Based Process Prediction by Syed Abu Ammar Muhammad Zarif, Layla Kader Suma, Md. Sadat Rahman, Md. Motaharul Islam, Phuoc Hung Pham, Phong Dung Thi Nguyen, Nguyen Thanh Binh

    Published 2025-01-01
    “…Furthermore, the need for a robust process prediction method is crucial, as doing so would make it possible to schedule said processes before arrival, in turn increasing performance metrics. …”
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  5. 2165

    Real-time hybrid test method for floating wind turbines: Focusing on the aerodynamic load identification by Zhihao Jiang, Binrong Wen, Gang Chen, Xinliang Tian, Jun Li, Danxue Ouyang, Zhike Peng, Yehong Dong, Guiyong Zhou

    Published 2025-08-01
    “…In the hybrid model test method, the original physical model system is divided into physical subsystem and numerical subsystem, and the data acquisition and process module between the 2 subsystems plays an important role. …”
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  6. 2166

    A new method for ecologists to estimate heterozygote excess and deficit for multi‐locus gene families by Gabe D. O'Reilly, Oliver Manlik, Sandra Vardeh, Jennifer Sinclair, Belinda Cannell, Zachary P. Lawler, William B. Sherwin

    Published 2024-07-01
    “…We developed such a method. Like FIS, our novel measure, 1HIS, is based on the principle that positive assortative mating, or selection against heterozygotes, and some other processes reduce within‐individual variability relative to the population. …”
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  7. 2167

    Deepfake Face Detection and Adversarial Attack Defense Method Based on Multi-Feature Decision Fusion by Shanzhong Lei, Junfang Song, Feiyang Feng, Zhuyang Yan, Aixin Wang

    Published 2025-06-01
    “…The final decisions from both modules were integrated using a voting method, completing the deepfake face detection process. …”
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  8. 2168
  9. 2169

    Monoclonal antibodies: Development of universal (platform) methods for the assessment of high and low-molecular weight impurities by O. A. Vaganova, R. S. Smirnov, S. A. Lenin, K. S. Funtashev, A. A. Kostromskih, A. S. Peregudova, D. A. Kadykova, V. A. Merkulov

    Published 2025-07-01
    “…Studies by SE-HPLC were carried out on Agilent Technologies 1200 series instruments equipped with UV detectors, with data processed via OpenLab software. Capillary gel electrophoresis (CGE) was conducted under both reducing and non-reducing conditions using a PA 800 plus system (Beckman Coulter) with UV diode array detection, and Beckman 32Karat software.RESULTS. …”
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  10. 2170

    A Two-Stage Strategy Integrating Gaussian Processes and TD3 for Leader–Follower Coordination in Multi-Agent Systems by Xicheng Zhang, Bingchun Jiang, Fuqin Deng, Min Zhao

    Published 2025-05-01
    “…Initially, GPs are utilized to model the uncertain dynamics of agents based on sensor data, providing a stable and noiseless training virtual environment for the first phase of TD3 strategy network training. …”
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  11. 2171

    To the problem of simulation modelling of abnormal and emergency flight situations in the process of Mi-8MTV helicopter pilot simulation training by P. N. Rybkin, Yu. M. Сhinynchin

    Published 2022-11-01
    “…The article examines a method of obtaining the required initial data for adequate mathematical modelling of nonstationary processes in the Mi-8MTV helicopter computer and flight simulators. …”
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  12. 2172

    Current state of methods for control the safety and potency of diphtheria toxoid and tetanus toxoid in combined vaccines by E. I. Komarovskaya, O. V. Perelygyna

    Published 2022-07-01
    “…The review presents data on methods for determining the immunogenicity of vaccines for the prevention of diphtheria and tetanus in the world. …”
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  13. 2173
  14. 2174

    Scientific and Methodological Bases of Exergetic Analysis of the Processes of Heat Treatment of Concrete Products in Heat Technology Installations. Part 1 by V. N. Romaniuk, A. M. Niyakovskii

    Published 2021-06-01
    “…Having proven its effectiveness in finding the best options for energy supply and energy consumption the exergetic method of thermodynamic analysis of complex heat and power systems has been widely recognized in recent years. …”
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  15. 2175

    Enhancing LiDAR Data Positioning Accuracy in National Forest Surveys through Multi-Source Point Cloud Matching in Terrasolid software by A. Shcherbacheva, A. Puttonen, A. Soininen

    Published 2025-07-01
    “…Given the vast scale of NLS projects, often covering thousands of kilometres, efficient data processing is crucial. TerraScan provides two fully automated methods for co-registering TLS/MLS and ALS datasets: (1) signal marker-based registration and (2) tree stem-based registration. …”
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  16. 2176

    In Situ Study of Coupled Mineral Dissolution and Precipitation Processes With Gas Production in Porous Media Using Magnetic Resonance Imaging by Lara Wegner, Andreas Pohlmeier, Yumeng Wang, Martina Klinkenberg, Dirk Bosbach, Jenna Poonoosamy

    Published 2025-07-01
    “…These results provide a robust data set for benchmarking reactive transport models and advancing understanding of CDPG.…”
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  17. 2177

    Imitation Modeling of the Activity of the Present-Day Multi-Profile Medical Institution by O. E. Karpov, S. A. Subbotin, M. N. Zamyatin, D. V. Shishkanov, P. E. Astashev, E. S. Prokhorova

    Published 2018-12-01
    “…The authors show results of the preparatory, analytical stage. Analysis of the data demonstrates that methods of the theory of mass service can be applied to processes of a big multi-profile medical institution and the quality of data in the medical information system provides an opportunity to use it for imitation modeling. …”
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  18. 2178

    About managing the number of simultaneously functioning software robots of different types by A. S. Zuev, D. A. Leonov

    Published 2024-08-01
    “…The developed method for generating statistical data based the results of applying the sequential local optimization method is used to identify deficient and non-deficient computational resources. …”
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  19. 2179

    Integrating Equation Coding with Residual Networks for Efficient ODE Approximation in Biological Research by Ziyue Yi

    Published 2025-04-01
    “…Biological research traditionally relies on experimental methods, which can be inefficient and hinder knowledge transfer due to redundant trial-and-error processes and difficulties in standardizing results. …”
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  20. 2180

    Use of machine learning techniques for modeling of snow depth by G. V. Ayzel

    Published 2017-04-01
    “…It is demonstrated that use of combination of modern machine learning methods with available meteorological data provides the good accuracy of the snow cover modeling. …”
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