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  1. 41

    Joint processing of measurements in a rangefinder-doppler multistatic radar system by E. G. Borisov

    Published 2020-04-01
    “…It is shown that the joint processing of measurements of the inclined range, the sum of the distances, the radial velocity and the rate of change of the total range allows to increase the accuracy of measuring the location of an air object and the projections of its velocity vector on the axis of a rectangular coordinate system. …”
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    Recognition of Process Disturbances for an SPC/EPC Stochastic System Using Support Vector Machine and Artificial Neural Network Approaches by Yuehjen E. Shao

    Published 2014-01-01
    “…Because of the excellent performance on monitoring and controlling an autocorrelated process, the integration of statistical process control (SPC) and engineering process control (EPC) has drawn considerable attention in recent years. …”
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  4. 44

    Computational and Experimental Study of Local Characteristics of the Fluidization Process of Fuel Pellets by A. E. Karmanov, A. V. Mitrofanov, E. V. Prikhodko, S. V. Vasilevich, N. S. Shpeynova

    Published 2023-12-01
    “…Fluidized bed phase distributions were described by state vectors whose evolution was controlled by transition probability matrices. …”
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    Segmentation of Clinical Endoscopic Images Based on the Classification of Topological Vector Features by O. A. Dunaeva, D. B. Malkova, M. L. Machin, H. Edelsbrunner

    Published 2013-12-01
    “…We use the image processing scheme which includes image preprocessing, calculation of vector descriptors defined for every point of the source image and the subsequent classification of descriptors. …”
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  11. 51

    A missing data processing method for dam deformation monitoring data using spatiotemporal clustering and support vector machine model by Yan-tao Zhu, Chong-shi Gu, Mihai A. Diaconeasa

    Published 2024-12-01
    “…The proposed method was validated in a concrete dam project, with the model error maintaining within 5%, demonstrating its effectiveness in processing missing deformation data. This approach enhances the capability of early-warning systems and contributes to enhanced dam safety management.…”
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  12. 52

    Machine Learning Prediction of Foaming in Anaerobic Co-Digestion from Six Key Process Parameters by Sarah E. Daly, Ji-Qin Ni

    Published 2024-12-01
    “…This study demonstrates that the interactions of multiple chemical and physical process parameters are an important consideration for predicting anaerobic digester foaming.…”
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  13. 53

    Typology of Semantic Relations Extracted by the Instrument RusVectōrēs by M. K. Timofeeva

    Published 2018-08-01
    “…The question about the types of semantic relations extractable by the Web-service RusVectōrēs is considered. The research urgency is caused by insufficient state of knowledge about linguistic potential of this instrument and distributive semantics in whole. …”
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    IGWO-MSVR model for predicting stress in coal seam during drilling process by Jian Tan, Yanfeng Geng, Liangke Xu

    Published 2025-09-01
    “…Then, utilized Grey Wolf Optimizer (GWO) model to optimize the relevant factors which appear in Modified Support Vector Regression model (MSVR). After then, finite element method was used to simulate drilling process under different conditions, and part of the obtained data by simulations was taken as training samples to train MSVR model, a part of the remaining samples was used to test the prediction accuracy of MSVR model. …”
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