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    EXPERIMENTAL DETERMINATION OF CONVECTIVE HEAT TRANSFER COEFFICIENTS IN THERMAL BUOYACY VENTILATION SYSTEM by D. V. Abramkina, A. A. Abramyan, E. R. Shevchenko-Enns

    Published 2019-06-01
    “…The main goal of the article is to present the developed method for the experimental determination of convective heat transfer coefficients, suitable for studying the internal convection of models of complex configuration. …”
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    Article
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    Algorithm for the synthesis of linear antenna arrays with desired radiation pattern and integral amplitude coefficients by A. V. Sadchenko, O. A. Kushnirenko, A. V. Troyansky

    Published 2015-06-01
    “…It is possible to simplify the technical implementation of PAR, if complex representation of coefficients of amplitude-phase distribution of the field along the lattice is approximated by real values in the synthesis stage. …”
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    Article
  5. 25

    Identifying potential provenances for climate-change adaptation using spatially variable coefficient models by Marieke Wesselkamp, David R. Roberts, Carsten F. Dormann

    Published 2024-05-01
    “…Results The spatially-variable coefficient model fits the data substantially better than a stationary, i.e. constant-effect analysis (as measured by AIC to account for differences in model complexity). …”
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    Article
  6. 26

    A Novel Fault Diagnosis Method Using FCEEMD-Based Multi-Complexity Low-Dimensional Features and Directed Acyclic Graph LSTSVM by Rongrong Lu, Miao Xu, Chengjiang Zhou, Zhaodong Zhang, Kairong Tan, Yuhuan Sun, Yuran Wang, Min Mao

    Published 2024-11-01
    “…The Fast Complementary Ensemble Empirical Mode Decomposition (FCEEMD) method is applied to decompose vibration signals, effectively reducing background noise. Nonlinear complexity features are then extracted, including sample entropy (SE), permutation entropy (PE), dispersion entropy (DE), Gini coefficient, the square envelope Gini coefficient (SEGI), and the square envelope spectral Gini coefficient (SESGI), enhancing the capture of the signal complexity. …”
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    Article
  7. 27

    Weighted correlation coefficients for q-rung orthopair fuzzy sets with application in multi-criteria decision-making by Miin-Shen Yang, Mehboob Ali, Yasir Akhtar

    Published 2025-05-01
    “…Correlation coefficients (CCs) have been widely used to assess the relationships between fuzzy sets (FSs) in the literature. …”
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    Article
  8. 28

    Prediction on Permeability Coefficient of Continuously Graded Coarse-Grained Soils: A Data-Driven Machine Learning Method by Jinhua Wang, Haibin Ding, Lingxiao Guan, Yulin Wang

    Published 2025-05-01
    “…Among the models, BPNN achieved the best performance (R<sup>2</sup> = 0.99, MAE = 1.5, RMSE = 2.9, U<sub>95</sub> = 0.4), effectively capturing the complex nonlinear relationship between gradation and permeability. …”
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    Article
  9. 29

    An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Thresholding by Mohammed Abo-Zahhad, Sabah M. Ahmed, Ahmed Zakaria

    Published 2012-01-01
    “…This paper presents an efficient electrocardiogram (ECG) signals compression technique based on QRS detection, estimation, and 2D DWT coefficients thresholding. Firstly, the original ECG signal is preprocessed by detecting QRS complex, then the difference between the preprocessed ECG signal and the estimated QRS-complex waveform is estimated. 2D approaches utilize the fact that ECG signals generally show redundancy between adjacent beats and between adjacent samples. …”
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    Article
  10. 30

    Interferometric phase diagram generation method based on dot trace texture information and semantic segmentation of correlation coefficients by Xuelin Zhang, Zhaoxia Wang, Hui Zhang, Dongliang Xie

    Published 2024-01-01
    “…Second, SIFT feature points are extracted from two InSAR coherent complex images. They are then screened by comparison with DTTI. …”
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    Article
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    Methodology of online assessment of technical state of transformer substation 35/6 (10) kV by express analysis coefficient by I. V. Ivshin, A. R. Galyautdinova, O. V. Vladimirov, M. F. Nizamiev, I. K. Usmanov

    Published 2021-10-01
    “…A three-level structural complex has been developed for measuring and express-analysis of the technical state of TP. …”
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    Article
  13. 33

    A three‐vector model predicting torque control of permanent magnet synchronous motor with a fixed weight coefficient by Xingyu Qu, Chengkun Peng, Peng Lu, Bing Ge, Shuang Zhang, Qinghe Wang, Zhenyang Li

    Published 2024-12-01
    “…The first voltage vector is selected by a fixed coefficient cost function, the second and third voltage vectors are determined by a cost function that includes only torque and flux, and the third voltage vector is no longer just a traditional zero vector. …”
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    Mineral composition of terrigenous components in loess and clay deposits of Western Mongolia by T. G. Ryashchenko

    Published 2022-11-01
    “…Variations in mineral associations of the studied objects were established related both to their belonging to the selected geological and genetic complexes and the possibility of eolian process effects. …”
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    Article
  16. 36

    Remote Sensing of Particle Absorption Coefficient of Pigments Using a Two-Stage Framework Integrating Optical Classification and Machine Learning by Xietian Xia, Shaohua Lei, Hui Lu, Zenghui Xu, Xiang Li, Xing Chen, Niancheng Hong, Jie Xu, Kun Shi, Jiacong Huang

    Published 2025-05-01
    “…The particle absorption coefficient of pigments (<i>a</i><sub>ph</sub>(λ)), a critical indicator of phytoplankton spectral absorption properties, is essential for bio-optical models and water quality monitoring. …”
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    Article
  17. 37

    SHAP-Based Feature Selection for Enhanced Unsupervised Labeling by Mary Anne Walauskis, Taghi M. Khoshgoftaar

    Published 2025-01-01
    “…Lastly, unsupervised SHAP-based feature selection improves label quality when comparing feature subsets to the full-feature dataset while reducing computational complexity. …”
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    Article
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    Unveiling optimal mother wavelets by COPRAS Method Analyzing speech signals despite face mask and shield obstacles by B. Marxim Rahula Bharathi, N. S. Balaji, R. Meena, M. Raja Chandra Sekar, Krishna Moorthy Sivalingam, Yan Yafang, P. V. Elumalai

    Published 2025-04-01
    “…This work proposes the COPRAS (COmplex PRoportional ASsessment) technique to select the appropriate mother wavelet function. …”
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  20. 40

    Analysis and Selection Method for Radar Echo Features in Challenging Scenarios by Yunlong Dong, Xiao Luo, Hao Ding, Ningbo Liu, Zheng Cao

    Published 2025-01-01
    “…Feature selection was then performed from the clusters based on mean feature value, coefficient of variation, and Bhattacharyya distance, yielding an optimal feature set for the current scenario. …”
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    Article