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  1. 521

    Music Emotion Detection Using Hierarchical Sparse Kernel Machines by Yu-Hao Chin, Chang-Hong Lin, Ernestasia Siahaan, Jia-Ching Wang

    Published 2014-01-01
    “…The first-level decision vector is used as the feature with conventional radial basis function kernel. …”
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    Article
  2. 522

    Towards a Framework for Anti-corruption and Improved Procurement Governance in Uganda .The Role of Administrative Efficiency. by BC, Basheka, C J, Auriacombe

    Published 2021
    “…Public procurement has been and remains a core function of the public sector. When it is managed effectively and efficiently, it can contribute immensely towards attaining good governance within the now-complex public sector systems. …”
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    Article
  3. 523

    Coopérer en matière de programmation artistique : Une nécessité qui suppose un changement de paradigme by Céline Schall, Hermann Lugan

    Published 2024-12-01
    “…While the tool is based on an a priori simple, "common sense" idea, it raises practical, as well as philosophical and ethical questions that presuppose a completely different organization of the sector and a profound change in the values, ways of thinking and even ethos of the players involved. …”
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    Article
  4. 524

    Software Implementation of the Epps-Pulley Criterion in Matlab Modeling Environment by A. A. Tipikin, A. A. Prusakov, N. A. Timoshenko

    Published 2024-05-01
    “…We implemented the calculation of Epps-Pulley statistics by two methods – classical, using cycles, and matrix-vector, using linear algebra operations. The classical method requires calculating the intermediate values necessary to obtain the criterion statistics using two independent cycles, the second cycle being a double one, in which one cycle is nested into the other. …”
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    Article
  5. 525

    Estimating Energy Consumption During Soil Cultivation Using Geophysical Scanning and Machine Learning Methods by Jasper Tembeck Mbah, Katarzyna Pentoś, Krzysztof S. Pieczarka, Tomasz Wojciechowski

    Published 2025-06-01
    “…Three machine learning algorithms were tested: support vector machines (SVMs), multilayer perceptron (MLP), and radial basis function (RBF) neural networks. …”
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    Article
  6. 526

    THE RENEWAL AND UPGRADE OF LEGAL REGULATION OF TELECOMMUNICATIONS IN THE EU by M. B. Kasenova

    Published 2019-08-01
    “…The choice of the strategic vector of the socio-economic development of modern states is focused on the “digital economy”, and telecommunications offer critical economic importance and commercial value. …”
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    Article
  7. 527

    A Finite Control Set Model Predictive Control Algorithm With Low Complexity for Neutral-Point Clamped Converters With Switching Constraints by Dimas A. Schuetz, Fernanda de M. Carnielutti, Mokhtar Aly, Margarita Norambuena, Jose Rodriguez, Humberto Pinheiro

    Published 2024-07-01
    “…Afterward, a cost function is calculated for the redundancies of the chosen inverter voltage vector, aiming to balance the DC-link capacitor voltages. …”
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    Article
  8. 528

    Statistical analysis of the established salary in small and medium enterprises by Yu. S. Pin’kovetskaya

    Published 2017-08-01
    “…The research was based on the comparison of indexes for the entrepreneurial sector and the full range of enterprises and organizations.Modeling differentiation of salaries’ values of small and medium enterprises aggregations, as well as its relationship to the values of the subsistence level was based on the development of the density function of normal distribution. …”
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    Article
  9. 529

    Research on Classification of Rail Defects Based on Image Processing Algorithm by Mengying HUANG, Jiangping LUO, Wenxing WANG, Jingwei CAO

    Published 2020-07-01
    “…Secondly, the feature vectors of different kinds of defects were trained by support vector machine, and the optimal classification function was obtained. …”
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    Article
  10. 530
  11. 531

    Reproducibility of Retinal Nerve Fiber Layer and Macular Thickness Measurement by Spectral Domain Optical Coherence Tomography by A. K. Sood, R. O. Paliwal, R. Y. Mishra

    Published 2023-01-01
    “…In RNFL thickness, temporal sector shows the worst reproducibility as compared to other sectors. …”
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    Article
  12. 532

    NEW WAVEGUIDE METHOD FOR DIELECTRIC PARAMETER MEASUREMENT by Andrey D. Grigoriev

    Published 2018-10-01
    “…Minimization of this function by varying dielectric parameters makes it possible to find real values of these parameters. …”
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  13. 533

    基于支持向量回归机的连杆机构模糊稳健设计 by 任丕顺, 宋辉煌

    Published 2009-01-01
    “…Aiming at the synthesis problem of four bar linkage mechanism for generating function,the analysis of the influence of random disturbing factors on the movement accuracy of mechanism is analyzed,and the model for fuzzy-robust design optimization is presented.The support vector regression(SVR) is used as a surrogate model for computing the values of nonlinear functions such as fuzzy probability,and then the computational efficiency of fuzzy-robust design optimization is distinctly improved.The arithmetic steps of proposed method are introduced.The design example shows that this method is able to make the movement accuracy of mechanism match up to the tolerance of each linkage in reason,so it is effective in engineering application.…”
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    Article
  14. 534

    The relationship between the inflation rate and the unemployment rate in Poland and their long-term associations with selected macroeconomic variables by Jan Koterwa, Hubert Kycia, Anna Czapkiewicz

    Published 2024-04-01
    “…There is one long-run relationship between the factors studied. Both the values of the VECM model parameters and the results of the impulse response function indicate that there is a negative relationship between inflation and unemployment in the short term. …”
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    Article
  15. 535

    Variational quantum Hamiltonian engineering by Benchi Zhao, Keisuke Fujii

    Published 2025-05-01
    “…In this work, we propose a variational quantum algorithm called variational quantum Hamiltonian engineering (VQHE) to minimize the Pauli norm of a Hamiltonian, thereby reducing the overhead for expectation value estimation and Hamiltonian simulation. We first develop a theoretical framework that transforms the Pauli norm minimization problem into a vector l_{1}-norm minimization problem. …”
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  16. 536

    Neural network method of the decision Of the nonlinear problem of optimum distribution of the non-uniform resource by A. A. Zhuk, V. M. Buloichyk

    Published 2021-04-01
    “…Neural network method is characterized by that on inputs mentioned RNN the entrance vector of values of parameters of optimized nonlinear criterion function of a problem of distribution of a non-uniform resource moves, calculation of values of weight factors connected among themselves neurons is carried out and signal RNN is formed. …”
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  17. 537

    An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes by Juan Lu, Xiaoping Liao, Steven Li, Haibin Ouyang, Kai Chen, Bing Huang

    Published 2019-01-01
    “…Kernel function and loss function are Gaussian radial basis function and ε-insensitive loss function, respectively. …”
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  18. 538
  19. 539

    The THE ROLE OF INTERNAL AUDIT IN PROMOTING ORGANISATIONAL ETHICS AND INTEGRITY by Josephine Eyra Geraldo

    Published 2025-07-01
    “…The findings reveal that internal audit possesses significant but underleveraged potential in promoting ethical culture and values. Key barriers include insufficient support from top management, inadequate resources, weak integration of ethics into audit planning, and pervasive negative perceptions of the audit function. …”
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  20. 540

    Comparison of theoretical and experimental investigation of protonation process of some thiones in acid media by Mirjana S. Jankulovska, Vesna Dimova, Ilinka Spirevska, Milena Jankulovska

    Published 2021-03-01
    “…The dissociation constants of protonated forms (pKBH + ) and the solvation parameter m* values were calculated in accordance with "excess acidity" function method (Cox and Yates) using the absorbance data from the experimental and reconstructed spectra (Characteristic Vector Analysis (CVA)). …”
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