Results 11 to 20 of about 1,296,830 (230)
A General Equivalent Modeling Method for DFIG Wind Farms Based on Data-Driven Modeling
To enhance the stable performance of wind farm (WF) equivalent models in uncertain operating scenarios, a model-data-driven equivalent modeling method for doubly-fed induction generator (DFIG)-based WFs is proposed.
Qianlong Zhu +3 more
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Comparison of material properties of SCC concrete with steel fibres related to ingress of chlorides [PDF]
The paper focuses on the evaluation of chloride ion diffusion coefficient of self-compacting concrete with steel fibre reinforcement. The reference concrete from Ordinary Portland Cement (OPC) and Self-Compacting Concrete (SCC) with several values of ...
Konečný, Petr +2 more
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PRINCIPLES OF ASSESSING THE ECONOMIC SECURITY OF THE REGION [PDF]
The subject of the study is the theoretical and methodological aspects of assessing the economic security of the region. The purpose of the article is to develop a methodology for assessing the economic security of the region on the basis of the analysed
Volodymyr Onyshchenko, Olha Bondarevska
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A discrete Hilbert-type inequality in the whole plane
By the use of weight coefficients and technique of real analysis, a discrete Hilbert-type inequality in the whole plane with multi-parameters and a best possible constant factor is given.
Dongmei Xin, Bicheng Yang, Qiang Chen
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Finite control set-model predictive torque control (FCS-MPTC) depends on the system parameters and the weight coefficients setting. At the same time, since the actual load disturbance is unavoidable, the model parameters are not matched, and there is a ...
Haixia Li, Jican Lin, Ziguang Lu
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On a new Hardy-Mulholland-type inequality and its more accurate form
Using weight coefficients and applying the well-known Hermite-Hadamard inequality, a new Hardy-Mulholand-type inequality with a best possible constant factor is given.
Aihua Li, Bicheng Yang, Leping He
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Multi-Loss Weighting with Coefficient of Variations [PDF]
Many interesting tasks in machine learning and computer vision are learned by optimising an objective function defined as a weighted linear combination of multiple losses. The final performance is sensitive to choosing the correct (relative) weights for these losses.
Groenendijk, R. +3 more
openaire +3 more sources
On a more accurate Hardy-Mulholland-type inequality
By using weight coefficients, technique of real analysis, and Hermite-Hadamard’s inequality, we give a more accurate Hardy-Mulholland-type inequality with multiparameters and a best possible constant factor related to the beta function.
Bicheng Yang, Qiang Chen
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An Extended Hilbert-Type Inequality with Two Internal Variables Involving One Partial Sums
By the use of the techniques of analysis and some useful formulas, we give a new extension of Hilbert-type inequality with two internal variables involving one partial sums, which is a refinement of a published inequality.
Aizhen Wang, Bicheng Yang
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