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Konstantinos P. Fourkiotis and Athanasios Tsadiras
In today?s evolving global world, the pharmaceutical sector faces an emerging challenge, which is the rapid surge of the global population and the consequent growth in drug production demands. Recognizing this, our study explores the urgent need to stren...
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Hui Li, Yongjun Chen, Yang Yang, Shixin Wang, Ling Bai and Ling Zhou
The centrifugal pump is one of the most widely used types of power machinery in the field of ship and ocean engineering, and the shape of the impeller blade trailing edge has an important influence on their performance. To reveal the mechanism of the eff...
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Jean-Luc Henry, Jimmy Nagau, Jean Velin and Issa-Paul Moussa
This article concerns the improvement of digital image quality using mathematical tools such as nonlinear partial differential operators. In this paper, to perform smoothing on digital images, we propose to use the p(x)-Laplacian operator. Its smoothing ...
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Yuqing Yin, Xuehan Zhang, Rixia Lan, Xiaoyu Sun, Keli Wang and Tianbing Ma
This study proposes a new approach to gait recognition using LoRa signals, taking into account the challenging conditions found in underground coal mines, such as low illumination, high temperature and humidity, high dust concentrations, and limited spac...
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Victor Ramos, Gianmaria Giannini, Tomás Calheiros-Cabral, Mario López, Paulo Rosa-Santos and Francisco Taveira-Pinto
The combined exploitation of wave and offshore wind energy resources is expected to improve the cost competitiveness of the wave energy industry as a result of shared capital and operational costs. In this context, the objective of this work is to explor...
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Yongbao Chen, Zhe Chen, Xiaolei Yuan, Lin Su and Kang Li
The penetration rates of intermittent renewable energies such as wind and solar energy have been increasing in power grids, often leading to a massive peak-to-valley difference in the net load demand, known as a ?duck curve?. The power demand and supply ...
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Juan Yang, Xingwang Bao and Zhangang Yang
Accurate identification of electrical load working status can provide information support to the remote electrical distribution system (EDS) of more electric aircraft (MEA), which could use it to realize redundant switching and protection. This paper pre...
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Pieter Cawood and Terence Van Zyl
The techniques of hybridisation and ensemble learning are popular model fusion techniques for improving the predictive power of forecasting methods. With limited research that instigates combining these two promising approaches, this paper focuses on the...
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Mario López, Noel Rodríguez and Gregorio Iglesias
To mitigate the effects of wind variability on power output, hybrid systems that combine offshore wind with other renewables are a promising option. In this work we explore the potential of combining offshore wind and solar power through a case study in ...
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Eduar Jamis Mejía Vásquez,Salome Gonzales Chávez
Pág. 181 - 191
El objetivo de este trabajo es predecir el consumo de energía eléctrica residencial de la Región Cajamarca mediante modelos Holt-Winters. Este procedimiento de modelización predictiva es útil para la predicción a corto y mediano plazo de ventas de energí...
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