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Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t...
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Ho-Jun Yoo, Hyoseob Kim, Tae-Soon Kang, Ki-Hyun Kim, Ki-Young Bang, Jong-Beom Kim and Moon-Sang Park
Coastal erosion is caused by various factors, such as harbor development along coastal areas and climate change. Erosion has been accelerated recently due to sea level rises, increased occurrence of swells, and higher-power storm waves. Proper understand...
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Jhon Lennon Bezerra da Silva, Marcos Vinícius da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Pabrício Marcos Oliveira Lopes, Henrique Fonseca Elias de Oliveira, Josef Augusto Oberdan Souza Silva, Márcio Mesquita, Ailton Alves de Carvalho, Alan Cézar Bezerra, José Francisco de Oliveira-Júnior, Maria Beatriz Ferreira, Iara Tamires Rodrigues Cavalcante, Elania Freire da Silva and Geber Barbosa de Albuquerque Moura
Northeast Brazil (NEB), particularly its semiarid region, represents an area highly susceptible to the impacts of climate change, including severe droughts, and intense anthropogenic activities. These stresses may be accelerating environmental degradatio...
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Liuyi Chen, Bocheng Han, Xuesong Wang, Jiazhen Zhao, Wenke Yang and Zhengyi Yang
With the rapid development of artificial intelligence, machine learning is gradually becoming popular for predictions in all walks of life. In meteorology, it is gradually competing with traditional climate predictions dominated by physical models. This ...
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Attila Varga and László Révész
The authors of the present study explored how ICT devices used in P.E. lessons determine psychomotor performance, perceived motivational climate, and motivation. The students were allowed to use ICT devices (smartphone, webpages, Facebook) during a four-...
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