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Ismael Orozco, Félix Francés and Jesús Mora
The success of hydrological modeling of a high mountain basin depends in most case on the accurate quantification of the snowmelt. However, mathematically modeling snowmelt is not a simple task due to, on one hand, the high number of variables that can b...
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Nadja Gomes Machado,Thiago Meirelles Ventura,Victor Hugo de Morais Danelichen,Carlos Alexandre Santos Querino,Marcelo Sacardi Biudes
Rainfall is the key element in regional water balance, and has direct influence over economic activity. Quantifying rainfall at spatial and temporal scales in regions where meteorological stations are scarce is important for agriculture, natural resource...
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Dewi Purnama,Budiono Budiono,Anhar Fauzan Priyono
Pág. 220 - 237
Abstract: The phenomenon of global current account imbalance has made researchers and policy makers provide more attention on current account issues. This phenomenon is illustrated by the US' current account deficit which continues to increase, while ASE...
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Filiz Mizrak, Serhat Yüksel
Pág. 33 - 50
The purpose of this study is to determine major indicators of the Greek crisis that started in 2009 and the effects of which can still be observed. In this regard, 8 independent variables were applied so as to fulfill the objective. Besides, the annual d...
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Jing Liu, Xuesong Hai and Keqin Li
Massive amounts of data drive the performance of deep learning models, but in practice, data resources are often highly dispersed and bound by data privacy and security concerns, making it difficult for multiple data sources to share their local data dir...
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Jakub Hospodka, Jindrich Sadil, Helena Bínová, Kekula Franti?ek, Hyk? Oldrich, Hyk?ová Magdalena and Neubergová Kristýna
We present a comprehensive methodology for a two-step approach to address the task at hand. The first step involves the optimal placement of charging stations, while the second step focuses on determining the necessary capacity of the charging stations b...
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Yoga Sasmita, Heri Kuswanto and Dedy Dwi Prastyo
Standard time-series modeling requires the stability of model parameters over time. The instability of model parameters is often caused by structural breaks, leading to the formation of nonlinear models. A state-dependent model (SDM) is a more general an...
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Catarina Gonçalves Dias, Inna Choban de Sousa Paiva and Luísa Cagica Carvalho
This study draws on agency theory and evaluates the effect of the remuneration structures of board members on earnings management, proxied by discretionary accruals. To achieve the objective, this study uses a multiple regression model and a hand-collect...
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Alvaro A. Teran-Quezada, Victor Lopez-Cabrera, Jose Carlos Rangel and Javier E. Sanchez-Galan
Convolutional neural networks (CNN) have provided great advances for the task of sign language recognition (SLR). However, recurrent neural networks (RNN) in the form of long?short-term memory (LSTM) have become a means for providing solutions to problem...
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Nair Emmanuela da Silveira Pereira, Susana Beatriz Vinzón, Marcos Nicolás Gallo and Mariela Gabioux
On the southeastern coast of Brazil, the bays of Ilha Grande and Sepetiba are linked by the Ilha Grande Channel, where remarkably strong currents have been consistently observed. Tidal forces cannot explain the strength of these currents. Previous resear...
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