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Junyi Yang, Yutong Yao and Donghe Yang
Due to the complexity of the underwater environment, tracking underwater targets via traditional particle filters is a challenging task. To resolve the problem that the tracking accuracy of a traditional particle filter is low due to the sample impoveris...
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Ivan G. Ivanov, Yordan Kumchev and Vincent James Hooper
Stroke is a major public health issue with significant economic consequences. This study aims to enhance stroke prediction by addressing imbalanced datasets and algorithmic bias. Our research focuses on accurately and precisely detecting stroke possibili...
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Mingxuan Li, Ou Li, Guangyi Liu and Ce Zhang
Recently, automatic modulation recognition has been an important research topic in wireless communication. Due to the application of deep learning, it is prospective of using convolution neural networks on raw in-phase and quadrature signals in developin...
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Ahmad Abu Alrub,Husam Rjoub,Mehmet Aga,Murad Bein
Pág. 250 - 257
This study investigates the linkage between oil price index and stock price index in six GCC countries in two folds. Firstly, it studies the long-run relationship linking the stock price Index (SPI) and the oil price Index (OPI) for the time span, ...
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Wei-Bo Chen and Wen-Cheng Liu
A large amount of accurate river cross-section data is indispensable for predicting river stages. However, the measured river cross-section data are usually sparse in the transverse direction at each cross-section as well as in the longitudinal direction...
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