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Christos Bormpotsis, Mohamed Sedky and Asma Patel
In the realm of foreign exchange (Forex) market predictions, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been commonly employed. However, these models often exhibit instability due to vulnerability to data perturbations...
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Yuwen Fu, E. Xia, Duan Huang and Yumei Jing
Machine learning has been applied in continuous-variable quantum key distribution (CVQKD) systems to address the growing threat of quantum hacking attacks. However, the use of machine learning algorithms for detecting these attacks has uncovered a vulner...
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Dmitry Namiot,Eugene Ilyushin
Pág. 126 - 134
In the modern interpretation, artificial intelligence systems are machine learning systems. Often this is even further narrowed down to artificial neural networks. The robustness of machine learning systems has traditionally been considered as the main i...
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Jianguo Ning, Da Chen and Jian Li
Gaseous detonation can be used as an efficient propulsion method to serve the design of detonation engines. This work was to identify the possible effect of inhomogeneity induced by temperature perturbations on the evolution or amplification of cellular ...
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Konstantinos Stefanidis, Anna Latsiou, Theodora Kouvarda, Anastasia Lampou, Nektarios Kalaitzakis, Konstantinos Gritzalis and Elias Dimitriou
The Water Framework Directive (WFD) requires from member states to monitor hydromorphological features of rivers in order to assess their ecological quality. Thus, numerous hydromorphological assessment methods have been developed with most of them focus...
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Masataka Yamamoto, Yusuke Kishishita, Koji Shimatani and Yuichi Kurita
Decreased ability to control posture is correlated with the risk of falls among older individuals. In particular, reactive postural control ability response to even small perturbations is important for fall prevention of older individuals. The current st...
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