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Yanzhong Yin, Qunyong Wu and Mengmeng Li
Understanding intercity mobility patterns is important for future urban planning, in which the intensity of intercity mobility indicates the degree of urban integration development. This study investigates the intercity mobility patterns of the Greater B...
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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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Francesco Scotto di Luzio, Francesca Cordella, Marco Bravi, Fabio Santacaterina, Federica Bressi, Silvia Sterzi and Loredana Zollo
The central nervous system (CNS) is able to control a very high number of degrees of freedom to perform complex movements of both upper and lower limbs. However, what strategies the CNS adopts to perform complex tasks are not completely clear and are sti...
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Yu Zhang, Maoshen Jia, Xinyu Jia and Tun-Wen Pai
Multiple sound source separation in a reverberant environment has become popular in recent years. To improve the quality of the separated signal in a reverberant environment, a separation method based on a DOA cue and a deep neural network (DNN) is propo...
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Domenico Buongiorno, Giacomo Donato Cascarano, Cristian Camardella, Irio De Feudis, Antonio Frisoli and Vitoantonio Bevilacqua
The growing interest in wearable robots opens the challenge for developing intuitive and natural control strategies. Among several human?machine interaction approaches, myoelectric control consists of decoding the motor intention from muscular activity (...
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