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Rosario Ceravolo, Erica Lenticchia, Gaetano Miraglia, Valerio Oliva and Linda Scussolini
System identification proves in general to be very efficient in the extraction of modal parameters of a structure under ambient vibrations. However, great difficulties can arise in the case of structures composed of many connected bodies, whose mutual in...
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Dejian Guan, Wentao Zhao and Xiao Liu
Recent studies show that deep neural networks (DNNs)-based object recognition algorithms overly rely on object textures rather than global object shapes, and DNNs are also vulnerable to human-less perceptible adversarial perturbations. Based on these two...
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Christos Valouxis, Christos Gogos, Angelos Dimitsas, Petros Potikas and Anastasios Vittas
Machine scheduling is a hard combinatorial problem having many manifestations in real life. Due to the schedule followed, the possibility of installations of machines operating sub-optimally is high. In this work, we examine the problem of a single machi...
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Swantje Romig, Luc Jaulin and Andreas Rauh
In recent years, many applications, as well as theoretical properties of interval analysis have been investigated. Without any claim for completeness, such applications and methodologies range from enclosing the effect of round-off errors in highly accur...
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D.G. Milledge, S.K. Gurjar, J.T. Bunce, V. Tare, ... P.E. Carbonneau
Pág. 82 - 91
For millions of people worldwide, sewage-polluted surface waters threaten water security, food security and human health. Yet the extent of the problem and its causes are poorly understood. Given rapid widespread global urbanisation, the impact of urban ...
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