The center of attraction of the present study is the application of neural networks for combining data arising from dynamic audiovisual sources made by ultrasound and magnetic resonance imaging methods, which store im...
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Federated learning (FL) provides a higher privacy guarantee for data sharing in a multi-party computation environment. However, how to invite participants to federated training if they already have a self-sanitized da...
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Localization and position estimation are crucial tasks in autonomous driving. In addition to the importance of positioning, with good quality position tracking, it is possible to implement sophisticated data collectio...
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Industrial Control Systems (ICSs) utilize different sensors and various embedded systems to operate. Devices often communicate using protocols like Siemens Step 7 and Modbus, which were designed for use in closed netw...
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Lateral acceleration is a key element of vehicle dynamics. It is consumed by several control, stability and comfort functions of the vehicle. In this paper a neural network-based prediction method is demonstrated for ...
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Object recognition in 3D point clouds is an important and widely researched topic. We propose a novel method based on local point descriptors. We detect edge points on the scene and object clouds, and construct a weig...
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Extension of real data by synthetic data becomes more important aspect of the virtualization technics today. In this paper we demonstrate how synthetic data generated from real data can be used in the supervised class...
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Traffic flows gain more and more attention in transportation engineering. One possible means of understanding the traffic flow in a city is to gather sequences of traffic position data, called link flows, measured by ...
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The Internet of Things is quickly developing and it enables exciting new applications, but at the same time, it also brings new security risks. In particular, embedded IoT devices may be subject to malware infection, ...
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The similarity between songs is an important part of the MIR (Music information Retrieval), but the definition of the similarity is very subjective. Similarity can be used, for example, in recommendation systems. Thes...
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