The paper proposes experimental studies with Software Defined Radio receivers of aerial objects onboard systems signals. It is established that the signals of the following channels are additional sources of signals, ...
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Machine learning systems have gained tremendous attention in solving complex tasks. For instance, image classification using machine learning has multiple applications in the medical field, where different imaging mod...
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The ongoing technical progress needs in deepening the partnership of engineering educational institutions. The EuroTeQ University Alliance, created by six leading European universities of science and technology, repre...
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Developing the remaining useful life (RUL) prediction technology for lithium-ion batteries can effectively provide information for battery maintenance and diagnosis. Although there has been some development in battery...
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As the core basis of industrial reform in the new era, artificial intelligence can improve the development level of informatization, automation and intelligence in the field of civil engineering, and lay the foundatio...
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Amount of experiment-related data in almost every domain has increased multifold. Hence, Understanding these novel datasets' essential characteristics is vital to developing complex statistical models and testing ...
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Visible-Infrared Person Re-identification (VI-ReID) would effectively improve the recognition performance in weak-lighting and nighttime scenes, which is an important research direction in pattern recognition and comp...
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We focused on reducing the experimental cost of obtaining mid-infrared absorption spectra using machine learning techniques. The large amount of spectral data from HITRAN and quantum scientific calculations can be a u...
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Autonomous vehicles have become a popular topic with the development of technology. In the early stages of an automated driving system, the key to correctly guiding the vehicle's behavior lies in the effective col...
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The use of large datasets is essential in surgical robotics to advance in the field of recognition and automation of surgical tasks. Furthermore, public datasets allow the comparison of different algorithms and method...
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