Cooperative Intelligent Transport Systems (C-ITS) are emerging in the field of transportation
systems, which can be used to provide safety, sustainability, efficiency, communication and …

This study proposes a hybrid Quantum-Deep Learning framework to enhance the efficiency
and accuracy of land cover classification. The approach integrates a Quantum Gaussian …

Machine learning methods and agent-based models enable the optimization of the
operation of high-capacity facilities. In this paper, we propose a method for automatically …

The abnormal detection of moving objects in intelligent video surveillance system plays an
important role in early warning for man‐made disasters. However, the current abnormal …

Anomalous trajectory detection is an important approach to detecting taxi fraud behaviors in
urban traffic systems. The existing methods usually ignore the integration of the trajectory …

The problem of estimating the state of complex technical objects based on the analysis of
time series anomalies is considered. It is shown that to solve this problem it is necessary to …

Задача оценки остаточного ресурса сложных технических систем становится в по
следнее время все более актуальной. Для достоверной оценки этого показателя …

In this paper, we provide a technique for identifying outliers based on embedding trajectory
deviation points and deep clustering. We begin by constructing the network topology and the …

Задача оценки остаточного ресурса сложных технических систем становится в
последнее время все более актуальной. Для достоверной оценки этого показателя …