The implementation of large-scale containment measures by governments to contain the spread of the COVID-19 virus has resulted in large impacts to the global economy.Here, we derive a new high-frequency indicator of economic activity using empirical vessel tracking data, and use it to estimate the global maritime trade losses during the first eight
Violent interaction detection is a hot topic in computer vision.However, the recent research works on violent interaction detection mainly focus on the traditional hand-craft features, and does not make full use of the research results of deep learning in computer vision.In this paper, we propose a new robust violent interaction detection framework
BackgroundThe uncertain environments of future space missions means that astronauts will need to acquire new skills rapidly; thus, a non-invasive method to enhance learning of complex tasks is desirable.Stochastic resonance (SR) is a phenomenon where adding noise improves the throughput of a weak signal.SR has been shown to improve perception and c
Software defect prediction provides actionable outputs to software teams while contributing to industrial success.Empirical studies have been conducted on software defect prediction for both cross-project and within-project defect prediction.However, existing studies have yet to Lapel Pins demonstrate a method of predicting the number of defects in
Existing move-restricted node self-deployment algorithms are based on a fixed node communication radius, evaluate the performance based on network coverage or the connectivity rate and do not consider the number of nodes near the sink node and the energy consumption distribution of the network topology, thereby degrading network reliability and the