Anonymous proxies are used by criminals read more for illegal network activities due to their anonymity, such as data theft and cyber attacks.Therefore, anonymous proxy traffic detection is very essential for network security.In recent years, detection based on deep learning has become a hot research topic, since deep learning can automatically ext
Abstract Background The use of spectral imaging within the plant phenotyping and breeding community has been increasing due its utility as a non-invasive diagnostic tool.However, there is a lack of imaging systems targeted specifically at plant science duties, resulting in low precision for canopy-scale measurements.This study trials a prototype mu
Multimodal emotion analysis involves the integration of information from various modalities to better understand human emotions.In this paper, we propose the Cross-modal Emotion Recognition based on multi-layer semantic fusion (CM-MSF) model, which aims to leverage the complementarity of important information between modalities and extract advanced
Abstract Background The purpose of our study was to describe and evaluate management, performance and results of Tuberculosis (TB)-screening among refugees and asylum seekers in a rural area in Germany in 2015.Methods Refugees or asylum seekers, staying in shared-accommodation are obligated to participate on screening chest X-ray citronella horse s