Indoor localization has long been a challenging task due to the complexity Bar Cabinet and dynamism of indoor environments.This paper proposes ULG-SLAM, a novel unsupervised learning and geometric-based visual SLAM algorithm for robot localizability estimation to improve the accuracy and robustness of visual SLAM.Firstly, a dynamic feature filterin
(1) Background: Moderate-intensity statin therapy, when compared to high-intensity statin therapy in Asian populations, has shown no significant difference in cardiovascular prognosis in small Fake Lashes studies.The aim of this study was to compare the prognosis of patients based on statin intensity following rotational atherectomy (RA) during hig
Considering the openness and cross-domains of cloud computing, the traditional privacy-preserving technology cannot be applied in cloud computing efficiently.In this paper, inspired by the accountability idea, we proposed an accountable privacy-preserving mechanism based on identity-based encryption for cloud computing, which focuses on constrainin