Technical institutes
Research conducted by Beijing University of Technology's Xiao Lv and Hongyi Lin, with the collaboration of Zhe Chen, has developed a novel risk assessment framework to protect China's traditional villages from natural disasters. The framework integrates three dimensions: natural environment, tangible heritage elements, and disaster prevention
Technical institutes
Researchers from the Beijing University of Technology have conducted a study to explore the effectiveness of a point smoke exhaust system in an asymmetrical V-shaped tunnel. The study, funded by the Beijing Natural Science Foundation, aimed to determine the optimal smoke exhaust rate and vent opening configuration for smoke control
Technical institutes
Researchers from the Beijing University of Technology have developed a novel multi-level ensemble network for automatic pneumonia diagnosis from full slice CT images, achieving a remarkable accuracy of 91.4% in a four-class pneumonia diagnosis task. This breakthrough study showcases the potential of deep learning-driven techniques in revolutionizing the field
Technical institutes
Researchers from Beijing University of Technology have made significant strides in tunnel crack detection with the development of a novel algorithm, showcasing the importance of precise identification of early indicators of tunnel damage. This breakthrough has far-reaching implications for the safe operation of tunnels, a critical infrastructure for urban development
Technical institutes
Researchers at Beijing University of Technology have developed a novel approach to disturbance rejection for nonlinear systems, incorporating the Kalman filter into the equivalent-input-disturbance (EID) structure. This innovative method has been funded by the National Key Research And Development Project and published in the journal Actuators. The approach has been
