MAIN FACTORS INFLUENCING THE ORGANIZATION OF PSYCHOPHYSIOLOGICAL ACTIVITY OF STUDENTS



Measuring physical disorder of architectural façades for informing better urban renewal using deep learning and space syntax

With the emergence of human-centered urban development goals and the increasing pursuit of a better quality of life, the architectural façades of cities are receiving growing attention.However, during the process of urban development, architectural façades often experience physical disorder.This phenomenon tends to be overlooked in targeted urban

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Multichannel Signals Reconstruction Based on Tunable Q-Factor Wavelet Transform-Morphological Component Analysis and Sparse Bayesian Iteration for Rotating Machines

High-speed remote transmission and large-capacity data storage are difficult issues in signals acquisition of rotating machines condition monitoring.To address these concerns, a novel multichannel signals reconstruction approach based on tunable Q-factor wavelet transform-morphological component analysis (TQWT-MCA) and sparse Bayesian iteration alg

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