Detection of sealed and unsealed cracks with complex backgrounds using deep convolutional neural network
Sign Up to like & getrecommendations! Published in 2019 at "Automation in Construction"
DOI: 10.1016/j.autcon.2019.102946
Abstract: Abstract Crack Deep Network (CrackDN) is proposed in this research with the purpose of detecting sealed and unsealed cracks with complex road backgrounds. CrackDN is based on Faster Region Convolutional Neural Network (Fast-RCNN) architecture by… read more here.
Keywords: detection; sealed unsealed; network; convolutional neural ... See more keywords
Do They Really Work? Quantifying Fabric Mask Effectiveness to Improve Public Health Messaging
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19116372
Abstract: The purpose of this study is to compare masks (non-medical/fabric, surgical, and N95 respirators) on filtration efficiency, differential pressure, and leakage with the goal of providing evidence to improve public health messaging. Masks were tested… read more here.
Keywords: health; public health; mask; sealed unsealed ... See more keywords