However, the presence of medium vehicles strengthens the influence of inertia force rather than buoyant force of fire plume in the tunnel. Accordingly, when there is a short distance between fires and medium obstructions, less air ventilation is needed to prevent smoke back-layering. Eventually, ...
named CAERES-DNN, for predicting smoke spread in subway tunnel fire. CAERES-DNN constitutes of CAERES (convolutional autoencoder with residual blocks) architecture and DNN (deep neural network) architecture. CAERES has 26 convolutional layers
“person”. To facilitate model training, the size of all images was resized to 640×640. The YOLOv8 model was customized to suit the tunnel fire object detection task in the present work. The input comprised video frames from social media, and the output was updated to five nodes, which...
Thus, 360GPR has scope to form a visualisation framework meeting at least three of our five effectiveness criteria, feasibly disrupting the current RTSSI hardware market. At this point, owing to the larger proportion of relevant literature focused on addressing our conveyance criteria, we discuss th...
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