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Found 4 papers, 2 papers with code
FallDeF5: A Fall Detection Framework Using 5G-based Deep Gated Recurrent Unit Networks
Edge computing can reduce the cost of cloud communication, including high latency and bandwidth use, by moving conventional healthcare services and applications closer to end-users.
Densely Deformable Efficient Salient Object Detection Network
In this paper, inspired by the best background/foreground separation abilities of deformable convolutions, we employ them in our Densely Deformable Network (DDNet) to achieve efficient SOD.
Ranked #4 on
RGB-D Salient Object Detection
on SIP
(Average MAE metric, using extra
training data)
Detection of Myocardial Infarction Based on Novel Deep Transfer Learning Methods for Urban Healthcare in Smart Cities
In case of using VGG-MI1, we achieved an accuracy, sensitivity, and specificity of 99. 02%, 98. 76%, and 99. 17%, respectively and we achieved an accuracy of 99. 22%, a sensitivity of 99. 15%, and a specificity of 99. 49% with VGG-MI2 model.
Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features
In this paper, we propose a novel action recognition method by processing the video data using convolutional neural network (CNN) and deep bidirectional LSTM (DB-LSTM) network.
