Results 11 to 20 of about 843 (158)
Recognition of facial emotion based on SOAR model [PDF]
Frontiers in NeuroscienceIntroductionExpressing emotions play a special role in daily communication, and one of the most essential methods in detecting emotions is to detect facial emotional states.
Matin Ramzani Shahrestani +2 more
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Surgical workflow recognition with 3DCNN for Sleeve Gastrectomy [PDF]
International Journal of Computer Assisted Radiology and Surgery, 2021 Abstract Purpose Surgical workflow recognition is a crucial and challenging problem when building a computer-assisted surgery system. Current techniques focus on utilizing a convolutional neural network and a recurrent neural network (CNN–RNN) to solve the surgical workflow recognition problem.
Bokai Zhang +4 more
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Compressing 3DCNNs based on tensor train decomposition [PDF]
Neural Networks, 2020 Accepted by Neural Networks.
Dingheng Wang +4 more
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Detecting Deepfake Videos with Temporal Dropout 3DCNN [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 While the abuse of deepfake technology has brought about a serious impact on human society, the detection of deepfake videos is still very challenging due to their highly photorealistic synthesis on each frame. To address that, this paper aims to leverage the possible inconsistent cues among video frames and proposes a Temporal Dropout 3-Dimensional ...
Daichi Zhang +4 more
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Remote Sensing, 2022 Hyperspectral Remote Rensing Image (HRSI) classification based on Convolution Neural Network (CNN) has become one of the hot topics in the field of remote sensing.
Wenmei Li +5 more
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BEMD-3DCNN-based method for COVID-19 detection
Computers in Biology and Medicine, 2022 The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research projects to understand the nature of the virus, how to detect it, and search for the most effective medicine to help and protect ...
Ali Riahi +2 more
openaire +4 more sources
A New Deep-Learning Method for Human Activity Recognition
Sensors, 2023 Currently, three-dimensional convolutional neural networks (3DCNNs) are a popular approach in the field of human activity recognition. However, due to the variety of methods used for human activity recognition, we propose a new deep-learning model in ...
Roberta Vrskova +3 more
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BEMD-3DCNN-Based Method for COVID-19 Detection [PDF]
, 2021 Abstract Coronavirus outbreak continues to spread around the world and none knows when it will stop. Therefore, from the first day of the virus identification in Wuhan, scientists have launched numerous research projects to understand the nature of the virus, how to detect it, and search for the right medicine to help and protect patients.
Ali Riahi +3 more
openaire +1 more source
Applied Sciences, 2020 Using hand gestures is a natural method of interaction between humans and computers. We use gestures to express meaning and thoughts in our everyday conversations.
Dinh-Son Tran +5 more
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Resting state network mapping in individuals using deep learning
Frontiers in Neurology, 2023 IntroductionResting state functional MRI (RS-fMRI) is currently used in numerous clinical and research settings. The localization of resting state networks (RSNs) has been utilized in applications ranging from group analysis of neurodegenerative diseases
Patrick H. Luckett +17 more
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