Occupational Therapy International, 2022 In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the ...
Qinying Yuan
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Handwritten Digits Recognition Based on Fused Convolutional Neural Network Model [PDF]
Jisuanji gongcheng, 2017 Aiming at the problem that the recognition rate of traditional handwritten digits recognition method is low,this paper proposes a Fused Convolutional Neural Network(F-CNN) model.By combining the high-level features of the Siamese Network(SN) model and ...
CHEN Xuan,ZHU Rong,WANG Zhongyuan
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Gear fault diagnosis based on SGMD noise reduction and CNN
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2022 Gear vibration fault signals are non-stationary and nonlinear, so it is very difficult to accurately extract the fault characteristics for diagnosis. As symplectic geometry mode decomposition (SGMD) has shown excellent decomposition performance and noise
Wei CHEN +3 more
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A High-Precision Magnetic-Assisted Heading Angle Calculation Method Based on a 1D Convolutional Neural Network (CNN) in a Complicated Magnetic Environment [PDF]
Micromachines, 2020 Hu G, Wan H, Li X.
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Image classification of intelligent farm based on convolutional neural network
Dianzi Jishu Yingyong, 2023 In order to solve the problem of perception and no decision-making in the agricultural modernization of Xinjiang Corps, an image classification method (TL-DA-SE-CNN) based on attention mechanism module (SENet) and convolutional neural network hybrid ...
Yang Yibin, Wang Junqiang, Chai Shihao
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Research on Hierarchical Decomposition of Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2019 With the continuous development of deep learning,Convolutional Neural Network(CNN) have received extensive attention from researchers in target detection and image classification.CNN have evolved from LeNet-5 networks to deep residual networks,and the ...
KE Yan, LIN Xiaozhu, LIAO Rui, WEI Zhanhong
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CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2021 11 pages, 14 figures, to be presented at IEEE VIS 2020. For a demo video, see https://youtu.be/HnWIHWFbuUQ . For a live demo, visit https://poloclub.github.io/cnn-explainer/
Zijie J. Wang +7 more
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Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification [PDF]
Artificial Intelligence in Medicine, 2019 Daniel Rubin, , Curtis Langlotz
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Applied Sciences, 2022 There are a lot of developing countries with inadequate meteorological stations to measure solar radiation. This has been a major drawback for solar power applications in these countries as the performance of the solar-powered system cannot be accurately
Mustapha Mukhtar +6 more
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Simulation research on UAV recognition method based on convolutional neural network
Journal of Hebei University of Science and Technology, 2019 In order to improve the accuracy of identifying the target image while the drone is sailing, a hybrid model combining convolutional neural network (CNN) and probabilistic neural network (PNN) is proposed.
Ran ZHEN +3 more
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