Results 21 to 30 of about 5,510,322 (305)
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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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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Architecture of Convolutional Neural Network (CNN).
, 2023 Architecture of Convolutional Neural Network (CNN).
Anjana Makoonlall (15187823) +3 more
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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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Inference time for each Convolutional Neural Network (CNN) model.
, 2022 Inference time for each Convolutional Neural Network (CNN) model.
Min-Chang Jang (12133336) +8 more
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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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The framework of self-designed convolutional neural network (self-designed CNN).
, 2023 The framework of self-designed convolutional neural network (self-designed CNN).
Zhiqiang Ma (127376) +4 more
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Forecasting Nonadiabatic Dynamics using Hybrid Convolutional Neural Network/Long Short-Term Memory Network [PDF]
, 2021 Modeling nonadiabatic dynamics in complex molecular or condensed-phase systems has been challenging especially for the long-time dynamics. In this work, we propose a time series machine learning scheme based on the hybrid convolutional neural network ...
Jiebo, Li +3 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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Comparison of diagnostic performance for each Convolutional Neural Network (CNN) model.
, 2022 Comparison of diagnostic performance for each Convolutional Neural Network (CNN) model.
Min-Chang Jang (12133336) +8 more
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