RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance [PDF]
, 2022 Coronary artery disease (CAD) is a prevalent disease with high morbidity and mortality rates. Invasive coronary angiography is the reference standard for diagnosing CAD but is costly and associated with risks.
Shoeibi, Afshin +17 more
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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 (Basel), 2020 Hu G, Wan H, Li X.
europepmc +2 more sources
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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Architecture of Convolutional Neural Network (CNN).
, 2023 Architecture of Convolutional Neural Network (CNN).
Anjana Makoonlall (15187823) +3 more
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RL-CNN: Reinforcement Learning-designed Convolutional Neural Network for Urban Traffic Flow Estimation [PDF]
, 2021 Accurate prediction of urban traffic flows brings enormous advantages to big cities. Therefore, many urban traffic flow predictors have been developed in recent years.
Susana Sargento +9 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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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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Metals, 2022 Controlled cooling technology is widely used in hot-rolled steel plate production lines. The final cooling temperature directly affects the microstructure and properties of steel plates, but cooling and heat transfer constitutes a nonlinear process ...
Xiao Hu +3 more
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