A mostrar 1,781 - 1,800 resultados de 2,219 para a pesquisa '"CNN"', tempo de pesquisa: 0.17seg Refinar resultados
1783
Por Peng Li, Cunqian Feng, Xiaowei Hu, Zixiang Tang
Publicado em 2022-04-01
... network structures have been proposed to discern the relationship between a CNN’s decision and image...
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1784
Por Bunyodbek Ibrokhimov, Justin-Youngwook Kang
Publicado em 2022-05-01
... mammography dataset demonstrate our two-stage method outperforms the original Faster R-CNN model by improving...
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1785
Por Chuanyun Xu, Huan Liu, Tenghui Li, Yang Zhang, Tian Li, Gang Li
Publicado em 2022-01-01
..., BSPVGan, Cascade CNN, IUTIS-5, WeSamBE, DeepBS, and GMM-Stauffer....
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1786
Por Xiuzhang Yang, Guojun Peng, Dongni Zhang, Yangqi Lv
Publicado em 2022-01-01
... alignment. Finally, an attention-based CNN-BiLSTM model is designed to identify malicious request attacks...
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1787
Por Gherkar Yash, Gujar Parth, Gaziyani Amaan, Kadu Siddhi
Publicado em 2022-01-01
... in Sentiment Analysis like Support Vector Machines, NB, Haar Cascade, LBPH, CNN, etc. Emerging rise...
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1788
..., the Convolutional Neural Network (CNN) method is used as a classifier to improve efficiency for obtaining more...
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1789
Por Xiao Kun, Wang Yidan, Wu Wei, Xin Qinchuan
Publicado em 2022-01-01
... (CNN) model was trained using fusion images as inputs and the label data as targets. The trained model...
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1790
Por Hui Gao, Miaolei Deng, Wenjun Zhao, Dexian Zhang, Yuehong Gong
Publicado em 2022-01-01
...Due to extreme scale variations in highly congested scenes, the accuracy of CNN-based crowd...
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1791
Por Omer Faruk Gurcan, Omer Faruk Beyca, Onur Dogan
Publicado em 2021-03-01
... deep convolutional neural network (CNN) and machine learning methods. Features are extracted from a...
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1792
... embedding variations (Word2Vec and fastText) and deep learning variations (CNN, RNN, and LSTM) to get...
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1794
Por Sedef Demirci, Seref Sagiroglu
Publicado em 2022-04-01
... news tweets and groups them under news categories in real time by using the CNN classifier which...
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1795
Por Xuezhong Wang
Publicado em 2022-05-01
..., the CNN network proposed in this paper can extract detailed features more effectively and improve...
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1796
Por Zhiguang Guan, Chenglong Hou, Siqi Zhou, Ziyi Guo
Publicado em 2022-01-01
... (CNN) is adopted in this paper. The main feature extraction network adopts CSPDarknet53 structure...
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1797
... and gradient vanishing problems. To overcome these problems, a convolutional neural network- (CNN-) based deep...
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1798
Por Bo Duan, Zhengmin Xu, Lili Pan, Wenxia Chen, Zhongwei Qiao
Publicado em 2022-01-01
..., a CNN with multiple layers and an acc of 0.54, had relatively poor effects. The GoogLeNet-trained...
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1799
... monitoring technologies to accurately characterise such vehicles. Here, we present a CNN using a decision...
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1800
... Convolutional Neural Network (CNN) architecture and matching techniques based on bifurcation minutiae extraction...
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