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A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals
A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals
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A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals

Zhang, Zhiwen ; Duan, Feng ; Sole-Casals, Jordi ; Dinares-Ferran, Josep ; Cichocki, Andrzej ; Yang, Zhenglu ; Sun, Zhe

IEEE access, 2019, Vol.7, p.15945-15954 [Periódico revisado por pares]

Piscataway: IEEE

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A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases
A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases
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A Unified Matrix-Based Convolutional Neural Network for Fine-Grained Image Classification of Wheat Leaf Diseases

Lin, Zhongqi ; Mu, Shaomin ; Huang, Feng ; Mateen, Khattak Abdul ; Wang, Minjuan ; Gao, Wanlin ; Jia, Jingdun

IEEE access, 2019, Vol.7, p.11570-11590 [Periódico revisado por pares]

Piscataway: IEEE

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3
S-EEGNet: Electroencephalogram Signal Classification Based on a Separable Convolution Neural Network with Bilinear Interpolation
S-EEGNet: Electroencephalogram Signal Classification Based on a Separable Convolution Neural Network with Bilinear Interpolation
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S-EEGNet: Electroencephalogram Signal Classification Based on a Separable Convolution Neural Network with Bilinear Interpolation

Huang, Wenkai ; Xue, Yihao ; Hu, Lingkai ; Liuli, Hantang

IEEE access, 2020-01, Vol.8, p.1-1 [Periódico revisado por pares]

Piscataway: IEEE

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4
ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network
ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network
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ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network

Huang, Jingshan ; Chen, Binqiang ; Yao, Bin ; He, Wangpeng

IEEE access, 2019, Vol.7, p.92871-92880 [Periódico revisado por pares]

Piscataway: IEEE

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5
Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification
Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification
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Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification

Liang, Gaobo ; Hong, Huichao ; Xie, Weifang ; Zheng, Lixin

IEEE access, 2018-01, Vol.6, p.36188-36197 [Periódico revisado por pares]

Piscataway: IEEE

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6
Colorectal Disease Classification Using Efficiently Scaled Dilation in Convolutional Neural Network
Colorectal Disease Classification Using Efficiently Scaled Dilation in Convolutional Neural Network
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Colorectal Disease Classification Using Efficiently Scaled Dilation in Convolutional Neural Network

Poudel, Sahadev ; Kim, Yoon Jae ; Vo, Duc My ; Lee, Sang-Woong

IEEE access, 2020, Vol.8, p.99227-99238 [Periódico revisado por pares]

Piscataway: IEEE

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7
Hybrid CNN Model for Classification of Rumex Obtusifolius in Grassland
Hybrid CNN Model for Classification of Rumex Obtusifolius in Grassland
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Hybrid CNN Model for Classification of Rumex Obtusifolius in Grassland

Al-Badri, Ahmed Husham ; Ismail, Nor Azman ; Al-Dulaimi, Khamael ; Rehman, Amjad ; Abunadi, Ibrahim ; Bahaj, Saeed Ali

IEEE access, 2022, Vol.10, p.90940-90957 [Periódico revisado por pares]

Piscataway: IEEE

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8
Two-Stage Deep Learning Approach to the Classification of Fine-Art Paintings
Two-Stage Deep Learning Approach to the Classification of Fine-Art Paintings
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Two-Stage Deep Learning Approach to the Classification of Fine-Art Paintings

Sandoval, Catherine ; Pirogova, Elena ; Lech, Margaret

IEEE access, 2019, Vol.7, p.41770-41781 [Periódico revisado por pares]

Piscataway: IEEE

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9
A Novel Framework for Trash Classification Using Deep Transfer Learning
A Novel Framework for Trash Classification Using Deep Transfer Learning
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A Novel Framework for Trash Classification Using Deep Transfer Learning

Vo, Anh H. ; Hoang Son, Le ; Vo, Minh Thanh ; Le, Tuong

IEEE access, 2019, Vol.7, p.178631-178639 [Periódico revisado por pares]

Piscataway: IEEE

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10
Automatic Classification Method for Software Vulnerability Based on Deep Neural Network
Automatic Classification Method for Software Vulnerability Based on Deep Neural Network
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Automatic Classification Method for Software Vulnerability Based on Deep Neural Network

Huang, Guoyan ; Li, Yazhou ; Wang, Qian ; Ren, Jiadong ; Cheng, Yongqiang ; Zhao, Xiaolin

IEEE access, 2019, Vol.7, p.28291-28298 [Periódico revisado por pares]

Piscataway: IEEE

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