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Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文
IEEE ACCESS, 2018, 期号: 6, 页码: 59001 - 59014
作者:  Chengbao,Liu;  Jie, Tan;  Heyuan,Shi;  Xuelei,Wang
浏览  |  Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：347/97  |  提交时间：2019/04/30
Lithium-ion Cell Screening  Time-series Clustering  Resampling  Convolutional Neural Networks  
Lithium-Ion Cell Screening W th Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 期号: 无, 页码: 59001-59014
作者:  Liu, Chengbao;  Tan, Jie;  Shi, Heyuan;  Wang, Xuelei
浏览  |  Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：356/69  |  提交时间：2019/01/08
Lithium-ion cell screening  time-series clustering  resampling  convolutional neural networks  
Multiple Classifier Fusion and Optimization Automation Focal Cortical Dysplasia Detection on Magnetic Resonance Images 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 73786-73801
作者:  Qu, Xiaoxia;  Yang, Jian;  Platis, Ljiljana;  Kumcu, Asli;  Ai, Danni;  Goossens, Bart;  Bai, Tingzhu;  Wang, Yongtian;  Sui, Jing;  Deblaere, Karel;  Philips, Wilfried
收藏  |  浏览/下载：235/0  |  提交时间：2019/07/12
Focal cortical dysplasia  magnetic resonance image  brain lesion detection  optimal weighted multiple classifiers  genetic algorithm  
Dominant and Complementary Emotion Recognition From Still Images of Faces 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 26391-26403
作者:  Guo, Jianzhu;  Lei, Zhen;  Wan, Jun;  Avots, Egils;  Hajarolasvadi, Noushin;  Knyazev, Boris;  Kuharenko, Artem;  Silveira Jacques Junior, Julio C.;  Baro, Xavier;  Demirel, Hasan;  Escalera, Sergio;  Allik, Jueri;  Anbarjafari, Gholamreza
浏览  |  Adobe PDF(14104Kb)  |  收藏  |  浏览/下载：302/72  |  提交时间：2018/10/04
Dominant and complementary emotion recognition  compound emotions  fine-grained face emotion dataset  
Joint Feature and Similarity Deep Learning for Vehicle Re-identification 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 43724-43731
作者:  Zhu, Jianqing;  Zeng, Huanqiang;  Du, Yongzhao;  Lei, Zhen;  Zheng, Lixin;  Cai, Canhui
收藏  |  浏览/下载：179/0  |  提交时间：2019/12/16
Vehicle Re-identification  Feature Representation  Similarity Learning  Deep Learning  
BundleNet Learning with Noisy Label via Sample Correlations 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 期号: 1, 页码: 2367-2377
作者:  Li, Chenghua;  Zhang, Chunjie;  Ding, Kun;  Li, Gang;  Cheng, Jian;  Lu, Hanqing;  Jian Cheng
浏览  |  Adobe PDF(1606Kb)  |  收藏  |  浏览/下载：552/229  |  提交时间：2018/05/05
Bundlenet  Sequential Data  Classification  Noisy Label  Regularization  
Design and Vision Based Autonomous Capture of Sea Organism With Absorptive Type Remotely Operated Vehicle 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 73871-73884
作者:  Li Ji-Yong;  Zhou Hao;  Huang Hai;  Yang Xu;  Wan Zhaoliang;  Wan Lei
收藏  |  浏览/下载：251/0  |  提交时间：2019/07/12
Remotely operated vehicle vision servo control target recognition  
A Novel Case of Practical Exponential Observer Using Extended Kalman Filter 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 58004-58011
作者:  Ji, Daxiong;  Deng, Zhi;  Li, Shuo;  Ma, Dongfang;  Wang, Tao;  Song, Wei;  Zhu, Shiqiang;  Wang, Zhi;  Pan, Hongjun;  Sharma, Sanjay;  Yang, Xu
收藏  |  浏览/下载：223/0  |  提交时间：2019/01/08
Discrete-time nonlinear system  extended Kalman filter  exponential observer  restrictions  spectral norm  
Process Modeling and Monitoring With Incomplete Data Based on Robust Probabilistic Partial Least Square Method 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 10160-10168
作者:  Li, Qinghua;  Pan, Feng;  Zhao, Zhonggai;  Yu, Junzhi
收藏  |  浏览/下载：140/0  |  提交时间：2018/10/10
Process Modeling  Process Monitoring  Robust Ppls Method  Missing Data  
Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 61677-61685
作者:  Carneiro, Tiago;  Medeiros Da Nobrega, Raul Victor;  Nepomuceno, Thiago;  Bian, Gui-Bin;  De Albuquerque, Victor Hugo C.;  Reboucas Filho, Pedro Pedrosa
收藏  |  浏览/下载：293/0  |  提交时间：2019/01/08
Deep learning  Colab  convolutional neural networks  Google colaboratory  GPU computing  Deep learning  Colab  convolutional neural networks  Google colaboratory  GPU computing