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浏览/检索结果: 共10条，第1-10条 帮助 限定条件 专题：天津大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Real-Time Angular Velocity-Based Misfire Detection Using Artificial Neural Networks 期刊论文 Journal of Engineering for Gas Turbines and Power, 2019, 卷号: Vol.141 No.6, 页码: 061008 作者:  Zhang, P.;  Gao, W.;  Song, Q.;  Li, Y.;  Wei, L. 收藏  |  浏览/下载：9/0  |  提交时间：2019/11/21 misfire detection  internal combustion engine  artificial neural network (ANN)  multilayer perceptron (MLP)  convolutional neural network (CNN)   EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation. 期刊论文 IEEE Transactions on Neural Networks & Learning Systems, 2019, 卷号: Vol.30 No.9, 页码: 2755-2763 作者:  Gao, Zhongke;  Wang, Xinmin;  Yang, Yuxuan;  Mu, Chaoxu;  Cai, Qing 收藏  |  浏览/下载：28/0  |  提交时间：2019/11/21 Brain modeling  Brain–computer interface (BCI)  Convolution  convolutional neural network (CNN)  deep learning (DL)  electroencephalogram (EEG)  Electroencephalography  Fatigue  fatigue driving  Feature extraction  Physiology  spatio–temporal data  Task analysis   A CNN-Based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification. 期刊论文 IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.9, 页码: 7170-7181 作者:  Guo, Alan J. X;  Zhu, Fei 收藏  |  浏览/下载：5/0  |  提交时间：2019/11/21 Adaptation models  Convolutional neural networks  deep learning  feature extraction  hyperspectral image classification  Hyperspectral imaging  Testing  Training  Training data   Estimation of Target Appliance Electricity Consumption Using Background Filtering 期刊论文 IEEE Transactions on Smart Grid, 2019, 卷号: Vol.10 No.6, 页码: 5920-5929 作者:  Gaochen Cui;  Bo Liu;  Wenpeng Luan;  Yixin Yu 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/21 Data aggregation  Neural networks  Active filters  Home appliances  Hidden Markov models  Training  Non-intrusive load monitoring  deep neural network  convolutional neural network  training data  background filtering   A CNN-Based spatial feature fusion algorithm for hyperspectral imagery classification 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.9, 页码: 7170-7181 作者:  Guo, A.J.X.;  Zhu, F. 收藏  |  浏览/下载：7/0  |  提交时间：2019/11/21 Convolutional neural networks  deep learning  feature extraction  hyperspectral image classification   Real-Time Angular Velocity- Based Misfire Detection Using Artificial Neural Networks 期刊论文 Journal of Engineering for Gas Turbines and Power, 2019, 卷号: Vol.141 No.6 作者:  Zhang, P.;  Gao, W.;  Song, Q.;  Li, Y.;  Wei, L. 收藏  |  浏览/下载：8/0  |  提交时间：2019/11/21 Artificial neural network (ann)  Convolutional neural network (cnn)  Internal combustion engine  Misfire detection  Multilayer perceptron (mlp)   A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network 期刊论文 Applied Energy, 2019, 卷号: Vol.235, 页码: 1126-1140 作者:  Wang, S.;  Chen, H. 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/21 Deep convolutional neural networks  Deep neural networks  Distributed energy  Feature extraction  Power quality disturbances   Domain Adaptation for Convolutional Neural Networks-Based Remote Sensing Scene Classification 期刊论文 IEEE Geoscience and Remote Sensing Letters, 2019, 卷号: Vol.16 No.8, 页码: 1324-1328 作者:  Song, S.;  Yu, H.;  Miao, Z.;  Zhang, Q.;  Lin, Y. 收藏  |  浏览/下载：3/0  |  提交时间：2019/11/21 Convolutional neural networks (CNN)  domain adaptation (DA)  remote sensing (RS)  scene classification  subspace alignment (SA)   Bi-stream CNN Down Syndrome screening model based on genotyping array. 期刊论文 BMC Medical Genomics, 2018, 卷号: Vol.11 Suppl 5, 页码: 105 作者:  Feng, B.a,b;  Hoskins, W.b;  Zhang, Y.b,c;  Meng, Z.b;  Samuels, D.C.d 收藏  |  浏览/下载：17/0  |  提交时间：2019/11/21 Convolutional neural networks  Deep learning  Genotyping  Human down syndrome   Encoding physiological signals as images for affective state recognition using convolutional neural networks. 期刊论文 Conf Proc IEEE Eng Med Biol Soc, 2016, 卷号: Vol.2016, 页码: 812-815 作者:  Yu, G.a;  Li, X.a;  Song, D.a,b;  Zhao, X.a;  Zhang, P.a 收藏  |  浏览/下载：9/0  |  提交时间：2019/11/21