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浏览/检索结果: 共41条，第1-10条 帮助 限定条件 内容类型：期刊论文    专题：北京航空航天大学    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 Action Recognition with deep network features and dimension reduction 期刊论文 KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 卷号: 13, 页码: 832-854 作者:  Li, Lijun;  Dai, Shuling 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Action recognition  Convolutional neural network  Feature encoding  Mix encoding  Dimension reduction   An On-Line and Adaptive Method for Detecting Abnormal Events in Videos Using Spatio-Temporal ConvNet 期刊论文 APPLIED SCIENCES-BASEL, 2019, 卷号: 9 作者:  Bouindour, Samir;  Snoussi, Hichem;  Hittawe, Mohamad Mazen;  Tazi, Nacef;  Wang, Tian 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/30 abnormal event detection  deep learning  Convolutional Neural Network  unsupervised learning  online  adaptive systems   A deep automated skeletal bone age assessment model via region-based convolutional neural network 期刊论文 Future Generation Computer Systems, 2019, 卷号: 98, 页码: 54-59 作者:  Liang, B.;  Zhai, Y.;  Tong, C.;  Zhao, J.;  Li, J. 收藏  |  浏览/下载：24/0  |  提交时间：2019/12/30 Cartilage  Convolution  Deep learning  Diagnosis  Forecasting  Image segmentation  Medical problems  Musculoskeletal system  Neural networks  Object detection  10-fold cross-validation  Biomedicine  Bone age assessment  Convolutional networks  Convolutional neural network  Learning techniques  Mean absolute error  Ossification center  Bone   Accelerate neural style transfer with super-resolution 期刊论文 Multimedia Tools and Applications, 2019 作者:  Li, Z.;  Zhou, F.;  Yang, L.;  Li, X.;  Li, J. 收藏  |  浏览/下载：18/0  |  提交时间：2019/12/30 Deep learning  Optical resolving power  Program processors  Convolutional networks  High resolution image  Image generations  Neural network optimization  Single images  Style transfer  Super resolution  Transfer network  Image reconstruction   Forecasting short-term residential electricity consumption using a deep fusion model 期刊论文 Lecture Notes in Electrical Engineering, 2019, 卷号: 529, 页码: 359-371 作者:  Lei, M.;  Tang, L.;  Li, M.;  Ye, Z.;  Pan, L. 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/30 Convolution  Forecasting  Housing  Neural networks  Convolutional neural network  Electricity consumption forecasting  Electricity-consumption  Fully connected neural network  Residential electricity  Residential electricity consumption  Short term load forecasting  Short term prediction  Electric power utilization   EEG Classification of Motor Imagery Using a Novel Deep Learning Framework 期刊论文 SENSORS, 2019, 卷号: 19 作者:  Dai, Mengxi;  Zheng, Dezhi;  Na, Rui;  Wang, Shuai;  Zhang, Shuailei 收藏  |  浏览/下载：13/0  |  提交时间：2019/12/30 EEG  deep learning  short-time Fourier transform  convolutional neural network  variational autoencoder   On fusing the latent deep CNN feature for image classification 期刊论文 WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2019, 卷号: 22, 页码: 423-436 作者:  Liu, Xueliang;  Zhang, Rongjie;  Meng, Zhijun;  Hong, Richang;  Liu, Guangcan 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/30 Image classification  Convolutional neural network  Late fusion   Bearing fault diagnosis based on generalized S transform denoising and convolutional neural network 期刊论文 Lecture Notes in Electrical Engineering, 2019, 卷号: 529, 页码: 425-432 作者:  Liu, W.;  Han, M.;  Chen, L. 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/30 Bearings (structural)  Convolution  Deep learning  Failure analysis  Mathematical transformations  Neural networks  Statistical tests  Bearing fault diagnosis  Convolutional neural network  Convolutional Neural Networks (CNN)  De-noising  Diagnosis methods  Failure information  Generalized S transform  Recognition accuracy  Fault detection   A new approach to oil spill detection that combines deep learning with unmanned aerial vehicles 期刊论文 COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 卷号: 135, 页码: 1300-1311 作者:  Jiao, Zeyu;  Jia, Guozhu;  Cai, Yingjie 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Oil spill  Unmanned aerial vehicle  Deep convolutional neural network  Otsu algorithm  Maximally stable extremal regions  Intelligent control   Scene-Aware Deep Networks for Semantic Segmantation of Images 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 69184-69193 作者:  Yi, Zhike;  Chang, Tao;  Li, Shuai;  Liu, Ruijun;  Zhang, Jing 收藏  |  浏览/下载：11/0  |  提交时间：2019/12/30 Semantic segmentation  scene classification  convolutional neural network