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浏览/检索结果: 共18条，第1-10条 帮助 限定条件 发表日期：2020    专题：自动化研究所    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 Cyber-Physical-Social Systems for Smart City: An Implementation Based on Intelligent Loop 会议论文 北京, 2020-12-5 作者:  Xiong, Gang;  Chen, Xiaoyu;  Shuo, Nan;  Lv, Yisheng;  Zhu, Fenghua 收藏  |  浏览/下载：3/0  |  提交时间：2022/06/16 Deep prototypical networks based domain adaptation for fault diagnosis 期刊论文 JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 页码: 11 作者:  Wang, Huanjie;  Bai, Xiwei;  Tan, Jie;  Yang, Jiechao 收藏  |  浏览/下载：14/0  |  提交时间：2021/01/06 Bearing  Fault diagnosis  Domain adaptation  Prototype learning   Temporal embedding and spatiotemporal feature selection boost multi-voxel pattern analysis decoding accuracy 期刊论文 JOURNAL OF NEUROSCIENCE METHODS, 2020, 卷号: 345, 页码: 13 作者:  Choupan, Jeiran;  Douglas, Pamela K.;  Gal, Yaniv;  Cohen, Mark S.;  Reutens, David C. 收藏  |  浏览/下载：18/0  |  提交时间：2021/01/07 fMRI  Multi-variate pattern analysis  Spatiotemporal feature selection  Multiband EPI  Random forest  Support vector machine   SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4290-4302 作者:  Xie, Guo-Sen;  Zhang, Zheng;  Liu, Li;  Zhu, Fan;  Zhang, Xu-Yao 收藏  |  浏览/下载：24/0  |  提交时间：2021/01/07 Training  Task analysis  Learning systems  Computational modeling  Optimization  Support vector machines  Principal component analysis  Feature learning  feature selection  least squares  subspace learning   Distinguishing Epileptiform Discharges From Normal Electroencephalograms Using Scale-Dependent Lyapunov Exponent 期刊论文 FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2020, 卷号: 8, 页码: 14 作者:  Li, Qiong;  Gao, Jianbo;  Huang, Qi;  Wu, Yuan;  Xu, Bo 收藏  |  浏览/下载：38/0  |  提交时间：2021/01/07 EEG  epileptiform discharges  power spectral density (PSD)  scale-dependent Lyapunov exponent (SDLE)  random forest classifier  support vector machine (SVM)   A Comparison of Correlation Filter-Based Trackers and Struck Trackers 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 9, 页码: 3106-3118 作者:  Wang, Jinqiao;  Zheng, Linyu;  Tang, Ming;  Feng, Jiayi 收藏  |  浏览/下载：19/0  |  提交时间：2021/01/07 Correlation  Target tracking  Kernel  Support vector machines  Training  Optimization  Discrete Fourier transforms  Visual tracking  correlation filters  structured output SVM tracker  struck  ranking SVM tracker   PredictFP2: A New Computational Model to Predict Fusion Peptide Domain in All Retroviruses 期刊论文 IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 5, 页码: 1714-1720 作者:  Wu, Sijia;  Wu, Xiaoming;  Tian, Jie;  Zhou, Xiaobo;  Huang, Liyu 收藏  |  浏览/下载：64/0  |  提交时间：2021/01/07 Benchmark testing  Amino acids  Support vector machines  Computational modeling  Predictive models  Cells (biology)  Databases  Fusion peptide prediction  FP distribution  hydrophobicity  retrovirus  support vector machine   Computer Vision Tool-Setting System of Numerical Control Machine Tool 期刊论文 SENSORS, 2020, 卷号: 20, 期号: 18, 页码: 20 作者:  Hou, Bo;  Zhang, Congpeng;  Yang, Shoubo 收藏  |  浏览/下载：25/0  |  提交时间：2021/01/07 automatic tool-setting  image processing  intelligent vision machine tool  machine vision  vision measurement   Preoperative Prediction of Ancillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence 期刊论文 ACADEMIC RADIOLOGY, 2020, 卷号: 27, 期号: 9, 页码: 1217-1225 作者:  Tan, Hongna;  Gan, Fuwen;  Wu, Yaping;  Zhou, Jing;  Tian, Jie 收藏  |  浏览/下载：19/0  |  提交时间：2020/12/04 Breast cancer  Axillary lymph node  Metastasis  MRI  Radiomics   Self-Paced Balance Learning for Clinical Skin Disease Recognition 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 2832-2846 作者:  Yang, Jufeng;  Wu, Xiaoping;  Liang, Jie;  Sun, Xiaoxiao;  Cheng, Ming-Ming 收藏  |  浏览/下载：20/0  |  提交时间：2020/09/07 Diseases  Skin  Complexity theory  Training  Task analysis  Image recognition  Learning systems  Class imbalance  clinical skin disease recognition  complexity level  self-paced balance learning (SPBL)