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检索条件"主题词=stacked autoencoder"
326 条 记 录,以下是101-110 订阅
排序:
A Home Sleep Apnea State Monitoring System using a stacked autoencoder  18
A Home Sleep Apnea State Monitoring System using a Stacked A...
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18th IEEE Sensors Conference
作者: Takao, Ikuya Nishio, Keita Kaburagi, Takashi Kumagai, Satoshi Matsumoto, Toshiyuki Kurihara, Yosuke Aoyama Gakuin Univ Dept Ind & Syst Engn Sagamihara Kanagawa Japan Int Cristian Univ Dept Nat Sci Mitaka Tokyo Japan
Ischemic heart disease is one of the most common causes of death in the world. Recent studies show that it may be caused by sleep apnea, or disordered breathing during sleep;however, sleep apnea lacks subjective sympt... 详细信息
来源: 评论
Bio-Mechanical Distracted Driver Recognition Based on stacked autoencoder and Convolutional Neural Network  2
Bio-Mechanical Distracted Driver Recognition Based on Stacke...
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2nd IEEE International Conference on Information Communication and Signal Processing (ICICSP)
作者: Assefa, Addis Abebe Tian Wenhong UESTC Sch Informat & Software Engn Chengdu Peoples R China
in this paper, we consider a problem of a biomechanical distraction of a driver;mostly it is related with hands secondary action while driving. Dealing with this type of distraction is crucial because the main causes ... 详细信息
来源: 评论
Electricity price forecast based on stacked autoencoder in spot market environment  9
Electricity price forecast based on stacked autoencoder in s...
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9th International Conference on Power and Energy Systems (ICPES)
作者: Zou, Ya Tu, Mengfu Teng, Xianliang Cao, Rongzhang Xie, Wei NARI Technol DEV CO LTD Power Grid Dispatching & Control Technol Branch C Nanjing Peoples R China NARI Technol Dev CO LTD NARI Res Inst Nanjing Peoples R China
Artificial neural network method is a common method for short-term electricity price forecasting. However, when the amount of input and output data is large, the training speed will be slow, and it is easy to fall int... 详细信息
来源: 评论
Semisupervised Classification for Industrial Process Faults Using Modified Fisher Discriminant Analysis Assisted by stacked autoencoder
Semisupervised Classification for Industrial Process Faults ...
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Chinese Automation Congress (CAC)
作者: Deng, Xiaogang Dai, Jiabing Cao, Yuping China Univ Petr Coll Control Sci & Engn Qingdao Peoples R China
Fisher discriminant analysis (FDA) is an effective fault classification method for complicated industrial processes. However, it builds the classifier only based on the labeled training data and ignores vast amounts o... 详细信息
来源: 评论
A Novel Bearing Health Indicator Construction Method Based on Ensemble stacked autoencoder
A Novel Bearing Health Indicator Construction Method Based o...
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IEEE International Conference on Prognostics and Health Management (ICPHM)
作者: Lin, Pengfei Tao, Jizhong China Acad Engn Phys Institude Machinery Mfg Technol Mianyang Sichuan Peoples R China
In the area of data-driven bearing prognostic, the construction of health indictor from condition monitoring data is important. This paper presents a novel bearing health indicator construction method based on ensembl... 详细信息
来源: 评论
Batch Process Monitoring Based on Multi-stage Fourth Order Moment stacked autoencoder
Batch Process Monitoring Based on Multi-stage Fourth Order M...
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第32届中国控制与决策会议
作者: Jin Chen Wang Pu Wang Kai Faculty of Information Technology Beijing University of Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System
Fault monitoring can find out-of-control conditions of equipment operation in a timely manner, which is essential for eliminating faults and for stable operation of industrial systems in batch processes. Many conventi... 详细信息
来源: 评论
A stacked autoencoder Method for the PAPR Reduction in VLC Systems
A Stacked Autoencoder Method for the PAPR Reduction in VLC S...
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Image Processing, Electronics and Computers (IPEC), Asia-Pacific Conference on
作者: Lili Hao Chengdong Li School of Information and Electrical Engineering Shandong Jianzhu University Jinan China
The visible light communication (VLC) system can provide data communication function as well as lighting. It is widely used in automated and sustainable smart farming for its energy efficiency, reliability, security w... 详细信息
来源: 评论
Outlier Detection for Monitoring Data Using stacked autoencoder
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IEEE ACCESS 2019年 7卷 173827-173837页
作者: Wan, Fangyi Guo, Gaodeng Zhang, Chunlin Guo, Qing Liu, Jie Northwestern Polytech Univ Sch Aeronaut Xian 710072 Peoples R China Carleton Univ Dept Mech & Aerosp Engn Ottawa ON K1S 5B6 Canada
Monitoring data contain the important status information of the monitored object, and are the basis for following data mining and analysis. However, the monitoring data usually suffer the pollution of the outliers, le... 详细信息
来源: 评论
Printed Odia Numeral Recognition Using stacked autoencoder
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Procedia Computer Science 2019年 154卷 790-797页
作者: Subhashree Satpathy Ajit Ku. Nayak Mamata Nayak Srikanta Patnaik
Automatic recognition of both printed and handwritten characters is the most progressive research area since last few periods. The printed character recognition rate still desires concentration of researchers because ... 详细信息
来源: 评论
Method of extracting gear fault feature based on stacked autoencoder
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JOURNAL OF ENGINEERING-JOE 2019年 第23期2019卷 8765-8769页
作者: Liu, Shuo Liu, Yulong Gu, Yuhai Xu, Xiaoli Beijing Informat Sci & Technol Univ Key Lab Electromech Measurement & Control Beijing Peoples R China
Gear and its transmission are widely used in different transmission systems, and its complicated and changeable condition brings a series of problems to the fault feature extraction and diagnosis. In recent years, dee... 详细信息
来源: 评论