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检索条件"主题词=Sparse AutoEncoder"
251 条 记 录,以下是221-230 订阅
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A Duo autoencoder-SVM based Approach for Secure Performance Monitoring of Industrial Conveyor Belt System
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COMPUTERS & CHEMICAL ENGINEERING 2023年 第1期177卷
作者: Santhi, Thulasi M. Srinivasan, K. Natl Inst Technol Instrumentat & Control Engn Dept Tiruchirappalli 620015 India
Process industries are fascinated by cyber-physical systems because of the potential to integrate physical systems and the cyber realm, resulting in efficient remote monitoring and control. The conveyor belt system ha... 详细信息
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Detecting method of optimal exercise posture using autoencoder: Utilizing surface electromyography and textile stretch sensor
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JOURNAL OF INDUSTRIAL TEXTILES 2024年 54卷
作者: Lee, GyuBin Kim, Jooyong Kim, Ji-seon Kim, SangUn Soongsil Univ Mat Sci & Engn Seoul South Korea Soongsil Univ Dept Organ Mat & Fiber Engn Seoul 06978 South Korea Soongsil Univ Smart Wearables Engn Seoul South Korea
This study aims to validate the optimal posture for the Dumbbell Biceps Curl (DBC) exercise using Textile stretch sensors and Surface Electromyography (sEMG), and then detect inaccurate posture using a sparse Autoenco... 详细信息
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Evaluating Shape Representations for Maya Glyph Classification
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ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE 2016年 第3期9卷 14-14页
作者: Can, Gulcan Odobez, Jean-Marc Gatica-Perez, Daniel Idiap Res Inst Martigny Switzerland Ecole Polytech Fed Lausanne Lausanne Switzerland Idiap Res Inst Ctr Parc Rue Marconi 19 CH-1920 Martigny Switzerland
Shape representations are critical for visual analysis of cultural heritage materials. This article studies two types of shape representations in a bag-of-words-based pipeline to recognize Maya glyphs. The first is a ... 详细信息
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Automatic diagnosis of pulmonary nodules using a hierarchical extreme learning machine model
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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2018年 第3期11卷 192-201页
作者: Hao, Rui Qiang, Zilin Qiang, Yan Ge, Lei Zhao, Juanjuan Shanxi Univ Finance & Econ Coll Informat Management Taiyuan Shanxi Peoples R China Taiyuan Univ Technol Coll Software Taiyuan Shanxi Peoples R China Taiyuan Univ Technol Coll Comp Sci & Technol Taiyuan Shanxi Peoples R China
To effectively improve the diagnosis of pulmonary nodules, this paper proposes a new automatic diagnosis method for pulmonary nodules based on a new hierarchical extreme learning machine (H-ELM) that can automatically... 详细信息
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Damage Identification and Health Assessment of Crane Girder Structure Under Moving Loads
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INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS 2024年 第19期24卷 2450217-2450217页
作者: Hu, Mantang Wang, Guofeng Sheng, Yanliang Tianjin Univ Sch Mech Engn Key Lab Mech Theory & Equipment Design Minist Educ Tianjin 300350 Peoples R China
In the degradation evaluation process of the crane girder structure under moving loads, the complex vibration response and low accuracy of health index standards are the main factors limiting the performance of the ev... 详细信息
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Forest Fire Prediction with Imbalanced Data Using a Deep Neural Network Method
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FORESTS 2022年 第7期13卷 1129页
作者: Lai, Can Zeng, Shucai Guo, Wei Liu, Xiaodong Li, Yongquan Liao, Boyong Zhongkai Univ Agr & Engn Coll Hort & Landscape Architecture Guangzhou 510225 Peoples R China South China Agr Univ Coll Forestry & Landscape Architecture Guangzhou 510642 Peoples R China
Forests suffer from heavy losses due to the occurrence of fires. A prediction model based on environmental condition, such as meteorological and vegetation indexes, is considered a promising tool to control forest fir... 详细信息
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Gait phase recognition of lower limb exoskeleton system based on the integrated network model
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BIOMEDICAL SIGNAL PROCESSING AND CONTROL 2022年 第0期76卷 000-000页
作者: Zhang, Zaifang Wang, Zhaoyang Lei, Han Gu, Wenquan Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200444 Peoples R China Shanghai Punan Hosp Shanghai 200125 Peoples R China
Exoskeleton robots have become an emerging technology in medical, industrial and military applications. Human gait phase recognition is the crucial technology for recognizing movement intention of the exoskeleton wear... 详细信息
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Classification of multiple power quality events via compressed deep learning
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INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 2019年 第6期29卷 e12010.1-e12010.14页
作者: Liu, Hui Hussain, Fida Yue, Shen Yildirim, Ozal Yawar, Sheikh Junaid Jiangsu Univ Sch Elect & Informat Engn Zhenjiang Jiangsu Peoples R China Hamdard Univ Fac Engn Sci & Technol Karachi Pakistan Munzur Univ Dept Comp Engn Tunceli Turkey Sir Syed Univ Engn & Technol Dept Elect Engn Karachi Pakistan
This paper presents a recently established compressed sensing (CS) and sparse autoencoder (SAE) based on deep learning (DL) method for classification of single and multiple power quality disturbances (PQDs). The CS te... 详细信息
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A key-factor denoising strategy for quasi periodic non-stationary incipient faults diagnosis
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MEASUREMENT 2022年 197卷
作者: Yang, Jing Xie, Guo Yang, Yanxi Tianshui Normal Univ Sch Mechatron & Automot Engn Tianshui 741000 Peoples R China Xian Univ Technol Sch Automat & Informat Engn Xian 710048 Peoples R China
Currently, the analysis method based on monitoring data has become an effective means of machinery fault diagnosis, and the fault diagnosis with obvious data features has achieved fruitful results. However, the incipi... 详细信息
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Unsupervised dimension-contribution-aware embeddings transformation for anomaly detection
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KNOWLEDGE-BASED SYSTEMS 2023年 第1期262卷
作者: Xi, Liang Liang, Chenchen Liu, Han Li, Ao Harbin Univ Sci & Technol 52 Xuefu Rd Harbin 150080 Peoples R China
Deep-learning-based anomaly detection methods achieve excellent performance with the help of powerful feature extraction capabilities. However, the existing methods ignore the fine-grained dimension contributions of l... 详细信息
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