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作品数：24被引量：37H指数：3
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相关领域：电子电信自动化与计算机技术更多>>
相关作者：张功更多>>
相关机构：华中师范大学南京邮电大学更多>>
相关期刊：《Journal of Automation and Intelligence》《Chinese Journal of Mechanical Engineering》《Language and Semiotic Studies》《Computers, Materials & Continua》更多>>
相关基金：国家自然科学基金中国博士后科学基金湖北省自然科学基金更多>>
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Data-driven strategy for state of health prediction and anomaly detection in lithium-ion batteries
《Energy and AI》2024年第3期419-431,共13页Slimane Arbaoui Ahmed Samet Ali Ayadi Tedjani Mesbahi Romuald Boné 
funding from the French National Research Agency(ANR)under the project“ANR-22-CE92-0007-02”;support was provided by the European Union through the Horizon Europe program and the innovation program under“GAP-101103667”.
This study addresses the crucial challenge of monitoring the State of Health(SOH)of Lithium-Ion Batteries(LIBs)in response to the escalating demand for renewable energy systems and the imperative to reduce CO2 emissio...
关键词：Lithium-ion batteries State of health LSTM CNN Auto-encoders .Pattern mining Explainable artificial intelligence 
Short Term Traffic Flow Prediction Using Hybrid Deep Learning
《Computers, Materials & Continua》2023年第4期1641-1656,共16页Mohandu Anjaneyulu Mohan Kubendiran 
Traffic flow prediction in urban areas is essential in the IntelligentTransportation System (ITS). Short Term Traffic Flow (STTF) predictionimpacts traffic flow series, where an estimation of the number of vehicleswil...
关键词：Short term traffic flow prediction principal component analysis stacked auto encoders long short term memory k nearest neighbors:intelligent transportation system 
Intrusion Detection through DCSYS Propagation Compared to Auto-encoders
《Journal of Computer Science Research》2021年第3期42-49,共8页Fatima Isiaka Zainab Adamu 
In network settings,one of the major disadvantages that threaten the network protocols is the insecurity.In most cases,unscrupulous people or bad actors can access information through unsecured connections by planting...
关键词：Dynamic control system Deep learning Artificial neural network Auto-encoders Identify space model BENIGN ANOMALIES 
Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed to high temperatures被引量：1
《Frontiers of Structural and Civil Engineering》2020年第6期1316-1330,共15页Harun TANYILDIZI Abdulkadir SENGUR Yaman AKBULUT Murat SAHtNa 
The experimental part of this study was supported by the Firat University BAPYB(Project No.TEF.12.04);he authors gratefully acknowledge the Firat University of BAPYB.
In this study,the deep learning models for estimating the mechanical properties of concrete containing silica fume subjected to high temperatures were devised.Silica fume was used at concentrations of 0%,5%,10%,and 20...
关键词：concrete high temperature strength properties deep learning stacked auto-encoders LSTM network 
Coarse-graining auto-encoders for molecular dynamics被引量：5
《npj Computational Materials》2019年第1期48-56,共9页Wujie Wang Rafael Gómez-Bombarelli 
W.W.thanks Toyota Research Institutefor financial support
Molecular dynamics simulations provide theoretical insight into the microscopic behavior of condensed-phase materials and,as a predictive tool,enable computational design of new compounds.However,because of the large ...
关键词：dynamics REPRESENTATION STEPS 
Fault diagnosis for distillation process based on CNN–DAE被引量：13
《Chinese Journal of Chemical Engineering》2019年第3期598-604,共7页Chuankun Li Dongfeng Zhao Shanjun Mu Weihua Zhang Ning Shi Lening Li 
Supported by the National Natural Science Foundation of China(21706291,61751305)
Distillation is the most widely used operation for liquid mixture separation in the chemical industry. It is of great importance to detect and diagnose faults in distillation process. Due to the strong feedback and co...
关键词：Convolutional NEURAL networks Deep auto-encoders DISTILLATION process FAULT diagnosis 
A New Method for Sentiment Analysis Using Contextual Auto-Encoders被引量：2
《Journal of Computer Science & Technology》2018年第6期1307-1319,共13页Hanen Ameur Salma Jamoussi Abdelmajid Ben Hamadou 
Sentiment analysis, a hot research topic, presents new challenges for understanding users＇ opinions and judg-ments expressed online. They aim to classify the subjective texts by assigning them a polarity label. In th...
关键词：SENTIMENT analysis recursive auto-encoder stacked auto-encoder POINTWISE mutual information deep embed-ding representation 
Snow Cover Mapping for Mountainous Areas by Fusion of MODIS L1B and Geographic Data Based on Stacked Denoising Auto-Encoders
《Computers, Materials & Continua》2018年第10期49-68,共20页Xi Kan Yonghong Zhang Linglong Zhu Liming Xiao Jiangeng Wang Wei Tian Haowen Tan 
This research was supported by National Natural Science Foundation of China(Grant Nos.41661144039,91337102,41401481);and Natural Science Foundation of Jiangsu Province of China(Grant No.BK20140997).
Snow cover plays an important role in meteorological and hydrological researches.However,the accuracies of currently available snow cover products are significantly lower in mountainous areas than in plains,due to the...
关键词：Snow cover remote sensing deep learning Qinghai-Tibetan Plateau MODIS L1B 
Small sample learning with high order contractive auto-encoders and application in SAR images被引量：3
《Science China(Information Sciences)》2018年第9期271-273,共3页Qianwen YANG Fuchun SUN 
Dear editor,Recently auto-encoders（AEs）are used as intermediate layers or unsupervised learning stages in deep learning networks[1].However,unlike other deep learning algorithms,which can extract higher-order abstra...
关键词：SAR Small sample learning with high order contractive auto-encoders and application in SAR images MSTAR RBM 
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