Yan, Ke 个人学术档案 - 学术资源搜索

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Xiaokang ZhouAssociate Professor, Faculty of Data Science, Shiga University, Japan在 biwako.shiga-u.ac.jp 的电子邮件经过验证
Wen ShenUCI在 uci.edu 的电子邮件经过验证
Afshin AfshariGroup Leader, Urban Physics Modeling, Fraunhofer IBP在 ibp.fraunhofer.de 的电子邮件经过验证
Kevin I-Kai WangDepartment of Electrical, Computer, and Software Engineering, The University of Auckland在 auckland.ac.nz 的电子邮件经过验证
Weimin Li（李卫民）School of Computer Engineering and Science，Shanghai University在 shu.edu.cn 的电子邮件经过验证
Ho Lun ChengSenior Lecturer, National University of Singapore在 comp.nus.edu 的电子邮件经过验证
Jianhua MaProfessor of Computer Science, Hosei University在 hosei.ac.jp 的电子邮件经过验证
Bin YangProfessor (Umeå University, Sweden)在 umu.se 的电子邮件经过验证
SHIMIZU ShoheiShiga University & RIKEN在 biwako.shiga-u.ac.jp 的电子邮件经过验证
Adrian ChongNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
Hainan YanNanjing University在 smail.nju.edu.cn 的电子邮件经过验证
Xin LiSchool of Mechatronic Engineering, China University of Mining and Technology在 cumt.edu.cn 的电子邮件经过验证
Michael Yit Lin ChewProfessor, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
Kirtley, James L. Jr.Professor of Electrical Engineering, MIT在 mit.edu 的电子邮件经过验证
Chandra SekharProfessor, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
Lu LiuUniversity of Leicester在 leicester.ac.uk 的电子邮件经过验证
Jinjun ChenMAE, IEEE Fellow (Computer Society), AAIA Fellow; IEEE TCSC Chair在 swin.edu.au 的电子邮件经过验证
Yang XiangPeng Cheng Laboratory, China在 pcl.ac.cn 的电子邮件经过验证
Zheng YanDistinguished Professor, IEEE Fellow, IET Fellow, AAIA Fellow, AIIA Fellow, Xidian University, China在 xidian.edu.cn 的电子邮件经过验证
Zhihao ZhangPostgraduate student, Shanghai University of Electric Power在 mail.shiep.edu.cn 的电子邮件经过验证

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Yan, Ke

Professor, Mechanical and Electrical Engineering, Hunan University, National University of Singapore

在 nus.edu.sg 的电子邮件经过验证 - 首页

Applied Energy Smart Building Applied Mathematics Computational Biology


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A hybrid feature selection algorithm for gene expression data classification H Lu, J Chen, K Yan, Q Jin, Y Xue, Z Gao Neurocomputing 256, 56-62, 2016	360	2016
Short-Term Photovoltaic Power Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism H Zhou, K Yan, Y Du IEEE Access 7, 78063-78074, 2019	331	2019
A hybrid LSTM neural network for energy consumption forecasting of individual households K Yan, W Li, Z Ji, M Qi, Y Du Ieee Access 7, 157633-157642, 2019	204	2019
Hierarchical Adversarial Attacks Against Graph Neural Network Based IoT Network Intrusion Detection System X Zhou, W Liang, W Li, K Yan, S Shimizu, KIK Wang IEEE Internet of Things Journal, 2021	202	2021
Multi-step short-term power consumption forecasting with a hybrid deep learning strategy K Yan, X Wang, Y Du, N Jin, H Huang, H Zhou Energies 11 (11), 3089, 2018	171	2018
ARX model based fault detection and diagnosis for chillers using support vector machines K Yan, W Shen, T Mulumba, A Afshari Energy and Buildings 81, 287-295, 2014	168	2014
Generative adversarial network for fault detection diagnosis of chillers K Yan, A Chong, Y Mo Building and Environment 172, 106698, 2020	153	2020
Semi-supervised learning for early detection and diagnosis of various air handling unit faults K Yan, C Zhong, Z Ji, J Huang Energy and Buildings 181, 75-83, 2018	148	2018
Robust model-based fault diagnosis for air handling units T Mulumba, A Afshari, K Yan, W Shen, LK Norford Energy and Buildings 86, 698-707, 2015	148	2015
Online fault detection methods for chillers combining extended kalman filter and recursive one-class SVM K Yan, Z Ji, W Shen Neurocomputing 228, 205-212, 2016	143	2016
Unsupervised learning for fault detection and diagnosis of air handling units K Yan, J Huang, W Shen, Z Ji Energy and Buildings 210, 2019	138	2019
Cost-sensitive and sequential feature selection for chiller fault detection and diagnosis K Yan, L Ma, Y Dai, W Shen, Z Ji, D Xie International Journal of Refrigeration 86, 401-409, 2017	133	2017
Mathematical and Computational Modeling in Complex Biological Systems Z Ji, K Yan, W Li, H Hu, X Zhu BioMed Research International, 2017	104	2017
Fast and accurate classification of time series data using extended ELM: Application in fault diagnosis of air handling units K Yan, Z Ji, H Lu, J Huang, W Shen, Y Xue IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (7), 1349-1356, 2019	103	2019
Multi-task learning model based on multi-scale CNN and LSTM for sentiment classification N Jin, J Wu, X Ma, K Yan, Y Mo IEEE Access 8, 77060-77072, 2020	102	2020
Edge-enabled two-stage scheduling based on deep reinforcement learning for internet of everything X Zhou, W Liang, K Yan, W Li, I Kevin, K Wang, J Ma, Q Jin IEEE Internet of Things Journal 10 (4), 3295-3304, 2022	92	2022
Highly accurate energy consumption forecasting model based on parallel LSTM neural networks N Jin, F Yang, Y Mo, Y Zeng, X Zhou, K Yan, X Ma Advanced Engineering Informatics 51, 101442, 2022	89	2022
MPPT perturbation optimization of photovoltaic power systems based on solar irradiance data classification K Yan, Y Du, Z Ren IEEE transactions on sustainable energy 10 (2), 514-521, 2018	86	2018
Multivariate Air Quality Forecasting with Nested LSTM Neural Network N Jin, Y Zeng, K Yan, Z Ji IEEE Transactions on Industrial Informatics, 2021	85	2021
A hybrid deep learning technology for PM_2.5 air quality forecasting Z Zhang, Y Zeng, K Yan Environmental Science and Pollution Research 28, 39409-39422, 2021	82	2021

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