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华南理工大学 [18]

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北京航空航天大学 [5]

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会议论文 [87]

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	Industrial robot rotate vector reducer fault detection based on hidden markov models 会议论文 Dali, China, December 6-8, 2019 作者: Zhang YL(张吟龙); An HB(安海博); Ding XJ(丁小健); Liang W(梁炜); Yuan MZ(苑明哲) 收藏 \| 浏览/下载：22/0 \| 提交时间：2020/02/23
	Improved Detection of User Malicious Behavior through Log Mining based on IHMM 会议论文 5th International Conference on Systems and Informatics (ICSAI), Nanjing, PEOPLES R CHINA, NOV 10-12, 2018 作者: Liu, Chenchen; Zhong, Yi*; Wang, Yuanli 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/04 information security discrete data sequences Hidden Markov Models IHMM
	An Application of Particle Swarm Algorithms to optimize Hidden Markov Models for Driver Fatigue Identification 会议论文 2018 IEEE Intelligent Vehicles Symposium 作者: Zhang MH(张明恒); Zhai XJ(翟晓娟); Zhao G(赵光); Zhong TH(种统洪); Wang Z(王征) 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/02
	Understanding drivers' travel behaviors through vehicle onboard diagnostic data using multi-dimensional discrete Hidden Markov model 会议论文 CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals 作者: Wang, Y.; Yin, G.; Ma, X. 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/30 Clustering algorithms Hidden Markov models Markov processes Surveys Vehicles Activity based modeling Connected vehicles Density peaks Discrete hidden Markov model Hidden Markov chains Long-term variability On board diagnostics Travel behaviors Behavioral research
	Degrading process simulation of aviation hydraulic pump with lifetime experiment data based on hidden semi-Markov model 会议论文 Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017 作者: Li, T.; Wang, S.; Shi, J.; Ma, Z. 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/30 Industrial electronics Intelligent systems Markov processes Pumps Stochastic systems Cumulative damage Hidden semi-Markov modeling Hidden semi-Markov models HSMM Hydraulic pump Linear damage rule Process simulations Transition matrices Monte Carlo methods
	An asymmetrical acoustic field detection system for daily tooth brushing monitoring 会议论文 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings 作者: Ouyang, Z.; Hu, J.; Niu, J.; Qi, Z. 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/12/30 Acoustic fields Artificial intelligence Bluetooth Decision trees Earphones Hidden Markov models Learning systems Microphones Mobile computing Support vector machines Acoustic features Acoustic signals Field detections Machine learning models Monitoring system Throat microphones Time and frequency domains Tooth brushing Pattern recognition
	A Novel Approach of System Design for Dialect Speech Interaction with NAO Robot 会议论文香港, 2017 作者: Ming Chen; Lujia Wang; Cheng-zhng Xu 收藏 \| 浏览/下载：15/0 \| 提交时间：2018/02/02
	Load Identification Based on Factorial Hidden Markov Model and Online Performance Analysis 会议论文作者: Chen, Siyun; Gao, Feng; Liu, Ting 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/11/26 hidden Markov models load identification nonintrusive load monitoring factorial hidden Markov model
	Adaptive detection and correction method for anomalous wind speed 会议论文 19-1#, Jiangong Road, Xi'an, China, October 25, 2016 - October 28, 2016 作者: Chen, Wei; Wu, Butuo; Pei, Xiping; Yan, Hongqiang 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/11/15 Data acquisition Forecasting Hidden Markov models Interpolation Radial basis function networks Stochastic systems Systematic errors Wind power Auto-regressive integrated moving average Cubic-spline interpolation Data acquisition system Empirical Mode Decomposition Empirical mode decomposition method Forecasting accuracy Identification method Wind speed sequences
	First Step Towards End-to-end Parametric TTS Synthesis: Generating Spectral Parameters with Neural Attention 会议论文 San Francisco, USA, 2016-9-8 作者: Wang, Wenfu; Xu, Shuang; Xu, Bo 收藏 \| 浏览/下载：27/0 \| 提交时间：2018/01/03 Parametric Tts Synthesis End-to-end Attention Based Recurrent Neural Network Acoustic Modeling

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