Results 151 to 160 of about 8,837 (179)

Neural architecture search applying optimal stopping theory. [PDF]

Front Artif Intell
Sheehan M, Yakimenko O.
europepmc   +1 more source

Canonical Hidden Markov Model Networks for studying M/EEG. [PDF]

Imaging Neurosci (Camb)
Gohil C, Huang R, Higgins C, van Es MWJ, Quinn AJ, Vidaurre D, Woolrich MW.   +6 more
europepmc   +1 more source

Machine and Deep Learning for Detection of Moderate-to-Vigorous Physical Activity From Accelerometer Data: Systematic Scoping Review.

Interact J Med Res
Zi Y, van de Ven SR, de Geus EJ, Chen P.
europepmc   +1 more source

Hidden semi-Markov model-based method for tool wear estimation in milling process

The International Journal of Advanced Manufacturing Technology, 2017
This paper presents a new method for tool wear estimation in milling process by utilizing the hidden semi-Markov model (HSMM). HSMM differs greatly from the standard hidden Markov model (HMM) in state duration distribution. The model structure and corresponding parameters of HSMM can be easily determined without optimization.
Dongdong Kong, Yongjie Chen, Ning Li
openaire   +2 more sources

Force-based tool wear estimation for milling process using Gaussian mixture hidden Markov models

The International Journal of Advanced Manufacturing Technology, 2017
Tool wear monitoring system is of vital importance for the guarantee of surface integrity and manufacturing effectiveness. To overcome the weaknesses of neural networks, a new tool wear estimation model based on Gaussian mixture hidden Markov models (GMHMM) is presented.
Dongdong Kong, Yongjie Chen, Ning Li
openaire   +2 more sources

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A Hidden Markov Model based online system reliability estimating of fluorochemical engineering processes

2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), 2020
The fluorine chemical industry has become an important one with rapid development because of its large variety of products, excellent performance and wide application fields. However, the hypertoxic materials which widely exist in fluorochemical engineering processes make the safety management and reliability assessment especially important. To improve
Shuran Zhang, Feng Xue, Feng Zhu, Zhengyi Qiu, Kai Song   +4 more
openaire   +1 more source

Modeling, estimating and predicting the packet-level Bit Error Rate process in IEEE 802.15.4 LR-WPANs using Hidden Markov Models

2009 43rd Annual Conference on Information Sciences and Systems, 2009
This paper describes a stochastic wireless channel model that captures the behavior of the packet-level Bit Error Rate (BER) and the Link Quality Indication (LQI) processes. The model is based on a discrete-time Hidden Markov Model (HMM) whose hidden states correspond to different BERs, and whose observable states correspond to different LQI values. We
Muhammad U. Ilyas, Hayder Radha
openaire   +1 more source

Hidden Markov Model-Based Nonfragile State Estimation of Switched Neural Network With Probabilistic Quantized Outputs

IEEE Transactions on Cybernetics, 2020
Jun Cheng, Ju H. Park, Jinde Cao
exaly  

Online estimation of satellite lithium-ion battery capacity based on approximate belief rule base and hidden Markov model

Energy, 2022
Zhijie Zhou, Shuai-Wen Tang, You Cao
exaly  

Observed-Mode-Dependent State Estimation of Hidden Semi-Markov Jump Linear Systems

IEEE Transactions on Automatic Control, 2020
Bo Cai, Lixian Zhang, Yang Shi
exaly