Results 191 to 200 of about 9,580 (220)
Efficient Deep Wavelet Gaussian Markov Dempster-Shafer Network-Based Spectrum Sensing at Very Low SNR in Cognitive Radio Networks. [PDF]
Sensors (Basel)Jatti S, Tyagi A.
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Network motif detection using hidden markov models. [PDF]
Sci RepBampos C, Megalooikonomou V.
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Some of the next articles are maybe not open access.
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 +4 more
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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 +4 more
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Hidden semi-Markov model-based method for tool wear estimation in milling process
The International Journal of Advanced Manufacturing Technology, 2017This 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
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Force-based tool wear estimation for milling process using Gaussian mixture hidden Markov models
The International Journal of Advanced Manufacturing Technology, 2017Tool 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
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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 Usman Ilyas, Hayder Radha
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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 Usman Ilyas, Hayder Radha
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Computational tonality estimation : signal processing and hidden Markov models.
2009PhD ; This thesis investigates computational musical tonality estimation from an audio signal. We present a hidden Markov model (HMM) in which relationships between chords and keys are expressed as probabilities of emitting observable chords from a hidden key sequence.
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