Results 201 to 210 of about 116,234 (262)
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IEEE transactions on intelligent transportation systems (Print), 2022
The evaluation of pilot brain activity is very important for flight safety. This study proposes a Hidden semi-Markov Model with Hierarchical prior to detect brain activity under different flight tasks.
E. Wu +6 more
semanticscholar +1 more source
The evaluation of pilot brain activity is very important for flight safety. This study proposes a Hidden semi-Markov Model with Hierarchical prior to detect brain activity under different flight tasks.
E. Wu +6 more
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics, 2021
Hidden semi-Markov model (HSMM) has been widely used in equipment condition monitoring. However, the HSMM is usually modeled in fixed working mode. It is incompetent to monitor the condition when the working mode is varying in the equipment's lifetime ...
Tongshun Liu, K. Zhu
semanticscholar +1 more source
Hidden semi-Markov model (HSMM) has been widely used in equipment condition monitoring. However, the HSMM is usually modeled in fixed working mode. It is incompetent to monitor the condition when the working mode is varying in the equipment's lifetime ...
Tongshun Liu, K. Zhu
semanticscholar +1 more source
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022
This paper proposes an autoregressive speech synthesis model based on the variational autoencoder incorporating latent sequence representation for acoustic and linguistic features and the structure of a hidden semi-Markov model (HSMM).
Takato Fujimoto +3 more
semanticscholar +1 more source
This paper proposes an autoregressive speech synthesis model based on the variational autoencoder incorporating latent sequence representation for acoustic and linguistic features and the structure of a hidden semi-Markov model (HSMM).
Takato Fujimoto +3 more
semanticscholar +1 more source
Early Recognition of Driving Intention for Lane Change Based on Recurrent Hidden Semi-Markov Model
IEEE Transactions on Vehicular Technology, 2020Timely recognition of driving intention is crucial in the design of a safe and effective driving assistance system. This study proposes an efficient recognition approach based on Nonlinear Polynomial Regression (NPR) and Recurrent Hidden Semi-Markov ...
Qingxiao Liu +4 more
semanticscholar +1 more source
North American Power Symposium, 2022
Recently, residential demand-side management has attracted great attention due to the development of the smart grid and the increasing penetration of renewable resources.
Mingyue He, Mojdeh Khorsand
semanticscholar +1 more source
Recently, residential demand-side management has attracted great attention due to the development of the smart grid and the increasing penetration of renewable resources.
Mingyue He, Mojdeh Khorsand
semanticscholar +1 more source
Modeling of Manufacturing Processes using Hidden Semi-Markov Model and RSSI data
2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), 2022Temporal behaviors, e.g., cycle time and throughput, are among essential key performance indicators for the management of manufacturing processes. This paper presents a statistical model that captures the processing time spent throughout a production ...
S. Vorapojpisut, Karishma Agrawal
semanticscholar +1 more source
A hierarchical hidden semi-Markov model for modeling mobility data [PDF]
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014 Ubiquity of portable location-aware devices and popularity of online location-based services, have recently given rise to the collection of datasets with high spatial and temporal resolution. The subject of analyzing such data has consequently gained popularity due to numerous opportunities enabled by understanding objects’ (people and animals, among ...
Bert Toxopeus +4 more
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Personality Trait Identification Based on Hidden semi-Markov Model in Online Social Networks
International Conferences on Intelligent Information Technology, 2022In recent years, online social networks (OSNs) have become great places for people to communicate with each other and share knowledge. However, OSNs have also become the main grounds for exploiting the vulnerabilities of people and launching a variety of
Bailin Xie, N. Wei
semanticscholar +1 more source
Hidden semi-Markov model for anomaly detection
Applied Mathematics and Computation, 2008In this paper, hidden semi-Markov model (HSMM) is introduced into intrusion detection. Hidden Markov model (HMM) has been applied in intrusion detection systems several years, but it has a major weakness: the inherent duration probability density of a state in HMM is exponential, which may be inappropriate for the modeling of audit data of computer ...
Hongsheng Xi, Xiaobin Tan
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Adaptive Training for Hidden Semi-Markov Model
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006This paper describes an adaptive training technique for hidden semi-Markov model (HSMM). The adaptive training scheme conducts normalization of speaker differences and acoustic variability in both output and state duration distributions of a canonical model by using HSMM-based MLLR (maximum likelihood linear regression) adaptation.
Junichi Yamagishi, Takao Kobayashi
openaire +2 more sources