Results 31 to 40 of about 63,948 (252)

From Risk Assessment to Resilience Assessment. an Application to a Hazmat Storage Plant

Chemical Engineering Transactions, 2020
The purpose of this work is to outline a framework for assessing the resilience of a petrochemical storage plant, through the construction of a dynamic hierarchical Bayesian network. The BN approach allows keeping memory of the states, in order to manage
Tomaso Vairo, Andrea Reverberi, Bruno Fabiano   +2 more
doaj   +1 more source

What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges

Sensors, 2022
From 2018 to 2021, the Sussex-Huawei Locomotion-Transportation Recognition Challenge presented different scenarios in which participants were tasked with recognizing eight different modes of locomotion and transportation using sensor data from ...
Stefan Kalabakov, Simon Stankoski, Ivana Kiprijanovska, Andrejaana Andova, Nina Reščič, Vito Janko, Martin Gjoreski, Matjaž Gams, Mitja Luštrek   +8 more
doaj   +1 more source

Capacity and Complexity of HMM Duration Modeling Techniques [PDF]

, 2005
The ability of a standard hidden Markov model (HMM) or expanded state HMM (ESHMM) to accurately model duration distributions of phonemes is compared with specific duration-focused approaches such as semi-Markov models or variable transition probabilities.
Johnson, Michael T
core   +2 more sources

The Challenge of Time-to-Event Analysis for Multiple Events: A Guided Tour From Time-to-First-Event to Recurrent Time-to-Event Analysis. [PDF]

Biom J
ABSTRACT Clinical trials often compare a treatment to a control group concerning multiple possible combined time‐to‐event endpoints like hospital‐free survival. Thereby, the first endpoint may occur more than once (“recurrent”), whereas the second endpoint is absorbing. Inclusion of all observed events in the analysis can increase the power and provide
Schmeller S, Erdmann A, Beyersmann J, Angermann C, Ozga AK.   +4 more
europepmc   +2 more sources

Multi-branch Hidden semi-Markov modeling for RUL prognosis [PDF]

2015 Annual Reliability and Maintainability Symposium (RAMS), 2015
Deterioration modeling and remaining useful life (RUL) estimation of equipment are key enabling tasks for the implementation of a predictive maintenance (PM) policy, which plays nowadays an important role for maintaining engineering systems. Hidden Markov Models (HMM) have been used as an efficient tool for modeling the deterioration mechanisms as well
Le, Thanh Trung, Bérenguer, Christophe, Chatelain, Florent   +2 more
openaire   +1 more source

A Sensor-Based Scheme for Activity Recognition in Smart Homes using Dempster-Shafer Theory of Evidence [PDF]

Journal of Artificial Intelligence and Data Mining, 2017
This paper proposes a scheme for activity recognition in sensor based smart homes using Dempster-Shafer theory of evidence. In this work, opinion owners and their belief masses are constructed from sensors and employed in a single-layered inference ...
V. Ghasemi, A. Pouyan, M. Sharifi
doaj   +1 more source

Improving Phoneme Sequence Recognition using Phoneme Duration Information in DNN-HSMM [PDF]

Journal of Artificial Intelligence and Data Mining, 2019
Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems ...
M. Asadolahzade Kermanshahi, M. M. Homayounpour   +1 more
doaj   +1 more source

MCMC implementation for Bayesian hidden semi-Markov models with illustrative applications [PDF]

, 2014
Copyright © Springer 2013. The final publication is available at Springer via http://dx.doi.org/10.1007/s11222-013-9399-zHidden Markov models (HMMs) are flexible, well established models useful in a diverse range of applications.
A. Gelman, A. Gelman, A.K. Jardine, C. Jouyaux, C. Yau, C.P. Robert, C.P. Robert, D. Gamerman, D.J. Spiegelhalter, E. Bellone, G. Celeux, H. Kozumi, J. Bulla, J. Bulla, J. Sansom, J.-M. Marin, J.D. Ferguson, J.P. Hughes, L. Rabiner, L.E. Baum, M. Dewar, M. Dong, M. Stephens, P. Fearnhead, P.A. Devijver, R Development Core Team, S. Chib, S. Guha, S. Richardson, S. Scott, S. Scott, S. Tokdar, S.-Z. Yu, S.C. Schmidler, S.E. Levinson, T. Economou, T. Economou, T. Rydén, Theodoros Economou, Trevor C. Bailey, W.R. Gilks, Y. Guedon, Y. Guedon, Y. Kleiner, Zoran Kapelan   +44 more
core   +1 more source

Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals

Complexity, 2018
We present a novel computational technique intended for the robust and adaptable control of a multifunctional prosthetic hand using multichannel surface electromyography.
Nebojša Malešević, Dimitrije Marković, Gunter Kanitz, Marco Controzzi, Christian Cipriani, Christian Antfolk   +5 more
doaj   +1 more source

Large-vocabulary speaker-independent continuous speech recognition with semi-continuous hidden Markov models [PDF]

, 1989
A semi-continuous hidden Markov model based on the muluple vector quantization codebooks is used here for large.vocabulary speaker-independent continuous speech recognition in the techn,ques employed here.
H. W. Hon, K. F. Lee, X. D. Huang
core   +1 more source