Results 61 to 70 of about 24,804 (235)
Learning Evolutionary Stages with Hidden Semi-Markov Model for Predicting Social Unrest Events
Discrete Dynamics in Nature and Society, 2020 Social unrest events are common happenings in modern society which need to be proactively handled. An effective method is to continuously assess the risk of upcoming social unrest events and predict the likelihood of these events. Our previous work built
Fengcai Qiao, Xin Zhang, Jinsheng Deng
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Biological Reviews, EarlyView.ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins +9 more
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Insight of Elementary Steps on the Polyethylene and Polypropylene Co‐Pyrolysis
Carbon and Hydrogen, EarlyView.Pyrolysis of PP initiates first, accelerating PE cracking via secondary radical transfer, leading to n‐hydrocarbon yield enhancement. Py–GC/MS and nanoreactor computation are in agreement on the elementary step proposal. ABSTRACT Pyrolysis with gas chromatography & mass spectrometry (Py–GC/MS) technique was employed to analyze the yield variation of ...
Naiwen Xu +6 more
wiley +1 more source
Explicit Modeling of Brain State Duration Using Hidden Semi Markov Models in EEG Data
IEEE AccessWe consider the detection and characterization of brain state transitions based on ongoing electroencephalography (EEG). Here, a brain state represents a specific brain dynamical regime or mode of operation that produces a characteristic quasi-stable ...
Nelson J. Trujillo-Barreto +3 more
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Design of Abnormal Heart Sound Recognition System Based on HSMM and Deep Neural Network
Medical Devices: Evidence and Research, 2022 Hai Yin,1 Qiliang Ma,2 Junwei Zhuang,1 Wei Yu,1 Zhongyou Wang3 1School of Biomedical Engineering and Medical Imaging, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People’s Republic of China; 2School of ...
Yin H, Ma Q, Zhuang J, Yu W, Wang Z
doaj
IEEE Access, 2023 There is ongoing interest in the dynamics of resting state brain networks (RSNs) as potential predictors of cognitive and behavioural states. Multivariate Autoregressors (MAR) are used to model regional brain activity as a linear combination of past ...
Hernan Hernandez Larzabal +6 more
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Hidden semi-Markov models for rainfall-related insurance claims
Insurance: Mathematics and Economics, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yue Shi +3 more
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Applications of hidden Markov models in financial modelling [PDF]
, 2008 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel University.Various models driven by a hidden Markov chain in discrete or continuous time are developed to capture the stylised features of market variables whose ...
Erlwein, Christina
core
PDA-BCJR algorithm for factorial hidden Markov models with application to MIMO equalisation
, 2006 In this paper we develop an efficient algorithm for inference in Factorial Hidden Markov Models (FHMM), which is particularly suitable for turbo equalisation in Multiple Input-Multiple Output (MIMO) systems.
Piechocki, Robert +7 more
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Implied distributions in multiple change point problems [PDF]
, 2011 A method for efficiently calculating exact marginal, conditional and joint distributions for change points defined by general finite state Hidden Markov Models is proposed.
Aston, John A. D. +5 more
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