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Hidden Markov Models
A Markov model describes a sequence of possible states with random transition between states where the probability of the current state depends only...
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Hamptonese and Hidden Markov Models
James Hampton was a quiet and secretive man who left behind a monumental work of visionary art, along with a strange handwritten script. Hampton's...
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Estimation and Strong Approximation of Hidden Markov Models
We give novel conditions for the existence of the limit of the normalized log-likelihood function for a finite-state continuous read-out Hidden...
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Machine Learning-Based Attack Detection for Wireless Sensor Network Security Using Hidden Markov Models
The progress of Wireless Sensor Networks (WSNs) technologies has introduced a greater susceptibility of sensors and networks to being victims of...
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Geological risk prediction under uncertainty in tunnel excavation using online learning and hidden Markov model
The accurate estimation of geological risks is essential for preventing geohazards, and ensuring efficient and safe construction processes. This...
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Automatic gender recognition and speaker identification of Rhesus Macaques (Macaca mulatta) using hidden Markov models (HMMs)
Machine learning provides researchers in speech processing and bioacoustics numerous advanced and non-invasive techniques to investigate animal...
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Automatic age recognition, call-type classification, and speaker identification of Zebra Finches (Taeniopygia guttata) using hidden Markov models (HMMs)
Hidden Markov models (HMMs) were developed and implemented to discriminate between each of the 2 ages, 11 call-types, and 51 speakers of birds using...
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Classifying Rhythm Game Chart Difficulty Level Using Hidden Markov Models
Difficulty levels in rhythm game charts are normally labeled with the corresponding chart author’s relative opinion, and there exists no real...
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Fuzzy Hidden Markov Chain Based Models for Time-Series Data
The hidden Markov model (HMM) has shown a remarkable capability when dealing with time series data. However, when extended to multiple sequence...
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Hidden Markov Models and Applications
This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). In particular, the book presents...
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A Hidden Markov Model-based fuzzy modeling of multivariate time series
This study elaborates on a novel Hidden Markov Model (HMM)-based fuzzy model for time series prediction. Fuzzy rules (rule-based models) are employed...
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RETRACTED ARTICLE: The design of network security protection trust management system based on an improved hidden Markov model
With the growth of the Internet, network security issues have become increasingly complex, and the importance of node interaction security is also...
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Hidden Markov Model for early prediction of the elderly’s dependency evolution in ambient assisted living
The integration of information and communication technologies (ICT) can be of great utility in monitoring and evaluating the elderly’s health...
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Hidden Markov Trust for Attenuation of Selfish and Malicious Nodes in the IoT Network
The exposure of IoT nodes to the internet makes them vulnerable to malicious attacks and failures. These failures affect the survivability,...
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Hidden Markov Model-Driven Speech Recognition for Power Dispatch
In order to use hidden Markov model to realize power dispatch speech recognition and improve the accuracy of recognition results, this paper will...
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Active Fault-tolerant Control for Discrete-time Markov Jump LPV Systems via Time-varying Hidden Markov Model Approach
In this paper, the active fault-tolerant control problem is studied for a class of discrete-time Markov jump linear parameter-varying systems. The...
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Modeling of human–robot collaboration for flexible assembly—a hidden semi-Markov-based simulation approach
Flexible assembly systems are difficult to fully automate, so humans are crucial to add flexibility to the system. Human–robot collaboration (HRC)...
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Pose recognition in national dance using contour model, hidden Markov model, and Baum–Welch algorithm
Video analysis of human motion has been widely used in intelligent monitoring, motion recognition, and virtual reality as a research hotspot in...
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A Hybrid Hidden Markov Model and Time-Frequency Approach to Impact Echo Signal Classification
Impact echo (IE) is a popular nondestructive evaluation technique, which can detect and locate delaminations and subsurface defects within concrete...
