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HMM-CPM: a cloud instance resource prediction method tracing the workload trends via hidden Markov model
Accurate prediction of cloud resource instances is becoming increasingly important for public cloud users and cloud service providers, because it...
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Hidden Markov Model
This chapter first introduces the basic concepts of the Hidden Markov Model, and then describes the probability calculation algorithms, learning...
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A secure adaptive Hidden Markov Model-based JPEG steganography method
This study introduces J-HMMSteg , an adaptive and secure JPEG image steganography technique designed for data embedding with minimal distortion....
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Modeling Markov sources and hidden Markov models by P systems
In this work, we provide several algorithms to obtain stochastic transition P systems from Markov sources and Hidden Markov Models. In both cases,...
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Packet loss concealment method based on hidden Markov model and decision tree for AMR-WB codec
Packet loss concealment (PLC) techniques are utilized to improve the quality of Voice over IP (VoIP) communications by reconstructing missing speech...
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Community detection model for dynamic networks based on hidden Markov model and evolutionary algorithm
Finding communities of connected individuals in complex networks is challenging, yet crucial for understanding different real-world societies and...
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Modification of hybrid RNN-HMM model in asset pricing: univariate and multivariate cases
Hidden Markov Model (HMM) which is frequently used in time series modeling with satisfactory results is commonly used for predicting stock prices in...
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Energy enhancement of routing protocol with hidden Markov model in wireless sensor networks
Energy enhancement is a crucial factor while designing routing models in wireless sensor networks (WSNs). Many energy efficiency routing schemes are...
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An Improved Hidden Markov Model for Indoor Positioning
This paper proposes an indoor positioning method combines machine learning, IMU (Inertial Measurement Unit) and an improved HMM (Hidden Markov...
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Functional concurrent hidden Markov model
This study considers a functional concurrent hidden Markov model. The proposed model consists of two components. One is a transition model for...
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Early Prediction of Mathematics Learning Achievement of Elementary Students Using Hidden Markov Model
Elementary students usually felt the fractions and decimals concepts were challenged concepts. This leads to misconceptions due to their symbolic...
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Expectile hidden Markov regression models for analyzing cryptocurrency returns
In this paper we develop a linear expectile hidden Markov model for the analysis of cryptocurrency time series in a risk management framework. The...
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Voice Enabled Form Filling Using Hidden Markov Model
Speech Recognition technology is widely used for voice-enabled form filling. The manual process of filling out forms by ty** has become...
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Prediction of schizophrenia from activity data using hidden Markov model parameters
In this paper, we address the problem of predicting schizophrenia based on a persons measured motor activity over time. A key challenge to achieve...
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Partially Hidden Markov Chain Multivariate Linear Autoregressive model: inference and forecasting—application to machine health prognostics
Time series subject to regime shifts have attracted much interest in domains such as econometry, finance or meteorology. For discrete-valued regimes,...
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A hidden Markov model method for non-stationary noise reduction: case study on Sentinel data for mowing detection
We propose a method for reducing the non-stationary noise in signal time series of Sentinel data, based on a hidden Markov model. Our method is...
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Recognition of home activities for incomplete spinal cord injury areas utilizing models of hidden Markov simulation
Alerting investigators with practitioners for patient variability in the mobilization of activity undergone in the identification, recognition, and...
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Reversed particle filtering for hidden markov models
We present an approach to selecting the distributions in sampling-resampling which improves the efficiency of the weighted bootstrap. To complement...
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Hidden Markov Models with Unobservable Transitions
We consider Hidden Markov Models (HMMs) that admit unobservable \(\varepsilon \)...