A Novel Human-Vehicle Interaction Assistive Device for Arab Drivers Using Speech Recognition by Ghadeer A. Jaradat, Mohammad A. Alzubaidi, Mwaffaq Otoom

“…For the decoding of noise-free audio, a Deep Neural Network + Hidden Markov Model provided 94.832% accuracy, a Subspace Gaussian Mixture Model + Hidden Markov Model provided 94.2% accuracy, and the best Gaussian Mixture Model + Hidden Markov Model provided 94.13% accuracy. …”
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Intelligent health monitoring system based on smart clothing by Chung-Chih Lin, Chih-Yu Yang, Zhuhuang Zhou, Shuicai Wu

“…The system integrated our proposed fast empirical mode decomposition algorithm for electrocardiography denoising and hidden Markov model–based algorithm for fall detection. …”
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Isolated Malay speech recognition using fuzzy logic by Normiza, Mohd Yusof

“…Many methods and approach has been used by researcher to develop speech recognition system such as neural network and Hidden Markov Model. This research aim is to develop a isolated Malay speech recognition using Fuzzy Logic method. …”
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TRAILS: Tree reconstruction of ancestry using incomplete lineage sorting. by Iker Rivas-González, Mikkel H Schierup, John Wakeley, Asger Hobolth

“…Posterior decoding of the hidden Markov model can be used to infer the ancestral recombination graph for the alignment and details on demographic changes within a branch. …”
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Fuzzy Neutrosophic Soft Set Based Transfer-Q-Learning Scheme for Load Balancing in Uncertain Grid Computing Environments by Bhargavi K, Shiva Sajjan G.

“…Using two potential forms of Hidden Markov Models (HMM), i.e., Profile Hidden Markov Model (PF_HMM) and Pair Hidden Markov Model (PR_HMM), the uncertainties in the task and system parameters are identified. …”
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Gaussian Process Dynamical Models for Hand Gesture Interpretation in Sign Language by Gamage, Nuwan, Chow, Kuang Ye, Akmeliawati, Rini, Demidenko, Serge

“…Classifying human hand gestures in the context of a Sign Language has been historically dominated by Artificial Neural Networks and Hidden Markov Model with varying degrees of success. The main objective of this paper is to introduce Gaussian Process Dynamical Model as an alternative machine learning method for hand gesture interpretation in Sign Language. …”
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Use of Artificial Genomes in Assessing Methods for Atypical Gene Detection.

“…We have used the framework of a generalized hidden Markov model to create artificial genomes modeled after genuine genomes. …”
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Parameter estimation for robust HMM analysis of ChIP-chip data by Humburg Peter, Bulger David, Stone Glenn

“…</p> <p>Results</p> <p>Here we develop a hidden Markov model for the analysis of chromatin structure ChIP-chip tiling array data, using <it>t </it>emission distributions to increase robustness towards outliers. …”
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Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings by Boussemart, Y., Cummings, M.L., Las Fargeas, J., Roy, N.

“…In this paper, we model operator states using hidden Markov models applied to human supervisory control behaviors. …”
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Dissecting beta-state changes during timed movement preparation in Parkinson’s disease by Heideman, SG, Quinn, AJ, Woolrich, MW, van Ede, F, Nobre, AC

“…Thus, the increased granularity of the Hidden Markov Model analysis (compared with conventional analysis of power) provides increased sensitivity and suggests a possible reason for impairments of timed movement preparation in Parkinson’s disease.…”

Deploying acoustic detection algorithms on low-cost, open-source acoustic sensors for environmental monitoring by Prince, P, Hill, A, Covarrubias, E, Doncaster, P, Snaddon, JL, Rogers, A

“…For each algorithm, we report on real-world deployments carried out with partner organisations and also benchmark the hidden Markov model against a convolutional neural network, a deep-learning technique commonly used for acoustics. …”

A Hybrid Method for Keystroke Biometric User Identification by Md L. Ali, Kutub Thakur, Muath A. Obaidat

“…The partially observable hidden Markov model (POHMM) is an extension of the hidden Markov model (HMM), which has shown promising performance in user verification and handling missing or infrequent data. …”
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Bayesian nonparametric learning with semi-Markovian dynamics by Johnson, Matthew J., Ph. D. Massachusetts Institute of Technology (Matthew James)

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PURWARUPA SISTEM PENYAKLARAN ALAT ELEKTRONIK BERBASIS PENGENALAN UCAPAN MENGGUNAKAN RASPBERRY PI by , AHMAD ANUNG PROBO KUNCORO, , Prof. Dr. Jazi Eko Istiyanto, M.Sc.

“…Speech recognition is built using Hidden Markov Model covered in Hidden Markov Model Toolkit (HTK) and run by Julius software. …”

Imaging concentration profile using laser based tomography [microform] / by Adie Mohd. Khafe, Fakulti Kejuruteraan Elektrik

Deploying Acoustic Detection Algorithms on Low-Cost, Open-Source Acoustic Sensors for Environmental Monitoring by Peter Prince, Andrew Hill, Evelyn Piña Covarrubias, Patrick Doncaster, Jake L. Snaddon, Alex Rogers

“…For each algorithm, we report on real-world deployments carried out with partner organisations and also benchmark the hidden Markov model against a convolutional neural network, a deep-learning technique commonly used for acoustics. …”
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Bayesian modeling of ChIP-chip data using latent variables by Tian Yanan, Liang Faming, Wu Mingqi

“…Various methods have been proposed in the literature for analyzing the ChIP-chip data, such as the sliding window methods, the hidden Markov model-based methods, and Bayesian methods. …”
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Extracting fields from free-text by Cattori, Pedro

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A medication extraction framework for electronic health records by Bodnari, Andreea

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Exploration of ethereum investment strategy with HMM by Ng, Jacqueline Jia Yee, Ng, Yongwen, Wong, Wei Hao

“…Using Mean Absolute Percentage Error as the indication of forecasting power, the selected Hidden Markov Model (HMM) has 3 states and 3 mixtures of Gaussian distribution, with the lowest MAPE of 4.63568. …”
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