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Robust Transmission of Speech LSFs Using Hidden Markov Model-Based Multiple Description Index Assignments
Published 2008-01-01Get full text
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303
Symbolic Important Point Perceptually and Hidden Markov Model Based Hydraulic Pump Fault Diagnosis Method
Published 2018-12-01Subjects: Get full text
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304
Use of Hidden Markov Model Technique to Characterize and Classify the Wideband Mobile Radio Channel in Different Environments
Published 2024-04-01Subjects: “…Hidden Markov model…”
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305
Shift Detection in Hydrological Regimes and Pluriannual Low-Frequency Streamflow Forecasting Using the Hidden Markov Model
Published 2020-07-01“…The Standardized Runoff Index (SRI), the Pruned Exact Linear Time (PELT) algorithm, the breaks for additive seasonal and trend (BFAST) method, and the hidden Markov model (HMM) were used to identify the shifts in low frequency. …”
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306
Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and Hidden Markov Models
Published 2023-03-01Subjects: Get full text
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307
Identification of Phage Receptor-Binding Protein Sequences with Hidden Markov Models and an Extreme Gradient Boosting Classifier
Published 2022-06-01Subjects: Get full text
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308
A state dependent mandatory lane-changing model for urban arterials with hidden markov model method
Published 2019-06-01“…Keywords: Lane-changing, Hidden Markov Model, Urban arterial…”
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309
Classification of Flying Insects with high performance using improved DTW algorithm based on hidden Markov model
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310
When Eyes Wander Around: Mind-Wandering as Revealed by Eye Movement Analysis with Hidden Markov Models
Published 2021-11-01Subjects: “…eye movement analysis with hidden Markov models (EMHMM)…”
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311
Stochastic Precipitation Generation for the Xilingol League Using Hidden Markov Models with Variational Bayes Parameter Estimation
Published 2023-10-01Subjects: Get full text
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312
Spatially Weighted Bayesian Classification of Spatio-Temporal Areal Data Based on Gaussian-Hidden Markov Models
Published 2023-01-01“…This article is concerned with an original approach to generative classification of spatiotemporal areal (or lattice) data based on implementation of spatial weighting to Hidden Markov Models (HMMs). In the framework of this approach data model at each areal unit is specified by conditionally independent Gaussian observations and first-order Markov chain for labels and call it local HMM. …”
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313
A Hidden Markov Model to Address Measurement Errors in Ordinal Response Scale and Non-Decreasing Process
Published 2020-04-01Subjects: Get full text
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314
Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model.
Published 2023-01-01“…Because the modalities reported by these sources were incomplete and occasionally misaligned, a model was needed to combine and deconflict these data to provide a more comprehensive description of modalities nationwide. A hidden Markov model (HMM) was used to infer the most likely learning modality for each district on a weekly basis. …”
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315
A Review of Three Different Studies on Hidden Markov Models for Epigenetic Problems: A Computational Perspective
Published 2014-12-01Subjects: Get full text
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316
Continuous action segmentation and recognition using hybrid convolutional neural network‐hidden Markov model model
Published 2016-09-01Subjects: “…hybrid convolutional neural network-hidden Markov model model…”
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317
Online Motion Planning for Safe Human–Robot Cooperation Using B-Splines and Hidden Markov Models
Published 2023-08-01Subjects: Get full text
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318
Recognizing Human Activities from Sensors Using Hidden Markov Models Constructed by Feature Selection Techniques
Published 2009-02-01Subjects: Get full text
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319
Prediction of annual rainfall pattern using Hidden Markov Model (HMM) in Jos, Plateau State, Nigeria
Published 2016-11-01Subjects: Get full text
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320
Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables
Published 2019-04-01“…The pipeline consists of three smart annotation approaches, namely edge detection of the pressure data, local cyclicity estimation, and iteratively trained hierarchical hidden Markov models. Using this pipeline, we have collected and labeled a dataset with over 150,000 labeled cycles, each with 2 phases, from 80 subjects, which we have made publicly available. …”
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