Results 111 to 120 of about 73,803 (311)
مجله اپیدمیولوژی ایران, 2018 Background and Objectives: Tuberculosis is a chronic bacterial disease and a major cause of morbidity and mortality. It is caused by a Mycobacterium tuberculosis.
M Safari +3 more
doaj
Bayesian nonparametric hidden Markov models with application to the analysis of copy-number-variation in mammalian genomes [PDF]
, 2009 We consider the development of Bayesian Nonparametric methods for product partition models such as Hidden Markov Models and change point models.
Yau, C. +3 more
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Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting
Energy Science &Engineering, EarlyView.ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che +4 more
wiley +1 more source
Complexity of Comparing Hidden Markov Models
, 2001 The basic theory of hidden Markov models was developed and applied to problems in speech recognition in the late 1960's, and has since then been applied to numerous problems, e.g. biological sequence analysis. In this paper we consider the problem of computing the most likely string generated by a given model, and its implications on the complexity of ...
Lyngsø, R.B., Pedersen, C.N.S.
openaire +2 more sources
Hidden Markov random field and FRAME modelling for TCA-image analysis [PDF]
Tooth Cementum Annulation (TCA) is an age estimation method carried out on thin cross sections of the root of human teeth. Age is computed by adding the tooth eruption age to the count of annual incremental lines that are called tooth rings and appear in
Katy Streso, Francesco Lagona
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Modelling human control behaviour with a Markov-chain switched bank of control laws [PDF]
, 1998 A probabilistic model of human control behaviour is described. It assumes that human behaviour can be represented by switching among a number of relatively simple behaviours.
Murray-Smith, R.
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Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment
Exploration, EarlyView.This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng +11 more
wiley +1 more source
Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition
International Journal of Distributed Sensor Networks, 2018 Recognition of human activities is getting into the limelight among researchers in the field of pervasive computing, ambient intelligence, robotic, and monitoring such as assistive living, elderly care, and health care.
Yang Sung-Hyun +3 more
doaj +1 more source
Journal of Forecasting, EarlyView.ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu +3 more
wiley +1 more source
Detecting Turning Points with Many Predictors through Hidden Markov Models [PDF]
This paper explores the American business cycle with the Hidden Markov Model (HMM) as a monitoring tool using monthly data. It exhibits ten US time series which offer reliable information to detect recessions in real time.
David Saint-Martin, Benoit Bellone
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