Results 81 to 90 of about 14,251,445 (242)
Applied Computer ScienceThe best emotion recognition system based on physiological signals with a simple operatory should have higher accuracy and fast response speed. This paper aims to develop an emotion recognition system using a novel hybrid system based on Hidden Markov ...
Sahar ZAMANI KHANGHAH, Keivan MAGHOOLI
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Identifiable regional and neural network abnormalities in early childhood anxiety
JCPP Advances, EarlyView.Abstract Background Although the neural underpinnings of anxiety have been investigated, most research has been confined to adolescence and adulthood, with less of a focus on the early childhood period. Little is known about the role of anticipatory fear processing early childhood, which is a sensitive period for anxiety development.
Khalil I. Thompson +7 more
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EntropyWe define an evolving in-time Bayesian neural network called a Hidden Markov Neural Network, which addresses the crucial challenge in time-series forecasting and continual learning: striking a balance between adapting to new data and appropriately ...
Lorenzo Rimella, Nick Whiteley
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Journal of Electrical Systems and Information Technology, 2017 This paper presents an analytical approach of an offline handwritten Arabic text recognition system. It is based on the Hidden Markov Models (HMM) Toolkit (HTK) without explicit segmentation. The first phase is preprocessing, where the data is introduced
El Moubtahij Hicham +2 more
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The Journal of Wildlife Management, EarlyView.We used GPS video camera collar data from barren‐ground caribou in the Porcupine and Western Arctic herds to validate antler‐ and movement‐based methods for estimating annual reproductive metrics. Antler retention was highly accurate for estimating parturition, but the movement methods we tested performed marginally for estimating parturition and ...
Heather E. Johnson +6 more
wiley +1 more source
Forecasting New Cases of Bipolar Disorder Using Poisson Hidden Markov Model
International Clinical Neuroscience Journal, 2018 Background: Bipolar disorder (BD) is a major public health problem. In time series count data there may be over dispersion, and serial dependency. In such situation some models that can consider the dependency are needed. The purpose current research was
Behnaz Alafchi +4 more
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Land Degradation &Development, EarlyView.ABSTRACT Urban expansion has exerted both direct and indirect impacts on natural land and ecosystem services it supports, driven by increasing population and food demand, yet these underlying pathways remain insufficiently distinguished. Here, we quantified the losses of soil conservation services (water erosion regulation and sandstorm prevention) and
Shuai Liu +4 more
wiley +1 more source
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
Modeling Pipeline Driving Behaviors: A Hidden Markov Model Approach [PDF]
Driving behaviors at intersection are complex because drivers have to perceive more traffic events than normal road driving and thus are exposed to more errors with safety consequences. Drivers make real-time responsesin a stochastic manner.
Xi Zou, David Levinson
core
Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source