Results 111 to 120 of about 14,908,682 (295)
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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Land Degradation &Development, EarlyView.ABSTRACT Soil erosion poses a critical threat to ecological security in mountain watersheds worldwide. Predicting its dynamics and associated soil organic carbon (SOC) loss remains an ongoing challenge during the 21st century due to complex interactions among climate, land use, and topography.
Yongde Kang +3 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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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
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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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Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch
Naval Research Logistics (NRL), EarlyView.ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
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Gestione underflow nei modelli hidden Markov [PDF]
, 2022 La trattazione si propone di introdurre i modelli hidden Markov ed i problemi matematici ad essi correlati per poi passare alla questione centrale, quella dell'underflow e della sua gestione.
Fabris, Alessandro
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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
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Safeguarded Reinforcement Learning for Dynamic Environments
Optimal Control Applications and Methods, EarlyView.This paper uses a combination of Reinforcement Learning and Funnel Control to train a fast and safe controller for systems operating in changing environments. Furthermore, the presented formulation overcomes former limitations associated with the need for predefined reference trajectories.
Simon Gottschalk
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