Results 101 to 110 of about 8,467,026 (293)

Hidden Markov Models in Speech Recognition

Advances in Electrical and Electronic Engineering, 2008
Voice control is one of the perspective areas of interdisciplinary field called Human Machine Interface (HMI). By the voice control of machines, we usually deal with the recognition of commands from previously defined set.
Jan Krajcovic, Martin Hrncar, Ludmila Muzikarova   +2 more
doaj  

When Politics Meets Money: Geopolitical Risk and Money Demand in the US and Euro Area

International Journal of Finance &Economics, EarlyView.
ABSTRACT This paper investigates the impact of geopolitical risk on real money demand in the United States and the Euro Area using Divisia monetary aggregates. To account for the potential instability of money demand and the complex nature of geopolitical shocks, we employ a comprehensive empirical framework combining linear and non‐linear ...
Anirban Sengupta, Fredj Jawadi, Abdoulkarim Idi Cheffou   +2 more
wiley   +1 more source

Enhancing Botnet Detection in Network Security Using Profile Hidden Markov Models

Applied Sciences
A botnet is a network of compromised computer systems, or bots, remotely controlled by an attacker through bot controllers. This covert network poses a threat through large-scale cyber attacks, including phishing, distributed denial of service (DDoS ...
Rucha Mannikar, Fabio Di Troia
doaj   +1 more source

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, Yiwen Zhang, Denny Schaedig, Anna Bankston, Anoushka Parnerkar, Shrinidhi Jeyaram, Nadine Melhem, Susan B. Perlman   +7 more
wiley   +1 more source

The p53HMM algorithm: using profile hidden markov models to detect p53-responsive genes

BMC Bioinformatics, 2009
Background A computational method (called p53HMM) is presented that utilizes Profile Hidden Markov Models (PHMMs) to estimate the relative binding affinities of putative p53 response elements (REs), both p53 single-sites and cluster-sites.
Yu Xin, Riley Todd, Sontag Eduardo, Levine Arnold   +3 more
doaj   +1 more source

Evolving the structure of hidden Markov models

IEEE Transactions on Evolutionary Computation, 2006
A genetic algorithm (GA) is proposed for finding the structure of hidden Markov Models (HMMs) used for biological sequence analysis. The GA is designed to preserve biologically meaningful building blocks. The search through the space of HMM structures is combined with optimization of the emission and transition probabilities using the classic Baum ...
Kyoung-Jae Won, Adam Prügel-Bennett, Anders Krogh   +2 more
openaire   +3 more sources

Bayesian multi‐state mark‐resight modeling of survival and cause‐specific mortality from telemetered individuals: European fallow deer in Australia

The Journal of Wildlife Management, EarlyView.
We illustrate how a Bayesian multi‐state mark‐resight (MSMR) modeling approach can be used to estimate survival and cause‐specific mortality probabilities of GPS‐collared European fallow deer in southeastern Australia. Our case study illustrates the flexibility of Bayesian MSMR models for incorporating imperfect detection probability (arising from ...
David M. Forsyth, Andrew J. Bengsen, Lee Parker, Rachel P. Hickcox, Darryl I. MacKenzie, Abby E. Bratt, Sebastien Comte   +6 more
wiley   +1 more source

Resident and translocated American black bear movement patterns help identify locations for crossing structures along Interstate 40 in Tennessee and North Carolina

The Journal of Wildlife Management, EarlyView.
Bears selected areas with lower percent slope and higher percent canopy, but movement flow across the landscape was more generalized for translocated bears. Interstate 40 was a barrier to movement, but our models predicted several consistent road segments as having higher than average flow where bears might benefit from crossing structures.
Kristin J. Botzet, Joseph D. Clark, Logan K. Parr   +2 more
wiley   +1 more source

HIPPI: highly accurate protein family classification with ensembles of HMMs

BMC Genomics, 2016
Background Given a new biological sequence, detecting membership in a known family is a basic step in many bioinformatics analyses, with applications to protein structure and function prediction and metagenomic taxon identification and abundance ...
Nam-phuong Nguyen, Michael Nute, Siavash Mirarab, Tandy Warnow   +3 more
doaj   +1 more source

Integrated Prediction and Analysis of Soil Erosion and Soil Organic Carbon Loss in the Dayekou Watershed, Qilian Mountains

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, Shizhe Han, Xiaofeng Ren, Erwen Xu   +3 more
wiley   +1 more source