Results 121 to 130 of about 14,908,682 (295)
Ephemeral resources promote adaptive sociality in wild guppies
Sociality can facilitate the discovery of novel resources, yet it can also entail costs, including increased competition, aggression, sexual harassment and disease transmission. Selection should therefore favour social flexibility as a response to changes in resource conditions, allowing individuals to adjust their social associations optimally ...
Lysanne Snijders +6 more
wiley +1 more source
Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition
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
ABSTRACT Cold atmospheric plasma (CAP) is effective against a variety of microorganisms. Here, we described effects on an Escherichia coli strain isolated from hospital wastewater caused by treatment with physical plasma. E. coli GW‐AmxH19 was incubated in artificial wastewater and treated for 15 min with CAP.
Jörg Bernhardt +11 more
wiley +1 more source
Bayesian inference for Hidden Markov Model [PDF]
Hidden Markov Models can be considered an extension of mixture models, allowing for dependent observations. In a hierarchical Bayesian framework, we show how Reversible Jump Markov Chain Monte Carlo techniques can be used to estimate the parameters of ...
Luisa Scaccia, Rosella Castellano
core
Prediction of Prion Proteins in E. coli Based on Bimodal Sequence Characteristics
ABSTRACT Prions are infectious proteins that bear misfolded conformations capable of converting folded states into misfolded aggregates under physiologically relevant conditions. In mammals, prions cause deadly maladies including Creutzfeldt‐Jakob and chronic wasting disease. To date, several prion proteins have been identified in eukaryotes, primarily
Katherine Shreeve +5 more
wiley +1 more source
Markov Observation Models and Deepfakes
Herein, expanded Hidden Markov Models (HMMs) are considered as potential deepfake generation and detection tools. The most specific model is the HMM, while the most general is the pairwise Markov chain (PMC). In between, the Markov observation model (MOM)
Michael A. Kouritzin
doaj +1 more source
Complexity of Comparing Hidden Markov Models
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
ABSTRACT Allosteric communication is fundamental to the function of proteins, but identifying the residue‐level pathways through which signals travel and their directionality is still a major challenge. Here we present a multi‐metric information‐theoretic framework that identifies candidate allosteric communication pathways from a single protein ...
Aysima Hacisuleyman, Dirk Fasshauer
wiley +1 more source
Second-order hidden Markov model.
Second-order hidden Markov model.
Ying Chen (9697) +3 more
core +1 more source
How to detect the life cycle of technology in the domain of endoscopy based on the hidden Markov model [PDF]
Purpose: This study aimed to identify how to diagnose technology life cycle of endoscopy by using data patents and hidden Markov model. Methodology: This applied research was conducted through a descriptive approach using exploratory method.
Ali Mansoori +2 more
doaj

