Results 131 to 140 of about 21,998,513 (385)
, 2012 We consider an extension of Discrete Time Markov Chain queueing model to the quantum domain by use of Discrete Time Quantum Markov Chain. We introduce methods for numerical analysis of such models.
Gawron, Piotr +2 more
core +1 more source
Modeling stochastic gene expression: From Markov to non-Markov models
Mathematical Biosciences and Engineering, 2020 Gene expression is an inherently noisy process due to low copy numbers of mRNA or protein. The involved reaction events may happen in a Markov fashion but also in a non-Markov manner, depending on waiting-time distributions for the occurrence of reaction events.
Jia Jun Zhang +4 more
openaire +4 more sources
Markov models in cardiac surgery
Journal of Cardiac Surgery, 2020 Spinal cord ischemia remains a dreadful complication after thoracoabdominal aortic aneurysm repair. The role of cerebrospinal fluid drain in such patients needs further clarifications. Tam and colleagues carried out an interesting decision analysis study that supports the routine use of the cerebrospinal fluid drain after thoracoabdominal aneurysm ...
Marco Moscarelli +2 more
openaire +4 more sources
International Journal of COPD, 2020 Bhavesh Lakhotia,1 Ronan Mahon,1 Florian S Gutzwiller,2 Andriy Danyliv,1 Ivan Nikolaev,2 Praveen Thokala3 1Novartis Ireland Limited, Dublin, Ireland; 2Novartis Pharma, Basel, AG, Switzerland; 3PT Health Economics Ltd, Sheffield, UKCorrespondence: Ronan ...
Lakhotia B +5 more
doaj
Mobility Aware Network Selection in a Heterogeneous Wireless Environment
Transport and Telecommunication, 2020 Different Radio Access Technologies (RATs) coexist in the same area has encouraged the researchers to get profit from the available networks by selecting of the best RAT at each moment of the call session to satisfy the user requirements.
Bendaoud Fayssal +2 more
doaj +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
Advanced Intelligent Systems, EarlyView.This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen +4 more
wiley +1 more source
Cortical synapses of the world's smallest mammal: An FIB/SEM study in the Etruscan shrew
Journal of Comparative Neurology, Volume 531, Issue 3, Page 390-414, February 2023., 2023 The present work provides a quantitative dataset of synapses from the Etruscan shrew (the smallest known terrestrial mammal). We have identified common and differing principles of synaptic organization compared to other mammalian species. Abstract The main aim of the present study was to determine if synapses from the exceptionally small brain of the ...
Lidia Alonso‐Nanclares +8 more
wiley +1 more source
A Hidden Markov Model approach to variation among sites in rate of evolution.
Molecular biology and evolution, 1996 The method of Hidden Markov Models is used to allow for unequal and unknown evolutionary rates at different sites in molecular sequences. Rates of evolution at different sites are assumed to be drawn from a set of possible rates, with a finite number of ...
J. Felsenstein, G. Churchill
semanticscholar +1 more source
Context Tree Estimation in Variable Length Hidden Markov Models [PDF]
arXiv, 2011 We address the issue of context tree estimation in variable length hidden Markov models. We propose an estimator of the context tree of the hidden Markov process which needs no prior upper bound on the depth of the context tree. We prove that the estimator is strongly consistent.
arxiv
Advancements in Machine Learning for Microrobotics in Biomedicine
Advanced Intelligent Systems, EarlyView.Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi +6 more
wiley +1 more source