Results 61 to 70 of about 1,619 (228)
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
International Statistical Review, EarlyView.Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source
Real waiting time in single-server resource queue with Markovian arrival process
, 2023 We consider single-server queue, which models a telecommunication node. Packets arrive in the system according to the Markovian arrival process (MAP).
Paul, Svetlana V. +8 more
core +1 more source
Journal of Animal Breeding and Genetics, EarlyView.ABSTRACT Recent theoretical work shows that the potential of genetic selection to reduce the prevalence of infectious diseases is much larger than expected from classical quantitative genetic theory, due to indirect genetic effects that arise in the transmission process. However, to fully benefit from these indirect effects, we need to estimate genetic
A. D. Hulst +4 more
wiley +1 more source
Time-dependent analysis of virtual waiting time behaviour in discrete time queues [PDF]
, 2005 Discrete time queueing models have been shown previously to be of practical use for modelling the approximate time-dependent behaviour of queue length in systems of the form M(t)/G/c.
Wall, A, Worthington, D J
core
, 2010 Marked point processes (MPP\u27s) play an important role in stochastic modeling. A special class of MPP\u27s is the Markovian Arrival Process (MAP). In this section we will review the concepts, including the history of MAP both in continuous time and in ...
Srinivas R. Chakravarthy +1 more
core +1 more source
An s, S Production Inventory Controlled Self-Service Queuing System
Journal of Probability and Statistics, 2015 We consider a multiserver Markovian queuing system where each server provides service only to one customer. Arrival of customers is according to a Poisson process and whenever a customer leaves the system after getting service, that server is also ...
Anoop N. Nair, M. J. Jacob
doaj +1 more source
Profiling the sleep architecture of ageing adults using a seven‐state continuous‐time Markov model
Journal of Sleep Research, Volume 34, Issue 2, April 2025.Summary Sleep is a complex biological process regulated by networks of neurons and environmental factors. As one falls asleep, neurotransmitters from sleep–wake regulating neurones work in synergy to control the switching of different sleep states throughout the night. As sleep disorders or underlying neuropathology can manifest as irregular switching,
Jonathon Jacobs +3 more
wiley +1 more source
Non-identifiability of the two state Markovian Arrival process [PDF]
, 2009 In this paper we consider the problem of identifiability of the two-state Markovian Arrival process (MAP2). In particular, we show that the MAP2 is not identifiable and conditions are given under which two different sets of parameters, induce identical
Lillo Rodríguez, Rosa Elvira +2 more
core
Stationary characteristics of unreliable queueing system with a batch Markovian arrival process
Informatika, 2019 Unreliable queuing systems are of considerable interest both in mathematical terms and for applications. Systems with stationary Poisson flows of customers and breakdowns and exponentially distributed service and repair times are mainly considered.
V. I. Klimenok
doaj
Two‐layer modelling of IEEE 802.11x channel occupancy
Electronics Letters, 2023 Low power IoT communication signals (e.g., Bluetooth and ZigBee) may seriously suffer from the presence of high‐power co‐channel interference like wireless local area network (WLAN) signal.
Jae‐Seok Bang +2 more
doaj +1 more source