Results 51 to 60 of about 1,619 (228)
Resource System with Losses in a Random Environment
Mathematics, 2021 The article deals with queueing systems with random resource requirements modeled as bivariate Markov jump processes. One of the process components describes the service system with limited resources.
Valeriy Naumov, Konstantin Samouylov
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Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
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Integrative Zoology, EarlyView.Museum specimens provide a rich source of historical DNA, enabling insights into phylogenetic relationships and demographic history of the endangered Koklass Pheasant. Our findings uncovered a previously unrecognized population in Guizhou province and highlighted elevated extinction risk in populations from Anhui province and Southern China, informing ...
Zhiyong Jiang +9 more
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Infinite-server queueing tandem with Markovian arrival process and service depending on its state
, 2023 We consider the infinite-server queueing tandem with the Markovian arrival process. The service time of messages at the first stage and the probability of their transition to the second stage are determined by the type of message that corresponds to the ...
Maria Shklennik +5 more
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Methods in Ecology and Evolution, EarlyView.Abstract Step‐selection analysis (SSA) is a popular tool for estimating resource/habitat selection conditional on the local availability of conditions as determined by an animal's movement capacity. These models can be subsequently used to parameterize a movement model; however, most SSAs focus instead merely on interpreting the direction and magnitude
Natasha Ellison‐Neary +4 more
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A Queuing Model for Mixed Traffic Flows on Highways considering Fluctuations in Traffic Demand
Journal of Advanced Transportation, 2022 Modelling the mixed traffic flows of autonomous vehicles (AVs) and human-driven vehicles (HVs) on highways is challenging. Randomness, fluctuations, and congestion exist in the mixed traffic flows.
Juanxiu Zhu, Lu Hu, Zikang Chen, Han Xie
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Perturbation Theory for the Asymptotic Decay Rates in the Queues with Markovian Arrival Process and/or Markovian Service Process – Correction [PDF]
Queueing Systems, 2001 Three kinds of queues with Markovian arrival process and/or Markovian service process, are considered in this paper. In great generality, their basic steady-state distributions have asymptotically exponential tails. We investigate the sensitivity of these asymptotic decay rates to the small entrywise perturbations in the parameter matrices of the ...
Attahiru Sule Alfa +2 more
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British Journal of Educational Technology, EarlyView.Abstract As students learn and practice new skills in university courses, their behaviour can change in response to competing demands and increasing content complexity. However, most metrics used to evaluate study behaviour focus on the number or sequence of activities rather than on the change of behaviour.
Oleksandra Poquet +2 more
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A Markovian arrival stream approach to stochastic gene expression in cells
, 2023 We analyse a generalisation of the stochastic gene expression model studied recently in Fromion et al. (SIAM J Appl Math 73:195-211, 2013) and Robert (Probab Surv 16:277-332, 2019) that keeps track of the production of both mRNA and protein molecules ...
Brian Fralix +5 more
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Retrial BMAP/PH/N Queueing System with a Threshold-Dependent Inter-Retrial Time Distribution
Mathematics, 2022 In this paper, we study a multi-server queueing system with retrials and an infinite orbit. The arrival of primary customers is described by a batch Markovian arrival process (BMAP), and the service times have a phase-type (PH) distribution.
Valentina I. Klimenok +3 more
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