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Sto godina Teorije redova čekanja / A hundred years of the Queueing Theory
U radu je prikazan nastanak i razvoj Teorije redova čekanja, poznate i kao Teorija masovnog opsluživanja. Opisan je i istorijsko-tehnološki kontekst vremena u kojem je došlo do publikovanja prvih radova u oblasti koja će se kasnije razviti u samostalnu ...
Nebojša V. Nikolić
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In queueing theory, the study ...
Veniamin N Tarasov +1 more
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Queueing theory is currently a widely used method for optimizing activities not only in air transport but also in other sectors, in both production and the use of personnel.
Edina Jenčová +2 more
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Currently, streaming communications are widespread through YouTube and other media. Streaming communication focuses on real-time communication and requires flow admission control to ensure communication quality.
Sumiko Miyata, Taichi Kojima
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David Stanford, Richard Boucherie, and Peter Taylor outline how queueing theory could help tackle some of the challenges in the healthcare ...
Stanford, David A. +2 more
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Queue-Informed Neural Network Model for Estimating Queueing Delay in PON-Based Aggregation Networks
Future carrier networks will need to aggregate traffic from widely distributed sensor nodes while meeting stringent service requirements in industrial and logistics applications.
Kyota Hattori +3 more
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A literature review on retrial queueing system with Bernoulli vacation [PDF]
The retrial phenomenon occurs inherently in a wide range of queueing systems. The majority of retrial queueing models do not account for vacation. However, in practice, retrial queueing systems undergo vacations for maintenance or other reasons.
Micheal Mathavavisakan Nicholas Gnanasekar +1 more
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Queueing Models for Cognitive Radio Networks: A Survey
Cognitive radio networks (CRNs) are an emerging paradigm for next generation wireless communication systems allowing for more efficient radio spectrum utilization.
Filip Paluncic +3 more
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Use Cases of Machine Learning in Queueing Theory Based on a GI/G/K System
Machine learning (ML) in queueing theory combines the predictive and optimization capabilities of ML with the analytical frameworks of queueing models to improve performance in systems such as telecommunications, manufacturing, and service industries. In
Dmitry Efrosinin +3 more
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This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang +10 more
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