Results 11 to 20 of about 117 (95)
, 2020 The paper is concerned with the optimal control with respect to N-policy of the M/M/1 queue with constant retrial rate and non-reliable removable server.
Semenova O., Efrosinin D.
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Abstracts of the 84<sup>th</sup> Annual Meeting of the Japanese Cancer Association. [PDF]
Cancer SciCancer Science, Volume 117, Issue S1, Page 1-2148, January 2026.
europepmc +2 more sources
A Retrial Queueing Model With Thresholds and Phase Type Retrial Times
, 2020 There is an extensive literature on retrial queueing models. While a majority of the literature on retrial queueing models focuses on the retrial times to be exponentially distributed (so as to keep the state space to be of a reasonable size), a few ...
Chakravarthy, Srinivas R.
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, 2023 We study the robustness of the cμ-rule for the optimal allocation of a resource consisting of one unreliable server to parallel queues with two different classes of customers.
Sztrik, János +5 more
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, 2020 The paper deals with the sensitivity analysis of reliability and performance measures for a multi-server queueing system where customers at the head of the queue retries to occupy a server in exponentially distributed time.
Efrosinin D.
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Steady-state analysis of M/M/c/c+m – type retrial queueing systems with constant retrial rate [PDF]
, 2020 The presentation deals with a research of bivariate Markov process {X(t), t>0} whose state space is a lattice semistrip S(X)={0,1,..., c+m}. The process X(t) describes the service policy of a multi-server retrial queue with c servers and m ...
Lebedev, Eugene
core
Stationary regime for a queue of the type M|M|c|c + m with constant retrial rate
, 2020 Розглядається двовимірний марковський процес {X(t), t≥0}, фазовий простір якого являє собою решітку в напівсмузі S(X) = {0,1,…, c +m}×Z₊. Процес {X(t), t≥0} описує обслуговування вимог у багатоканальній системі з повторними викликами та інтенсивністю ...
Лебєдєв, Є.О. +1 more
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How AI‐Generated Feedback Hinders or Helps Learning: A Heterogeneous TNA Study of Learning Dynamics
Journal of Computer Assisted Learning, Volume 42, Issue 4, August 2026.ABSTRACT Background Despite growing integration of generative AI in educational settings, little is known about whether and to what extent AI‐generated real‐time feedback can support first‐grade students in solving multimodal mathematical tasks. Objectives Our study aims to examine student–AI feedback dynamics from a process‐oriented perspective ...
Sonsoles López‐Pernas +2 more
wiley +1 more source
Journal of Advanced Nursing, Volume 82, Issue 6, Page 6602-6621, June 2026.ABSTRACT Aim To develop an in‐depth understanding of peoples' perceptions and experiences of decision‐making and reasons why they declined the opportunity of a kidney transplant. Design The Theory of Planned Behaviour informed the qualitative interpretative phenomenological analysis. Methods Semi‐structured interviews were conducted between August 2022
Emma Jones +3 more
wiley +1 more source
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source