Results 151 to 160 of about 672 (207)

Embedded Machine Learning System for Muscle Patterns Detection in a Patient with Shoulder Disarticulation. [PDF]

Sensors (Basel)
Guzmán-Quezada E, Mancilla-Jiménez C, Rosas-Agraz F, Romo-Vázquez R, Vélez-Pérez H.   +4 more
europepmc   +1 more source

Blended learning in nursing pharmacology: elevating cognitive skills, engagement and academic outcomes. [PDF]

Front Pharmacol
Arien-Zakay H.
europepmc   +1 more source

Implementation of Time-Averaged Restraints with UNRES Coarse-Grained Model of Polypeptide Chains. [PDF]

J Chem Theory Comput
Co NT, Czaplewski C, Lubecka EA, Liwo A.
europepmc   +1 more source

Different type of pay later facility for green product with selling price dependent demand using grey wolf optimizer. [PDF]

Heliyon
Alrasheedi AF.
europepmc   +1 more source

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Approximations of retrial queue with limited number of retrials

Computers and Operations Research, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dug Hee Moon, Yang Woo Shin
exaly   +4 more sources

On the distribution of the number of retrials

Applied Mathematical Modelling, 2007
This work was supported by the project MTM2005-01248.We consider queuing systems where customers are not allowed to queue, instead of that they make repeated attempts, or retrials, in order to enter service after some time.
M J López-Herrero, J R Artalejo
exaly   +2 more sources

Multiclass Retrial Systems with Constant Retrial Rates

2021
In a loss queueing system, a customer facing a busy server upon arrival (a blocked customer) leaves the system forever without waiting for service. However, in many applications, the blocked customers leaving the system may retry to enter service after some random time period.
Evsey Morozov, Bart Steyaert
openaire   +1 more source

On the Conditional Probability of a Successful Retrial in Retrial Queues

INFOR: Information Systems and Operational Research, 2011
Abstract Customer retrials are very common phenomena in industrial engineering and business management. The number of retrials required before receiving a success is an important measure for evaluating system performance. Focusing on the M/M/1 and M/M/2 retrial queues, we study the conditional probability of a successful retrial given that all previous
Bin Liu, Jinting Wang, Yiqiang Q. Zhao
openaire   +1 more source

Stability Analysis of a Multi-class Retrial Queue with General Retrials and Classical Retrial Policy

2021 28th Conference of Open Innovations Association (FRUCT), 2021
We deal with a single server multi-class retrial model, feed by Poisson input. The system is considered under classical retrial policy, while inter-retrial times are class dependent and generally distributed. Such systems have various applications like multi-access protocols or cellular mobile networks, where blocked messages are sent again after some ...
openaire   +1 more source

A Finite Source Retrial Queue: Number of Retrials

Communications in Statistics - Theory and Methods, 2013
We consider a single-server queuing system with a finite number of sources, where customers are not allowed to queue; instead of that, they make repeated attempts, or retrials, in order to enter service after some time. This queuing system and its variants are widely used to model disk memory systems, star-like local area networks, and other ...
exaly   +2 more sources