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Refinado por: Base de dados/Biblioteca: Elsevier ScienceDirect Journals remover Nome da Publicação: Simulation Modelling Practice And Theory remover
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An E2E simulator for 5G NR networks
An E2E simulator for 5G NR networks
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An E2E simulator for 5G NR networks

Patriciello, Natale ; Lagen, Sandra ; Bojovic, Biljana ; Giupponi, Lorenza

Simulation modelling practice and theory, 2019-11, Vol.96, p.101933, Article 101933 [Periódico revisado por pares]

Elsevier B.V

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Deep recurrent neural network for IoT intrusion detection system
Deep recurrent neural network for IoT intrusion detection system
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Deep recurrent neural network for IoT intrusion detection system

Almiani, Muder ; AbuGhazleh, Alia ; Al-Rahayfeh, Amer ; Atiewi, Saleh ; Razaque, Abdul

Simulation modelling practice and theory, 2020-05, Vol.101, p.102031, Article 102031 [Periódico revisado por pares]

Elsevier B.V

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3
Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion
Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion
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Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion

Huang, Min ; Liu, Zhen ; Tao, Yang

Simulation modelling practice and theory, 2020-07, Vol.102, p.101981, Article 101981 [Periódico revisado por pares]

Elsevier B.V

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4
How to pick a mobile robot simulator: A quantitative comparison of CoppeliaSim, Gazebo, MORSE and Webots with a focus on accuracy of motion
How to pick a mobile robot simulator: A quantitative comparison of CoppeliaSim, Gazebo, MORSE and Webots with a focus on accuracy of motion
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How to pick a mobile robot simulator: A quantitative comparison of CoppeliaSim, Gazebo, MORSE and Webots with a focus on accuracy of motion

Farley, Andrew ; Wang, Jie ; Marshall, Joshua A.

Simulation modelling practice and theory, 2022-11, Vol.120, p.102629, Article 102629 [Periódico revisado por pares]

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5
Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review
Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review
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Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review

Tordecilla, Rafael D. ; Juan, Angel A. ; Montoya-Torres, Jairo R. ; Quintero-Araujo, Carlos L. ; Panadero, Javier

Simulation modelling practice and theory, 2021-01, Vol.106, p.102166-102166, Article 102166 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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6
Investigating spatiotemporal dynamics and synchrony of influenza epidemics in Australia: An agent-based modelling approach
Investigating spatiotemporal dynamics and synchrony of influenza epidemics in Australia: An agent-based modelling approach
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Investigating spatiotemporal dynamics and synchrony of influenza epidemics in Australia: An agent-based modelling approach

Cliff, Oliver M. ; Harding, Nathan ; Piraveenan, Mahendra ; Erten, E. Yagmur ; Gambhir, Manoj ; Prokopenko, Mikhail

Simulation modelling practice and theory, 2018-09, Vol.87, p.412-431 [Periódico revisado por pares]

Elsevier B.V

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7
Metamodel-based simulation optimization: A systematic literature review
Metamodel-based simulation optimization: A systematic literature review
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Metamodel-based simulation optimization: A systematic literature review

Soares do Amaral, João Victor ; Montevechi, José Arnaldo Barra ; Miranda, Rafael de Carvalho ; Junior, Wilson Trigueiro de Sousa

Simulation modelling practice and theory, 2022-01, Vol.114, p.102403, Article 102403 [Periódico revisado por pares]

Elsevier B.V

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8
Optimum checkpoints for programs with loops
Optimum checkpoints for programs with loops
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Optimum checkpoints for programs with loops

Siavvas, Miltiadis ; Gelenbe, Erol

Simulation modelling practice and theory, 2019-12, Vol.97, p.101951, Article 101951 [Periódico revisado por pares]

Elsevier B.V

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9
Reinforcement learning-assisted autoscaling mechanisms for serverless computing platforms
Reinforcement learning-assisted autoscaling mechanisms for serverless computing platforms
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Reinforcement learning-assisted autoscaling mechanisms for serverless computing platforms

Zafeiropoulos, Anastasios ; Fotopoulou, Eleni ; Filinis, Nikos ; Papavassiliou, Symeon

Simulation modelling practice and theory, 2022-04, Vol.116, p.102461, Article 102461 [Periódico revisado por pares]

Elsevier B.V

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10
IoUT: Modelling and simulation of Edge-Drone-based Software-Defined smart Internet of Underwater Things
IoUT: Modelling and simulation of Edge-Drone-based Software-Defined smart Internet of Underwater Things
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IoUT: Modelling and simulation of Edge-Drone-based Software-Defined smart Internet of Underwater Things

Bhattacharjya, Kamalika ; De, Debashis

Simulation modelling practice and theory, 2021-05, Vol.109, p.102304, Article 102304 [Periódico revisado por pares]

Elsevier B.V

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