Search Results - "Simulation modelling practice and theory"

Deep recurrent neural network for IoT intrusion detection system by Almiani, Muder, AbuGhazleh, Alia, Al-Rahayfeh, Amer, Atiewi, Saleh, Razaque, Abdul

“…As a results of the large scale development of the Internet of Things (IoT), cloud computing capabilities including networking, data storage, management, and…”
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An E2E simulator for 5G NR networks by Patriciello, Natale, Lagen, Sandra, Bojovic, Biljana, Giupponi, Lorenza

“…As the specification of the new 5G NR standard proceeds inside 3GPP, the availability of a versatile, full-stack, End-To-End (E2E), and open source simulator…”
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Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion by Huang, Min, Liu, Zhen, Tao, Yang

“…Using multi-source sensing data based on the Internet of Things (IoT) with artificial intelligence and big data processing technology to achieve predictive…”
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Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review by Tordecilla, Rafael D., Juan, Angel A., Montoya-Torres, Jairo R., Quintero-Araujo, Carlos L., Panadero, Javier

“…The design of supply chain networks (SCNs) aims at determining the number, location, and capacity of production facilities, as well as the allocation of…”
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Metamodel-based simulation optimization: A systematic literature review by Soares do Amaral, João Victor, Montevechi, José Arnaldo Barra, Miranda, Rafael de Carvalho, Junior, Wilson Trigueiro de Sousa

“…•Systematic Literature Review about Metamodel-Based Simulation Optimization (MBSO).•The integration of new machine learning tools could improve metamodels.•The…”
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Agri-food supply chains with stochastic demands: A multi-period inventory routing problem with perishable products by Onggo, Bhakti Stephan, Panadero, Javier, Corlu, Canan G., Juan, Angel A.

“…This paper considers an agri-food supply chain with a single fresh food supplier, who owns a central warehouse that serves several retail centers. Retail…”
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Metaheuristics for scheduling of heterogeneous tasks in cloud computing environments: Analysis, performance evaluation, and future directions by Singh, Harvinder, Tyagi, Sanjay, Kumar, Pardeep, Gill, Sukhpal Singh, Buyya, Rajkumar

“…In cloud computing environments, when a client wants to access any resources, hardware components, or application services, he needs to get a subscription for…”
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Cloud-to-BIM-to-FEM: Structural simulation with accurate historic BIM from laser scans by Barazzetti, Luigi, Banfi, Fabrizio, Brumana, Raffaella, Gusmeroli, Gaia, Previtali, Mattia, Schiantarelli, Giuseppe

“…The complexity of historic constructions, with irregular geometry, inhomogeneous materials, variable morphology, alterations and damages, poses numerous…”
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Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules by Mekki, H., Mellit, A., Salhi, H.

“…In this paper, a fault detection method for photovoltaic module under partially shaded conditions is introduced. It consists to use an artificial neural…”
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Medical image segmentation method based on multi-feature interaction and fusion over cloud computing by He, Xianyu, Qi, Guanqiu, Zhu, Zhiqin, Li, Yuanyuan, Cong, Baisen, Bai, Litao

“…Medical image segmentation is a crucial task in computer-aided diagnosis. While deep learning has significantly improved this field, relying solely on local…”
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The role of simulation and optimization methods in supply chain risk management: Performance and review standpoints by Oliveira, J.B., Jin, M., Lima, R.S., Kobza, J.E., Montevechi, J.A.B.

“…•An overview on supply chain risks and simulation and optimization tools.•Improving the Supply Chain Risk Management procedures.•Integration among SCRM phases,…”
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A comparison of machine learning techniques for customer churn prediction by Vafeiadis, T., Diamantaras, K.I., Sarigiannidis, G., Chatzisavvas, K.Ch

“…We present a comparative study on the most popular machine learning methods applied to the challenging problem of customer churning prediction in the…”
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Fault-diagnosis for reciprocating compressors using big data and machine learning by Qi, Guanqiu, Zhu, Zhiqin, Erqinhu, Ke, Chen, Yinong, Chai, Yi, Sun, Jian

“…Reciprocating compressors are widely used in petroleum industry. A small fault in reciprocating compressor may cause serious issues in operation. Traditional…”
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Hybrid recommendation system combined content-based filtering and collaborative prediction using artificial neural network by Afoudi, Yassine, Lazaar, Mohamed, Al Achhab, Mohammed

“…Recommendation systems are information filtering tools that present items to users based on their preferences and behavior, for example, suggestions about…”
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Numerical and experimental investigation of tool geometry effect on residual stresses in orthogonal machining of Inconel 718 by Liu, Yang, Xu, Dongdong, Agmell, Mathias, Saoubi, Rachid M', Ahadi, Aylin, Stahl, Jan-Eric, Zhou, Jinming

“…Residual stress has become more important than ever with the increasing performance requirement of components especially for those applied in safety-critical…”
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A new machine learning method for identifying Alzheimer's disease by Liu, Lin, Zhao, Shenghui, Chen, Haibao, Wang, Aiguo

“…Most of the studies on Alzheimer's disease (AD) have been carried out using medical images. However, the acquisition of medical images data is difficult. The…”
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MobFogSim: Simulation of mobility and migration for fog computing by Puliafito, Carlo, Gonçalves, Diogo M., Lopes, Márcio M., Martins, Leonardo L., Madeira, Edmundo, Mingozzi, Enzo, Rana, Omer, Bittencourt, Luiz F.

“…Fog computing is an extension of the cloud towards the network edge that brings resources and services of computing in closer proximity to end users. This…”
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Application specific drone simulators: Recent advances and challenges by Mairaj, Aakif, Baba, Asif I., Javaid, Ahmad Y.

“…Over the past two decades, Unmanned Aerial Vehicles (UAVs), more commonly known as drones, have gained a lot of attention, and are rapidly becoming ubiquitous…”
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Machining simulation of Ti6Al4V using coupled Eulerian-Lagrangian approach and a constitutive model considering the state of stress by Xu, Xiang, Outeiro, José, Zhang, Jun, Xu, Binbin, Zhao, Wanhua, Astakhov, Viktor

“…•Model of High Speed Machining (HSM) of Ti6Al4V titanium alloy based on CEL approach•Constitutive model of Ti6Al4V titanium alloy including the state of…”
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Multi-objective fuzzy approach to scheduling and offloading workflow tasks in Fog–Cloud computing by Mokni, Marwa, Yassa, Sonia, Hajlaoui, Jalel Eddine, Omri, Mohamed Nazih, Chelouah, Rachid

“…Fog–Cloud computing environments have become attractive focus areas for scheduling workflow automation of different processes in different domains. The…”
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