A network differentiation service method using DA-VNE algorithm
International Journal of Cognitive Computing in EngineeringTo address the issue of limited network resources being unable to provide efficient differentiated service, a virtual network mapping algorithm based on delay awareness has been proposed, along with an intelligent network traffic classification and ...
Lei Li
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Parameter Estimation of the Nonlinear Muskingum Flood-Routing Model Using The new dragonfly algorithm [PDF]
مهندسی عمران شریف, 2021 Flood routing is one of the most complex problems investigated in hydrologic engineering and it can help design engineers to recognize the impacts of riverine projects. Among the different flood routing methods, the Muskingum model as the best hydrologic
S. Khalifeh +2 more
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Single Seed Near-Infrared Hyperspectral Imaging for Classification of Perennial Ryegrass Seed
Sensors, 2023 The detection of beneficial microbes living within perennial ryegrass seed causing no apparent defects is challenging, even with the most sensitive and conventional methods, such as DNA genotyping.
Priyanka Reddy +4 more
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Combined Economic Emission Dispatch in A Grid-Connected Microgrid Using an Improved Mayfly Algorithm [PDF]
Journal of Applied Research in Electrical Engineering, 2023 The Combined Economic Emission Dispatch (CEED) is an important consideration in every power system. In this paper, a modified Mayfly Algorithm named Modified Individual Experience Mayfly Algorithm (MIE-MA) is used to solve the CEED optimization problem ...
Nicholas Prah II +2 more
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Correction Method of Three-Axis Magnetic Sensor Based on DA–LM
Metals, 2022 The fluxgate magnetometer has the advantages of having a small volume and low power consumption and being light weight and is commonly used to detect weak magnetic targets, including ferrous metals, unexploded bombs (UXOs), and underground corrosion ...
Li Yang +7 more
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Medical Augmentation (Med-Aug) for Optimal Data Augmentation in Medical Deep Learning Networks
Sensors, 2021 Deep learning (DL) algorithms have become an increasingly popular choice for image classification and segmentation tasks; however, their range of applications can be limited.
Justin Lo +3 more
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Entropy, 2021 The dragonfly algorithm (DA) is a new intelligent algorithm based on the theory of dragonfly foraging and evading predators. DA exhibits excellent performance in solving multimodal continuous functions and engineering problems.
Lin Wang, Ronghua Shi, Jian Dong
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Efficient localisation approach for WSNs using hybrid DA–FA algorithm [PDF]
IET Communications, 2020 Localisation has become a major attraction of research in recent years in the field of wireless sensor networks (WSNs). It is required for various applications like monitoring of objects placed in indoors and outdoors environments. The main requirement in localisation is to assign a location to each node, since multiple sensor nodes in WSN are used to ...
Prabhjot Singh, Nitin Mittal
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Accelerating volcanic ash data assimilation using a mask-state algorithm based on an ensemble Kalman filter: a case study with the LOTOS-EUROS model (version 1.10) [PDF]
Geoscientific Model Development, 2017 In this study, we investigate a strategy to accelerate the data assimilation (DA) algorithm. Based on evaluations of the computational time, the analysis step of the assimilation turns out to be the most expensive part.
G. Fu +7 more
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Photovoltaic Global Maximum Power Tracking Based on Improved Dragonfly Algorithm
Zhongguo dianli, 2022 A multi-peak phenomenon can be observed on the power-voltage (P-U) characteristic curve of a photovoltaic (PV) array under partially shaded conditions (PSCs).
Fei XUE, Xin MA, Bei TIAN, Hui WU
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