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Poornima Mahadevappa, Redhwan Al-amri, Gamal Alkawsi, Ammar Ahmed Alkahtani, Mohammed Fahad Alghenaim and Mohammed Alsamman
Edge data analytics refers to processing near data sources at the edge of the network to reduce delays in data transmission and, consequently, enable real-time interactions. However, data analytics at the edge introduces numerous security risks that can ...
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Aristeidis Karras, Christos Karras, Konstantinos C. Giotopoulos, Dimitrios Tsolis, Konstantinos Oikonomou and Spyros Sioutas
Federated learning (FL) has emerged as a promising technique for preserving user privacy and ensuring data security in distributed machine learning contexts, particularly in edge intelligence and edge caching applications. Recognizing the prevalent chall...
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Zonglei Lyu and Jia Luo
Airport apron carries a lot of preparations for flight operation, and the advancement of its various tasks is of great significance to the flight operation. In order to build a more intelligent and easy-to-deploy airport apron operation analysis guarante...
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Shou-Cih Chen and Chung-Cheng Chiu
The edge detection algorithm is the cornerstone of image processing; a good edge detection result can further extract the required information through rich texture information and achieve object detection, segmentation, and identification. To obtain a ri...
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Juyong Lee, Jeong-Weon Kim and Jihoon Lee
The Multi-Access Edge Computing (MEC) paradigm provides a promising solution to solve the resource-insufficiency problem in user mobile devices by offloading computation-intensive and delay-sensitive computing services to nearby edge nodes. However, ther...
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Wenbin Li, Hakim Hacid, Ebtesam Almazrouei and Merouane Debbah
The union of Edge Computing (EC) and Artificial Intelligence (AI) has brought forward the Edge AI concept to provide intelligent solutions close to the end-user environment, for privacy preservation, low latency to real-time performance, and resource opt...
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Anderson Carvalho, Daniel Riordan and Joseph Walsh
This study presents a newly developed edge computing platform designed to enhance connectivity between edge devices and the cloud in the agricultural sector. Addressing the challenge of synchronizing a central database across 850 remote farm locations in...
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Vincenzo Barbuto, Claudio Savaglio, Min Chen and Giancarlo Fortino
The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the development and provision of next-generation Internet of Things (IoT) services...
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Praveen Kumar Donta, Ilir Murturi, Victor Casamayor Pujol, Boris Sedlak and Schahram Dustdar
Computing paradigms have evolved significantly in recent decades, moving from large room-sized resources (processors and memory) to incredibly small computing nodes. Recently, the power of computing has attracted almost all current application fields. Cu...
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Ruipeng Zhang, Yanxiang Feng, Yikang Yang and Xiaoling Li
By enabling a satellite network with edge computing capabilities, satellite edge computing(SEC) provides users with a full range of computing service. In this paper, we construct a multi-objective optimization model for task offloading with data-dependen...
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Qi Deng and Feng Zeng
In big cities, there are more and more parking lots and charging piles for electric vehicles, and the resources of parking and charging vehicles can be aggregated to provide strong computing power for vehicular edge computing (VEC). In this paper, we pro...
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Geming Xia, Chaodong Yu and Jian Chen
With the development of 5G and artificial intelligence, the security of Cloud-Edge-End Collaboration (CEEC) networks becomes an increasingly prominent issue due to the complexity of the environment, real-time variability and diversity of edge devices in ...
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Salahadin Seid Musa, Marco Zennaro, Mulugeta Libsie and Ermanno Pietrosemoli
Recently the Internet of Vehicles (IoV) has become a promising research area in the field of the Internet of Things (IoT), which enables vehicles to communicate and exchange real-time information with each other, as well as with infrastructure, people, a...
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Joakim Aalstad Alslie, Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Håvard Dagenborg Johansen, Pål Halvorsen, Michael Alexander Riegler and Dag Johansen
Video monitoring and surveillance of commercial fisheries in world oceans has been proposed by the governing bodies of several nations as a response to crimes such as overfishing. Traditional video monitoring systems may not be suitable due to limitation...
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Aluizio Rocha Neto, Thiago P. Silva, Thais Batista, Flávia C. Delicato, Paulo F. Pires and Frederico Lopes
In smart city scenarios, the huge proliferation of monitoring cameras scattered in public spaces has posed many challenges to network and processing infrastructure. A few dozen cameras are enough to saturate the city?s backbone. In addition, most smart c...
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Xixiang Wang and Jiafu Wan
The development of multi-variety, mixed-flow manufacturing environments is hampered by a low degree of automation in information and empirical parameters? reuse among similar processing technologies. This paper proposes a mechanism for knowledge sharing ...
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David Communier, Ruxandra Mihaela Botez and Tony Wong
This paper presents the design and wind tunnel testing of a morphing camber system and an estimation of performances on an unmanned aerial vehicle. The morphing camber system is a combination of two subsystems: the morphing trailing edge and the morphing...
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Abdullah Aziz, Olov Schelén and Ulf Bodin
The Industrial Internet of Things (IIoT) has the potential to improve the production and business processes by enabling the extraction of valuable information from industrial processes. The mining industry, however, is rather traditional and somewhat slo...
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Wenming Zhang, Yiwen Zhang, Qilin Wu and Kai Peng
In mobile edge computing, a set of edge servers is geographically deployed near the mobile users such that accessible computing capacities and services can be provided to users with low latency. Due to user?s mobility, one fundamental and critical proble...
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Åke Olof Arvidsson,Lars Westberg
Pág. 59 - 65
We consider bottlenecks of TCP throughput in scenarioswith edge clouds and 5G cellular networks. By numericalexamples from measurements in real networks, we show thatedge clouds indeed improve throughput but that several, nonnegligiblebottlenecks remain....
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