Edge and Cloud Computing in Smart Cities by Maria Trigka, Elias Dritsas

“…Cloud computing provides extensive computational capabilities and centralized data storage, whereas edge computing ensures localized processing to mitigate network congestion and latency. …”
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Minimizing Delay and Power Consumption at the Edge by Erol Gelenbe

“…These results are obtained with a mathematical model of a multiple-server edge system that is managed by a task distribution platform, whose equations are derived and solved using methods from stochastic processes. …”
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Internet of vehicles empowered by edge intelligence by Yan ZHANG, Ke ZHANG, Jiayu CAO

“…By pushing computing,storage and other resources to the proximity of end devices,edge intelligence empowers network edge entities powerful information processing and content delivery capabilities,while providing efficient and low-latency service support for the development and implementation of novel mobile services.Thus,edge intelligence is profoundly changing the functions of mobile applications and the utilization patterns of network resources.The application of edge intelligence technology in vehicular networks was studied firstly,and the core scientific problems that need to be solved in designing an efficient vehicular edge system was presented.Then,the technical challenges faced in solving these problems were analyzed and the corresponding solution strategies were given.…”
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A survey on edge computing offloading by Youkang ZHU, Guangxue YUE, Xiaohui YANG, Jiansheng LIU

“…Edge computing integrate the computing,storage and other resources on the edge of the network into a unified user service platform.According to the principle of nearest service,the network edge node task request is timely and correspondingly processed.Computational migration is a key issue in edge computing due to limited edge node capabilities,resources,bandwidth,and energy.The causes,evolution and development trends of mobile edge computing were reviewed from the distributed computing,pervasive computing,cloud computing to edge computing as the main line.The characteristics of computing migration at each stage were compared and analyzed,and the classical models were reviewed.The latest research progress and application fields of edge computing were focused on,mobile edge computing models based on energy optimization management were researched and compared.Finally,a time division multiple access based multi-user edge mobile terminal computing migration strategy system for LTE applications was proposed.…”
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On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing Architecture by Niroshinie Fernando, Samir Shrestha, Seng W. Loke, Kevin Lee

“…Edge, fog, and cloud computing provide complementary capabilities to enable distributed processing of IoT data. …”
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Accuracy Improvement of Breast Tumor Detection based on Dimension Reduction in the Spatial and Edge Features and Edge Structure in the Image by Samaneh Sadat Seyed Abolghasemi, Mehran Emadi, Mohsen Karimi

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Edge-Enhanced GCIFFNet: A Multiclass Semantic Segmentation Network Based on Edge Enhancement and Multiscale Attention Mechanism by Long Chen, Zhiyuan Qu, Yao Zhang, Jingyang Liu, Ruwen Wang, Dezheng Zhang

“…Semantic segmentation, as a common task in RSIs processing, confronts numerous challenges, including inaccurate classification, fuzzy boundaries, and other problems. …”
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Automated Edge Detection for Cultural Heritage Conservation: Comparative Evaluation of Classical and Deep Learning Methods on Artworks Affected by Natural Disaster Damage by Laya Targa, Carmen Cano, Álvaro Solbes-García, Sergio Casas, Ester Alba, Cristina Portalés

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Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security by Mateo Mejia-Herrera, Juan Botero-Valencia, José Ortega, Ruber Hernández-García

“…Edge processing is a trend in developing new technologies that leverage Artificial Intelligence (AI) without transmitting large volumes of data to centralized processing services. …”
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EdgeSugarcane: a lightweight high-precision method for real-time sugarcane node detection in edge computing environments by Zhenhui Zheng, Zhenhui Zheng, Zhenhui Zheng, Lijiao Wei, Lijiao Wei, Kangmin Lin, Weihua Huang, Shuo Wang, Dongjie Du, Tao Wu

“…On the NVIDIA Orin NX device, the single-frame inference, pre-processing, and post-processing times are 1.5ms, 60.6ms, and 4.4ms, respectively. …”
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Carpet Back Sizing Quality Assessment by Measuring the Amount of Resin Using Image Processing and Machine Learning Approaches by Mohammad Ehsan Momeni Heravi, Mohammad Hossein Moattar

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Market Equilibrium Based on Cloud-edge Collaboration by Tong Cheng, Haiwang Zhong, Qing Xia

“…The proposed mechanism can encourage rational bids in an incentive-compatible way through the process of dynamic equilibrium while protecting participants' privacy. …”
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Wave propagation along an edge of a solid by Wincenty PAJEWSKI, Marek SZALEWSKI, Paweł KIEŁCZYŃSKI

“…Investigation results of waves propagating along edges of isotropic and anisotropic bodies are presented in this paper. …”
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FREQUENCY ANALYSIS OF VIBRATIONS OF THE ROUND PARACHUTE EDGE by S. V. Zhurin, A. L. Polovnev

“…The article is addressed to the analysis of the videos obtained during flight experiment at the launch of meteo-rocket MMP-06 in order to determine main characteristics of the oscillatory process the edges of the canopy at subsonic speeds at altitudes from 42,2 km to 34.2 km. …”
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A blockchain sharding scheme in edge computing by Jun WANG, Jianwei MA, Jinxi LUO

“…The low security and poor privacy of the data in edge computing restrict the development of edge computing.Block chains can provide security for data in edge computing using their own tamper resistance, while protecting privacy by use of traceability.But the bottleneck of blockchain's scalability has become a barrier to their application in the field of edge computing.To solve the problem that blockchain can not meet the needs of a large number of nodes to process data at the same time when applied to edge computing, a two-layer sharding scheme was presented, which meets the needs of edge computing scenarios.Geographic location-based partitioning of nodes was implemented using the improved K-means algorithm, and a local blockchain network consensus (LBNC) algorithm was designed based on the idea of delegated proof of stake (DPoS) and practical Byzantine fault tolerance (PBFT).Simulation results show that the proposed scheme has less delay and higher throughput than those of PBFT, and the total throughput increases with the number of shards.…”
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RESOURCES OF COMPETITIVE EDGE ENTERPRISE IN MODERN CONDITIONS by N. Revutska

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Blockchain and Artificial Intelligence for Decentralized Edge Environments by Yuansong Qiao

“…Edge environments typically involve multiple stakeholders and the management of decentralized devices and resources, presenting significant challenges related to the assurance of data security, real-time processing, and efficient coordination [...]…”
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Nonreference Medical Image Edge Map Measure by Karen Panetta, Chen Gao, Sos Agaian, Shahan Nercessian

“…Edge detection is a key step in medical image processing. …”
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An Edge Computing Collaboration Solution for Internet of Vehicles by Vu Khanh Quy, Dang Van Anh, Vi Hoai Nam, Nguyen Minh Quy, Anh-Ngoc Le

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Edge-preserving filter with adaptive gradient optimization by Wanshu Fan, Zhixun Su, Hongyan Wang, Nannan Li, Xuan Wang

“…Hence, image processing attracts a lot of research concerns in last several decades. …”
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