On fast-ion transport induced by edge localized modes by Haotian Chen, Wei Chen

“…Fast ions in a tokamak device exhibit a notable acceleration phenomenon during edge localized modes (ELMs). Presented here is an analytical analysis of the phase space transport of fast ions induced by ELMs. …”
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Data-intensive service deployment based on edge computing by Yongmei GAO, Guanjie CHENG

“…The demand is getting higher and higher for data processing due to big data volume, thus, data-intensive service shave emerged. …”
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Data-intensive service deployment based on edge computing by Yongmei GAO, Guanjie CHENG

“…The demand is getting higher and higher for data processing due to big data volume, thus, data-intensive service shave emerged. …”
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A survey of UAV-based edge intelligent computing by Chao DONG, Yun SHEN, Yuben QU

“…Edge intelligent computing refers to the offloading of computationally intensive tasks generated by user nodes to edge servers with stronger computing capabilities for processing.Unmanned aerial vehicle (UAV)-based edge intelligent computing combines intelligent drone platforms on this basis and utilizes them with the advantages of strong mobility and easy deployment,it can provide edge computing services for ground user equipment more quickly and flexibly.At the same time,drones can also be used as user nodes to off load their computationally intensive tasks to the ground edge server for execution.Aiming at two different scenarios of UAV as a user node or an edge server,the current research on edge intelligent computing based on UAV is classified and summarized according to different optimization goals such as minimizing energy consumption,minimizing delay and maximizing utility,and the next research direction is considered and prospected.…”
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Accelerating machine learning at the edge with approximate computing on FPGAs by Luis Gerardo León-Vega, Eduardo Salazar-Villalobos, Jorge Castro-Godínez

“… Performing inference of complex machine learning (ML) algorithms at the edge is becoming important to unlink the system functionality from the cloud. …”
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Understanding Edge Computing: Engineering Evolution With Artificial Intelligence by Jun-Ho Huh, Yeong-Seok Seo

“…The key to the explosion of the Internet of Things and the ability to collect, analyze, and provide big data in the cloud is edge computing, which is a new computing paradigm in which data is processed from edges. …”
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Key Technologies of Edge Computing Gateway and Its Application by LI Wenhao, CHEN Zhongsheng

“…It is able to deploy data computing tasks to run on local devices, and upload the real-time, short-cycle data processed by edge computing to the cloud platform using Ethernet or wireless communication. …”
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Maximizing edge connectivity in graph partitioning using hotspots by Isam A. Alobaidi, Hiba G. Fareed, Jennifer L. Leopold, Andrea E. Smit

“…The latter problem may be complicated by the existence of edges between vertices in a graph that have been assigned to different processors. …”
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Critical Relaxation in the Quantum Yang–Lee Edge Singularity by Yue-Mei Sun, Xinyu Wang, Liang-Jun Zhai

“…We study the relaxation dynamics near the critical points of the Yang–Lee edge singularities (YLESs) in the quantum Ising chain in an imaginary longitudinal field with a polarized initial state. …”
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Edge Metric Dimension of Some Classes of Toeplitz Networks by Dalal Alrowaili, Zohaib Zahid, Muhammad Ahsan, Sohail Zafar, Imran Siddique

“…Toeplitz networks are used as interconnection networks due to their smaller diameter, symmetry, simpler routing, high connectivity, and reliability. The edge metric dimension of a network is recently introduced, and its applications can be seen in several areas including robot navigation, intelligent systems, network designing, and image processing. …”
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Edge Cloud Resource Scheduling with Deep Reinforcement Learning by Y. Feng, M. Li, J. Li, Y. Yu

“…Designing optimal scheduling algorithms for task allocation in edge cloud clusters presents significant challenges due to the constantly changing workloads and service requests in edge cloud data center environments. …”
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Satellite Image Inpainting With Edge-Conditional Expectation Attention by Dazhi Zhou, Yanjun Chen, Yuhong Zhang, Jing Niu

“…To address these limitations, we propose a deep learning approach based on an edge-conditional expectation attention module, which conditions the attention mechanism on edge information to enhance the model's focus on high-frequency edge details. …”
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Measuring Erlang-Based Scalability and Fault Tolerance on the Edge by Daniel Ferenczi, Gergely Ruda, Melinda Tóth

“…Embedded systems in IoT are expected to be run by reliable, resource-efficient software. Devices on the edge are typically required to communicate with central nodes, and in some setups with each other, constituting a distributed system. …”
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The Edge Connectivity of Expanded k-Ary n-Cubes by Shiying Wang, Mujiangshan Wang

“…Mass data processing and complex problem solving have higher and higher demands for performance of multiprocessor systems. …”
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Edge Intelligence in Enhancing Last-Mile Delivery Logistics by Joao Reis

“…Recent advancements in Edge AI or Edge Intelligence (EI) offer promising solutions to these challenges. …”
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Crowd counting at the edge using weighted knowledge distillation by Muhammad Asif Khan, Hamid Menouar, Ridha Hamila, Adnan Abu-Dayya

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Review of the Application of UAV Edge Computing in Fire Rescue by Hongqiang Sun, Rui Xu, Jianguo Luo, Han Cheng

“…In fire rescue scenarios, the rapid increase in the amount of data collected and transmitted by sensors poses significant challenges to traditional methods of data storage and computing. Sensor-data processing utilizing UAV edge computing technology is emerging as a research hotspot in this field and aims to address the challenges of data preprocessing and feature analysis during fire emergency rescue. …”
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Non-Redundant Feature Extraction in Mobile Edge Computing by Xiaojun Chen, Qi Wang, Chuntao Ding

“…The goal of this paper is to reduce the amount of data uploaded by IoT devices to the cloud/edge server by removing redundant vectors of the feature extractor, thereby reducing the data transmission time and the time it takes for the cloud/edge server to process features, and improving image recognition accuracy. …”
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The future of diagnostics: cutting-edge advances in healthcare technology by Ashok Kumar Sah, Darla Srinivasa Rao, Anass M Abbas, M Chandrasekar, Mohamed Ahmed Mohamed Adam, Ajab Singh Choudhary, Ranjay Kumar Choudhary, Rabab H. Elshaikh, Pranav Kumar Prabhakar, Syrsulu Myrzagulova, Rohit Rathore, Asaad M. Babker, Devendra Prasad, Shagun Agarwal

“…This review looks at cutting-edge diagnostic tool advancements, how they're being integrated into the drug development workflow, and how they could improve patient outcomes and lower healthcare costs. …”
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Meeting at the Edges: Spaces, Places and Grassroots Governance Activism in Delhi by Martin Webb

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