Survey on edge computing technology for autonomous driving by Pin LYU, Jia XU, Taoshen LI, Wenbiao XU

“…Edge computing plays an extremely important role in the environment perception and data processing of autonomous driving.Autonomous driving vehicles can expand their perception scope by obtaining environmental information from edge nodes, and can also deal with the problem of insufficient computing resources by offloading tasks to edge nodes.Compared with cloud computing, edge computing avoids high latency caused by long-distance data transmission, and provides autonomous driving vehicles with faster responses, and relieves the traffic load of the backbone network.Firstly, the edge computing-based cooperative perception and task offloading technologies for autonomous vehicles were introduced firstly, and related challenging issues were also proposed.Then the state-of-the-art of cooperative perception and task offloading technologies were analyzed and summarized.Finally, the problems need to be further studied in this field were discussed.…”
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Opticool: Cutting-edge transgenic optical tools. by Kelli D Fenelon, Julia Krause, Theodora Koromila

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Assurance in Advanced 5G Edge Continuum by Filippo Berto, Claudio A. Ardagna, Massimo Banzi, Marco Anisetti

“…The implementation of distributed applications is more frequently achieved through the configuration of service-oriented workflows, which are then deployed within the Edge-Cloud Continuum. This approach facilitates the support of distributed processing pipelines. …”
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Fortified-Edge 2.0: Advanced Machine-Learning-Driven Framework for Secure PUF-Based Authentication in Collaborative Edge Computing by Seema G. Aarella, Venkata P. Yanambaka, Saraju P. Mohanty, Elias Kougianos

“…This research introduces Fortified-Edge 2.0, a novel authentication framework that addresses critical security and privacy challenges in Physically Unclonable Function (PUF)-based systems for collaborative edge computing (CEC). …”
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Lightweight AI Models in Mineral Processing: Classifying Hydrocyclone Underflow With ResNet-18 and MobileViT-V2 by Tomas Henrique Coelho E Silva, Ricardo Augusto Rabelo Oliveira

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Restoration of Motion Blurred Images Based on Rich Edge Region Extraction Using a Gray-Level Co-Occurrence Matrix by Minghua Zhao, Xin Zhang, Zhenghao Shi, Peng Li, Bing Li

Subjects: “…Image processing…”
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Diabetic neuropathy: cutting-edge research and future directions by Yang Yang, Bing Zhao, Yuanzhe Wang, Hongli Lan, Xinyu Liu, Yue Hu, Peng Cao

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Technology and equipment for friction stir preweld edge preparation by Y. G. Lyudmirsky, А. N. Soloviev, М. V. Soltovets, R. R. Kotlyshev, I. V. Mironov, А. V. Kramskoy

“…The same setup can be used for the friction stir welding process. To calculate the geometry of the thickened edges and the parameters of the deforming roller depending on the value of the edge settlement, a mathematical model based on the contact problem for elastic (roller) and elastoplastic (blank) bodies with a bilinear hardening law has been developed. …”
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Security, QoS and energy aware optimization of cloud-edge data centers using game theory and homomorphic encryption: Modeling and formal verification by Mbarek Marwan, Abdelkarim Ait Temghart, Said Ouhmi, Mohamed Lazaar

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Multifocus Images Fusion Based On Homogenity and Edges Measures by Baghdad Science Journal

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New algorithms to Enhanced Fused Images from Auto-Focus Images by Heba Kh. Abbas, Anwar H Al-Saleh, Haidar Jawad Mohamad, Ali Abid Al-Zuky

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Research on incentive mechanism for mobile intelligent edge computing by Shuyun LUO, Yuzhou WEN, Weiqiang XU, Shenghong ZHU

“…As a new architecture,mobile edge computing gives edge users stronger capabilities of computing,storage and communication,but it needs reasonable incentives mechanism to motivate edge users to provide resources.In terms of the three typical scenarios of mobile intelligent edge computing:computation offloading,edge caching and data collection,the incentive mechanism in the above scenarios was studied at first,then the core scientific problems were proposed that need to be solved in the incentive mechanism design of mobile intelligent edge computing from three perspectives of service quality,network quality and data quality.Finally,the technical challenges in the process of solving the above problems were analysed deeply and the corresponding feasible solutions were given.…”
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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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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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Crowd counting at the edge using weighted knowledge distillation by Muhammad Asif Khan, Hamid Menouar, Ridha Hamila, Adnan Abu-Dayya

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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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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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Real-time multiple people gait recognition in the edge by Paula Ruiz-Barroso, José María González-Linares, Francisco M. Castro, Nicolás Guil

“…Abstract Deploying deep learning models on edge devices offers advantages in terms of data security and communication latency. …”
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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

“…In addition, the convergence of diagnostics and therapeutics, known as companion diagnostics, has changed the drug development process by allowing for customized treatment selection and monitoring of responses. …”
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System and application of video surrveillance based on edge computing by Sanming PAN, Mingqiang YUAN

“…With the popularization of video surveillance systems and the diversification of their applications,traditional data processing methods using cloud computing to handle all the computations are more and more unsustainable.Edge computing pre-processes video data nearby,and performs well in terms of bandwidth,storage,and latency,but edge-cloud collaboration is still required to improve overall performance.The architecture of edge-cloud collaborative video surveillance system was proposed,then an open edge node design scheme and algorithm training and inferencing ideas were proposed.Finally,taking forest fire prevention and smart poles ＆amp; towers as examples,the application realization and value of edge computing in video surveillance services were illustrated.…”
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