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Scalable AI for Edge Computing
AI empowers machines to mimic human intelligence, while edge computing brings computational power closer to the data source, reducing latency and...
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Edge AI Patterns
This paper comprehensively explores a spectrum of AI patterns tailored for edge computing, including regular, branched, circular, serial, concurrent,...
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Towards explainability for AI-based edge wireless signal automatic modulation classification
With the development of artificial intelligence technology and edge computing technology, deep learning-based automatic modulation classification...
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AI-Driven Task Scheduling Strategy with Blockchain Integration for Edge Computing
In recent times, edge computing has arisen as a highly promising paradigm aimed at facilitating resource-intensive Internet of Things (IoT)...
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AI-empowered mobile edge computing: inducing balanced federated learning strategy over edge for balanced data and optimized computation cost
In Mobile Edge Computing, the framework of federated learning can enable collaborative learning models across edge nodes, without necessitating the...
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AI/ML on Edge
This chapter covers the details of implementing AI/ML approaches on edge computing environments. Before introducing the four key technical components...
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Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G
Pushing artificial intelligence (AI) from central cloud to network edge has reached board consensus in both industry and academia for materializing...
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Edge AI cosmos blockchain distributed network for precise ablh detection
The detection of the vertical profiles of atmospheric variables or aerosols is a vital component in the accurate calculation of the atmospheric...
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SECAI – Sustainable Heating through Edge-Cloud-based AI Systems
Approximately 18% of CO2 emissions in Germany are caused by the heating, cooling and hot water supply of buildings, with more than 75% of households...
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Real-Time AI in Social Edge
In previous chapters, we have presented several edge computing frameworks that address the rationality and heterogeneity challenges in the SEC...
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Edge resource slicing approaches for latency optimization in AI-edge orchestration
Edge service computing is an emerging paradigm for computing, storage, and communication services to optimize edge framework latency and cost based...
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Edge-computing-assisted intelligent processing of AI-generated image content
Artificial intelligence-generated image content (AIGIC) is produced through the extraction of features and patterns from a vast image dataset,...
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Serverless Edge Providers for AI Applications
In present times, cities and industries have the opportunity to improve with emerging paradigms such as Smart Cities and Industry 5.0. The use of new...
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Scalable and custom-precision floating-point hardware convolution core for using in AI edge processors
AI algorithms such as CNNs devices have necessitated the design of lightweight, low-power, and fast hardware in edge processors. In this paper, a...
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BiGSiD: Bionic Gras** with Edge-AI Slip Detection
Object gras** is a crucial task for robots, inspired by nature, where humans can flexibly grasp any object and detect whether it is slip** from...
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Case Study B: AI Agents for the Tactical Edge
This chapter explores military aspects of building and deploying AI Agents for cyber defense. We concentrate on those aspects which are particularly...
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Containerized Wearable Edge AI Inference Framework in Mobile Health Systems
The proliferation of wearable devices and personal smartphones has promoted smart mobile health (MH) technologies. The MH applications and services...
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HRNET: AI-on-Edge for Mask Detection and Social Distancing Calculation
The purpose of the paper is to provide innovative emerging technology framework for community to combat epidemic situations. The paper proposes a...
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Edge Intelligence From Theory to Practice
This graduate-level textbook is ideally suited for lecturing the most relevant topics of Edge Computing and its ties to Artificial Intelligence (AI)...
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A secure and flexible edge computing scheme for AI-driven industrial IoT
AI-driven edge computing is a development trend of the Industrial Internet of Things (IIoT). However, most existing solutions ignore the limitations...
