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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3210584
Abstract: Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss…
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Keywords:
intelligence;
many faces;
faces edge;
edge intelligence ... See more keywords
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3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3244099
Abstract: An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. The transmission of data from IoT devices to the edge nodes leads…
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Keywords:
allocation;
energy;
iot devices;
edge intelligence ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3592729
Abstract: In emergency healthcare services, accurate and timely decision-making is critical for the patient’s life and death. The emergence of edge intelligence enables these service goals achievable for Internet of Medical Things (IoMT) compared with cloud-centric…
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Keywords:
core;
edge;
network;
edge intelligence ... See more keywords
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Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3027980
Abstract: As an important driving factor of emerging Internet-of-Things (IoT) applications, machine learning algorithms are currently facing the challenge of how to “clean” data noise, that is introduced during the training process (e.g., asynchronous execution and…
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Keywords:
edge intelligence;
data cleaning;
federated data;
privacy ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3137984
Abstract: Recent developments in the Internet of Vehicles (IoV) enable interconnected vehicles to support ubiquitous services. Various emerging service applications are promising to increase the Quality of Experience (QoE) of users. On-board computation tasks generated by…
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Keywords:
intelligence assisted;
resource management;
intelligence;
resource ... See more keywords
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Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3294400
Abstract: With the advancement of urban rail transits (URTs), the demand for artificial intelligence (AI)-based URTs services grows exponentially. Edge intelligence (EI) leverages computing resources on the network edge to provide real-time intelligent services in close…
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Keywords:
edge intelligence;
urban rail;
service;
service provision ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3452128
Abstract: As distributed edge intelligence (DEI) advances within the Internet of Electric Vehicles (IoEV), the deployment of mobile charging stations (MCSs) offers a solution to the uneven distribution of fixed charging stations (FCSs), enhancing energy access…
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Keywords:
hybrid charging;
electric vehicles;
edge intelligence;
internet electric ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3491854
Abstract: The Internet of Vehicles offers a comprehensive perception of environment, which enhance transportation efficiency. To handle the large amount of collected data, distributed edge intelligence is a promising paradigm in which the edge server share…
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Keywords:
edge;
task offloading;
internet vehicles;
edge intelligence ... See more keywords
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2
Published in 2021 at "Proceedings of the IEEE"
DOI: 10.1109/jproc.2021.3119950
Abstract: Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis proximity to where data are captured based on artificial intelligence. Edge intelligence aims at enhancing data processing…
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Keywords:
intelligence;
edge intelligence;
intelligence edge;
edge ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3502254
Abstract: Machine learning (ML) is increasingly exploited in a wide range of application areas to analyze data streams from large-scale sensor networks, train predictive models, and perform inference. The cloud-edge intelligence (CEI) computing paradigm integrates cloud…
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Keywords:
sensor networks;
edge;
cloud edge;
sensor ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3055795
Abstract: Many deep learning methods have been proposed to classify moving targets from seismic signals in recent years. However, the existing deep models are all designed based on the “end-cloud” framework, in which real-time data processing…
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Keywords:
classification;
convolutional neural;
target classification;
seismic measurements ... See more keywords