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Cited by 160Digital Transformation in IndustryIoT and Edge/Fog ComputingRobotics and Automated Systems

iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing

Hu, Long, Miao, Yiming, Wu, Gaoxiang, Hassan, Mohammad Mehedi, Humar, Iztok·2019·Future Generation Computer Systems
DOI 10.1016/j.future.2018.08.006
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Crossref · 10.1016/j.future.2018.08.006

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  • In intelligent factories, edge computing is conducive to expand the computation resources, network bandwidth, and storage capacity of the cloud to the IoT edge, as well as realizing resource scheduling and data processing during manufacturing and production.

    “In intelligent factories, edge computing is conducive to expand the computation resources, the network bandwidth, and the storage capacity of the cloud to the IoT edge, as well as realizing the resource scheduling and data processing during manufacturing and production [114].”

    From Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (2020) · cites this paper as [114]

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Authors
Hu, L., Miao, Y., Wu, G., Hassan, M. M., & Humar, I.
Affiliations
  • Huazhong University of Science and Technology (CN)
  • King Saud University (SA)
  • University of Ljubljana (SI)
Corresponding author
  • Miao, Yiming
  • Hassan, Mohammad Mehedi
ORCID
Venue
Future Generation Computer Systems
Publisher
Elsevier BV
Published
2019-01
Volume
90
Pages
569-577
ISSN
0167-739X (ISSN-L)
DOI
10.1016/j.future.2018.08.006
OpenAlex
W2887933082
Cited by
160
References
0
Citations by year
2026: 6 · 2025: 10 · 2024: 20 · 2023: 23 · 2022: 31 · 2021: 24 · 2020: 31 · 2019: 13 · 2018: 2
FWCI
14.46
Type
journal article
Language
en
Open access
closed
Licence
Locations
Future Generation Computer Systems (publishedVersion)
Funders
Deanship of Scientific Research, King Saud University
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
Keywords
edge computing, emotion recognition, Internet of Things, load balancing, chip assembly, production efficiency, intelligent production line

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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