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Artificial Intelligence in Networking Research in the Arab World.

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Název: Artificial Intelligence in Networking Research in the Arab World.
Autoři: Shihada, Basem, Abdallah, Mohamed
Zdroj: Communications of the ACM; Oct2025, Vol. 68 Issue 10, p78-82, 5p
Témata: ARTIFICIAL intelligence, MACHINE learning, 5G networks, INTELLIGENT networks, INTERNET of things, RESOURCE allocation, ALGORITHMS
Geografický termín: ARAB countries
Abstrakt: The article surveys recent advancements in networking research across the Arab world, focusing on intelligent wireless connectivity and intelligent secure networking systems. It highlights how regional researchers are applying artificial intelligence and machine learning to enhance 5G and 6G performance, integrate satellite and unmanned aerial vehicle networks for broader coverage, and improve Internet of Things (IoT) traffic management and security. Key innovations include adaptive learning algorithms for dynamic resource allocation, predictive maintenance, and decentralized IoT architectures. The article concludes that while challenges remain in regulation, workforce development, and data availability, these efforts position the region to make significant contributions to global networking and digital transformation.
Databáze: Complementary Index
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  Label: Title
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  Data: Artificial Intelligence in Networking Research in the Arab World.
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  Data: <searchLink fieldCode="AR" term="%22Shihada%2C+Basem%22">Shihada, Basem</searchLink><br /><searchLink fieldCode="AR" term="%22Abdallah%2C+Mohamed%22">Abdallah, Mohamed</searchLink>
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  Data: Communications of the ACM; Oct2025, Vol. 68 Issue 10, p78-82, 5p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22ARTIFICIAL+intelligence%22">ARTIFICIAL intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22MACHINE+learning%22">MACHINE learning</searchLink><br /><searchLink fieldCode="DE" term="%225G+networks%22">5G networks</searchLink><br /><searchLink fieldCode="DE" term="%22INTELLIGENT+networks%22">INTELLIGENT networks</searchLink><br /><searchLink fieldCode="DE" term="%22INTERNET+of+things%22">INTERNET of things</searchLink><br /><searchLink fieldCode="DE" term="%22RESOURCE+allocation%22">RESOURCE allocation</searchLink><br /><searchLink fieldCode="DE" term="%22ALGORITHMS%22">ALGORITHMS</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22ARAB+countries%22">ARAB countries</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The article surveys recent advancements in networking research across the Arab world, focusing on intelligent wireless connectivity and intelligent secure networking systems. It highlights how regional researchers are applying artificial intelligence and machine learning to enhance 5G and 6G performance, integrate satellite and unmanned aerial vehicle networks for broader coverage, and improve Internet of Things (IoT) traffic management and security. Key innovations include adaptive learning algorithms for dynamic resource allocation, predictive maintenance, and decentralized IoT architectures. The article concludes that while challenges remain in regulation, workforce development, and data availability, these efforts position the region to make significant contributions to global networking and digital transformation.
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1145/3736711
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 5
        StartPage: 78
    Subjects:
      – SubjectFull: ARAB countries
        Type: general
      – SubjectFull: ARTIFICIAL intelligence
        Type: general
      – SubjectFull: MACHINE learning
        Type: general
      – SubjectFull: 5G networks
        Type: general
      – SubjectFull: INTELLIGENT networks
        Type: general
      – SubjectFull: INTERNET of things
        Type: general
      – SubjectFull: RESOURCE allocation
        Type: general
      – SubjectFull: ALGORITHMS
        Type: general
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      – TitleFull: Artificial Intelligence in Networking Research in the Arab World.
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          Name:
            NameFull: Shihada, Basem
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            NameFull: Abdallah, Mohamed
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          Dates:
            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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              Value: 68
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              Value: 10
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            – TitleFull: Communications of the ACM
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