{
  "abstract": null,
  "abstract_shown": false,
  "affiliations": [
    "Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka 72388, Aljouf, Saudi Arabia",
    "Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka 72388, Aljouf, Saudi Arabia;",
    "Information Systems & Technology Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza 12613, Egypt;"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Madallah Alruwaili"
    },
    {
      "affs": [
        1
      ],
      "name": "Fawaz J. Alruwaili"
    },
    {
      "affs": [
        2
      ],
      "name": "Mahmood Mohamed"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3grk859hpkc1r.bib",
  "cited_by": 0,
  "doi": null,
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13667514/?tool=EBI",
  "id": "3grk859hpkc1r",
  "issns": [
    "1424-8220"
  ],
  "landing_url": "https://europepmc.org/article/PMC/PMC13667514",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13667514/pdf/?tool=EBI",
  "pmcid": "PMC13667514",
  "pmid": null,
  "published": "2026-09-25",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/3grk859hpkc1r.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:41Z",
      "native_id": "PMC:PMC13667514",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13667514"
    }
  ],
  "subjects": [],
  "title": "XGB-AGMoE: A Validation-Adaptive XGBoost-Anchored Granular Mixture-of-Experts Framework for Multi-Class Intrusion Detection in IoMT WiFi–MQTT Traffic",
  "title_text": "XGB-AGMoE: A Validation-Adaptive XGBoost-Anchored Granular Mixture-of-Experts Framework for Multi-Class Intrusion Detection in IoMT WiFi–MQTT Traffic",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:41Z",
  "url": "https://research.draconitic.com/paper/3grk859hpkc1r",
  "venue": "Sensors (Basel, Switzerland)",
  "versions": []
}