Optimizing IoMT Security: Performance Trade-Offs Between Neural Network Architectural Design, Dimensionality Reduction, and Class Imbalance Handling

Heyfa Ammar, Asma Cherif

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DOI: 10.20944/preprints202510.1779.v1
Published: 2025-10-22
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Publisher: MDPI AG
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Cite this work

BibTeX

@article{allodium:10.20944/preprints202510.1779.v1,
  title = {Optimizing IoMT Security: Performance Trade-Offs Between Neural Network Architectural Design, Dimensionality Reduction, and Class Imbalance Handling},
  author = {Heyfa Ammar and Asma Cherif},
  year = {2025},
  doi = {10.20944/preprints202510.1779.v1},
  url = {https://doi.org/10.20944/preprints202510.1779.v1}
}

RIS

TY  - JOUR
TI  - Optimizing IoMT Security: Performance Trade-Offs Between Neural Network Architectural Design, Dimensionality Reduction, and Class Imbalance Handling
AU  - Heyfa Ammar
AU  - Asma Cherif
PY  - 2025
DO  - 10.20944/preprints202510.1779.v1
UR  - https://doi.org/10.20944/preprints202510.1779.v1
ER  -

APA

Ammar, H., & Cherif, A. (2025). Optimizing IoMT Security: Performance Trade-Offs Between Neural Network Architectural Design, Dimensionality Reduction, and Class Imbalance Handling. https://doi.org/10.20944/preprints202510.1779.v1

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crossref · retrieved 2026-09-25T18:22:06.558Z