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S. Alyami

3 papers hereh-index 313.1k citations110 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • q-bio.QM2
  • cs.CR1

identity via Semantic Scholar / OpenAlex

most citedPredicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

82 citations · 92 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CR2024★ 3 cited

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin +4

Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors a…

q-bio.QM2020★ 7 cited

Discovering novel cancer bio-markers in acquired lapatinib resistance using Bayesian methods

AKM Azad, Salem Alyami

Genes/Proteins do not work alone within our body, rather as a group they perform certain activities indicated as pathways. Signalling transduction pathways (STPs) are some of the i…

q-bio.QM2020★ 82 cited

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

Sakifa Aktar, Md. Martuza Ahamad, Md. Rashed-Al-Mahfuz +9

Introduction: For COVID-19 patients accurate prediction of disease severity and mortality risk would greatly improve care delivery and resource allocation. There are many patient-r…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.