RESEARCHER PROFILE

Hardi Sabah Talabani

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Charmo University

Network Security and Intrusion DetectionArtificial Intelligence in HealthcareData Mining and Machine Learning ApplicationsIoT and Edge/Fog ComputingAdvanced Malware Detection Techniques

Hardi Sabah Talabani works in Network Security and Intrusion Detection, Artificial Intelligence in Healthcare, Data Mining and Machine Learning Applications, IoT and Edge/Fog Computing, Advanced Malware Detection Techniques. Recorded institutional associations include Charmo University.

11Publications
91Citations
6H-index

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Bitcoin Ransomware Detection Employing Rule-Based Algorithms

    2022 · 21 citations
  2. Performance Comparison of SVM Kernel Types on Child Autism Disease Database

    2018 · 21 citations
  3. Impact of Various Kernels on Support Vector Machine Classification Performance for Treating Wart Disease

    2018 · 12 citations
  4. DNS over HTTPS Tunneling Detection System Based on Selected Features via Ant Colony Optimization

    2025 · 10 citations
  5. Comparative Study of Supervised Machine Learning Algorithms on Thoracic Surgery Patients based on Ranker Feature Algorithms

    2021 · 9 citations
  6. The Fifteen Puzzle—A New Approach through Hybridizing Three Heuristics Methods

    2023 · 8 citations
  7. A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing

    2024 · 3 citations
  8. Obfuscated Malware Memory Detection Employing Lazy Instance Based Learner Algorithm Based On Manhattan Distance Function

    2024 · 3 citations
  9. Machine learning-based cloud computing and IOT: A review

    2024 · 2 citations
  10. The current landscape of digital forensics employing machine learning approaches: A Review

    2024 · 2 citations
  11. An Effective Hierarchical Anomaly Based Intrusion Detection System for IoT Using Ant Colony Optimization Based Feature Selection

    2026 · 0 citations

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