RESEARCHER PROFILE

Rafea Mohammed Almejrab

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College of Computer Technology Benghazi

Advanced Neural Network ApplicationsIoT and Edge/Fog ComputingVideo Surveillance and Tracking MethodsNetwork Security and Intrusion DetectionHandwritten Text Recognition Techniques

Rafea Mohammed Almejrab works in Advanced Neural Network Applications, IoT and Edge/Fog Computing, Video Surveillance and Tracking Methods, Network Security and Intrusion Detection, Handwritten Text Recognition Techniques. Recorded institutional associations include College of Computer Technology Benghazi.

7Publications
10Citations
2H-index

ORCID

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. Applying C atboost Regression Model for Prediction of House Prices

    2022 · 7 citations

  2. A Classification Model For Phishing Detection System Based On Machine Learning Algorithms

    2023 · 2 citations

  3. A Proposed Method for Detecting Network Intrusion Using Deep Learning Approach

    2023 · 1 citations

  4. Deep Feature Selection and AutoML Ensembles for Acute Lymphoblastic Leukemia Cell Classification

    2026 · 0 citations

  5. Beyond FPS: A Critical Review of Temporal Evidence for Real-Time Object Detection in Video Surveillance

    2026 · 0 citations

  6. A Proof-of-Concept Lightweight MediaPipe and ExtraTrees-Based Framework for Potential Suspicious Gaze and Head-Pose Cue Detection Using the Columbia Gaze Dataset

    2026 · 0 citations

  7. Deep Learning vs. Traditional Approaches in Handwriting Recognition: A Comprehensive Performance Analysis

    2026 · 0 citations

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