RESEARCHER PROFILE

Mohammed M AL-Ani

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M

University of Al Maarif

Artificial Intelligence in HealthcareAI in cancer detectionArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingAdvanced Neural Network Applications

Mohammed M AL-Ani works in Artificial Intelligence in Healthcare, AI in cancer detection, Artificial Intelligence in Healthcare and Education, Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications. Recorded institutional associations include University of Al Maarif, National University of Malaysia.

27Publications
295Citations
9H-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. A Short Review on Supervised Machine Learning and Deep Learning Techniques in Computer Vision

    2024 · 67 citations

  2. Detection of Autism Spectrum Disorder Using A 1-Dimensional Convolutional Neural Network

    2023 · 33 citations

  3. Enhancing Student'sPerformance Classification Using Ensemble Modeling

    2023 · 29 citations

  4. A Deep Learning Algorithm for Lung Cancer Detection Using EfficientNet-B3

    2023 · 27 citations

  5. An Effective Deep Learning Model for Surface-Enhanced Raman Spectroscopy Detection Using Artificial Neural Network

    2023 · 23 citations

  6. Development of integrative data intelligence models for thermo-economic performances prediction of hybrid organic rankine plants

    2024 · 16 citations

  7. Deep learning framework for hourly air pollutants forecasting using encoding cyclical features across multiple monitoring sites in Beijing

    2025 · 12 citations

  8. A Hybrid Method of 1D-CNN and Machine Learning Algorithms for Breast Cancer Detection

    2024 · 12 citations

  9. An Ensemble Model for Detection of Adverse Drug Reactions

    2024 · 12 citations

  10. Intelligent System for Student Performance Prediction Using Machine Learning

    2024 · 8 citations

  11. Detecting Routing Protocol Low Power and Lossy Network Attacks Using Machine Learning Techniques

    2024 · 8 citations

  12. A Birds Species Detection Utilizing an Effective Hybrid Model

    2024 · 8 citations

  13. A Brief Review of Big Data in Healthcare: Challenges and Issues, Recent Developments, and Future Directions

    2024 · 8 citations

  14. An Effective Deep Learning Approach for the Estimation of Proton Energy by Using Artificial Neural Network

    2024 · 7 citations

  15. A Review of Using Chatgpt for Scientific Manuscript Writing

    2024 · 7 citations

  16. Ensemble Model for Prostate Cancer Detection Using MRI Images

    2023 · 6 citations

  17. An Effective Hybrid Model for Skin Cancer Detection Using Transfer Learning

    2023 · 6 citations

  18. Electricity load and price forecasting in Spain: A hybrid deep learning framework leveraging temporal and seasonal dynamics

    2025 · 4 citations

  19. Residual hybrid deep learning for high-accuracy wind forecasting in coastal and tropical climates

    2026 · 1 citations

  20. Identification of Partial Shading Patterns in Photovoltaic Arrays Using RF Algorithm with Integrated Data

    2025 · 1 citations

  21. Deep Learning Approaches for Intrusion Detection System Using Multi-Model Architectures for Network Security

    2026 · 0 citations

  22. Face Recognition Using a Hybrid InceptionV3-Based Simple Neural Network and Autoencoder

    2026 · 0 citations

  23. Enhancing Prostate Cancer Detection Using a Hybrid Voting Classifier on MRI Scans

    2025 · 0 citations

  24. Automated fake news detection system using ensemble model

    2025 · 0 citations

  25. A Review on Adverse Drug Reaction Detection Techniques

    2024 · 0 citations

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