Contact

All Stories

  1. Performance Analysis of Lightweight Vision Transformers and Deep Convolutional Neural Networks in Detecting Brain Tumors in MRI Scans: An Empirical Approach

    Article • October 2023, ACM (Association for Computing Machinery)

    Dr. Francis Perez Montalbo

  2. A machine learning system have learned to perform Mosquito Taxonomy with an insane performance!

    Article • Applied Soft Computing, January 2023, Elsevier

    Dr. Francis Perez Montalbo

  3. A Deep Learning model can now diagnose gastrointestinal diseases with outstanding results!

    Article • Biomedical Signal Processing and Control, July 2022, Elsevier

    Dr. Francis Perez Montalbo

  4. A Lightweight Diagnostic tool for COVID-19 chest X-rays with AI-capability

    Article • Biomedical Signal Processing and Control, July 2021, Elsevier

    Dr. Francis Perez Montalbo

  5. Artificial Intelligence improves the diagnosis of malaria.

    Article • KSII Transactions on Internet and Information Systems, January 2021, Korean Society for Internet Information (KSII)

    Dr. Francis Perez Montalbo

  6. A Novel and Lightweight Deep Learning Method for Detecting COVID-19.

    Article • MethodsX, January 2021, Elsevier

    Dr. Francis Perez Montalbo

  7. Brain tumors can now be automatically detected and localized with Artificial Intelligence!

    Article • KSII Transactions on Internet and Information Systems, December 2020, Korean Society for Internet Information (KSII)

    Dr. Francis Perez Montalbo

  8. An IoT Smart Lighting System for University Classrooms

    Article • August 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Francis Perez Montalbo

  9. Artificial Intelligence can now enhance coffee yield!

    Article • International Journal of Advances in Intelligent Informatics, July 2020, Universitas Ahmad Dahlan, Kampus 3

    Dr. Francis Perez Montalbo

  10. MobileNet SSDv2 Inference Approach of Smoke Hazard Detection and Alert System: A Smoke-Induced Simulated Home-Environment

    Article • International Journal of Advanced Trends in Computer Science and Engineering, June 2020, The World Academy of Research in Science and Engineering

    Dr. Francis Perez Montalbo

  11. An Optimized Classification Model for Coffea Liberica Disease using Deep Convolutional Neural Networks

    Article • February 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Francis Perez Montalbo

  12. Classification of Stenography using Convolutional Neural Networks and Canny Edge Detection Algorithm

    Article • December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Francis Perez Montalbo

  13. Classification of Fish Species with Augmented Data using Deep Convolutional Neural Network

    Article • October 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Francis Perez Montalbo

  14. Comparative Analysis of Ensemble Learning Methods in Classifying Network Intrusions

    Article • October 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. Francis Perez Montalbo