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  1. DySARNet: a lightweight self-attention deep learning model for diagnosing dysarthria from speech recordings

    Article • Multimedia Tools and Applications, August 2024, Springer Science + Business Media

    Dr. Francis Jesmar Perez Montalbo

  2. On the optimized fused filament fabrication of polylactic acid using multiresponse central composite design and desirability function algorithm

    Article • Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, April 2024, SAGE Publications

    Dr. Francis Jesmar Perez Montalbo

  3. 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 Jesmar Perez Montalbo

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

    Article • Applied Soft Computing, January 2023, Elsevier

    Dr. Francis Jesmar Perez Montalbo

  5. Automating mosquito taxonomy by compressing and enhancing a feature fused EfficientNet with knowledge distillation and a novel residual skip block

    Article • MethodsX, January 2023, Elsevier

    Dr. Francis Jesmar Perez Montalbo

  6. An overview of remote monitoring methods in biodiversity conservation

    Article • Environmental Science and Pollution Research, October 2022, Springer Science + Business Media

    Dr Kingsley Eghonghon Ukhurebor, Dr. Francis Jesmar Perez Montalbo

  7. RETRACTED ARTICLE: Various transmission codes for the control of bit error rate in both optical wired and wireless communication channels

    Article • Journal of Optical Communications, July 2022, De Gruyter

    Dr. Francis Jesmar Perez Montalbo

  8. RETRACTED ARTICLE: Non return to zero line coding with suppressed carrier in FSO transceiver systems under light rain conditions

    Article • Journal of Optical Communications, July 2022, De Gruyter

    Dr. Francis Jesmar Perez Montalbo

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

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

    Dr. Francis Jesmar Perez Montalbo

  10. Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans

    Article • Multimedia Tools and Applications, March 2022, Springer Science + Business Media

    Dr. Francis Jesmar Perez Montalbo

  11. Automated diagnosis of diverse coffee leaf images through a stage-wise aggregated triple deep convolutional neural network

    Article • Machine Vision and Applications, January 2022, Springer Science + Business Media

    Dr. Francis Jesmar Perez Montalbo

  12. Fusing compressed deep ConvNets with a self-normalizing residual block and alpha dropout for a cost-efficient classification and diagnosis of gastrointestinal tract diseases

    Article • MethodsX, January 2022, Elsevier

    Dr. Francis Jesmar Perez Montalbo

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

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

    Dr. Francis Jesmar Perez Montalbo

  14. 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 Jesmar Perez Montalbo

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

    Article • MethodsX, January 2021, Elsevier

    Dr. Francis Jesmar Perez Montalbo

  16. 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 Jesmar Perez Montalbo

  17. An IoT Smart Lighting System for University Classrooms

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

    Dr. Francis Jesmar Perez Montalbo

  18. Artificial Intelligence can now enhance coffee yield!

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

    Dr. Francis Jesmar Perez Montalbo

  19. 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 Jesmar Perez Montalbo

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

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

    Dr. Francis Jesmar Perez Montalbo

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

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

    Dr. Francis Jesmar Perez Montalbo

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

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

    Dr. Francis Jesmar Perez Montalbo

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

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

    Dr. Francis Jesmar Perez Montalbo