Francis Jesmar Montalbo

发表

An IoT Smart Lighting System for University Classrooms

Francis Jesmar Montalbo, Erwin Enriquez, 2020, 2020 International Symposium on Educational Technology (ISET).

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

Francis Jesmar Montalbo, 2022, Multimedia Tools and Applications.

A Computer-Aided Diagnosis of Brain Tumors Using a Fine-Tuned YOLO-based Model with Transfer Learning

Francis Jesmar Montalbo, 2020, KSII Trans. Internet Inf. Syst..

An overview of remote monitoring methods in biodiversity conservation

Francis Jesmar Montalbo, Rout George Kerry, R. C. Jena, 2022, Environmental Science and Pollution Research.

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

Francis Jesmar Montalbo, 2022, Machine Vision and Applications.

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

Francis Jesmar Montalbo, 2022, MethodsX.

Empirical Analysis of a Fine-Tuned Deep Convolutional Model in Classifying and Detecting Malaria Parasites from Blood Smears

Alvin Sarraga Alon, Francis Jesmar Montalbo, Francis Jesmar P. Montalbo, 2021, KSII Trans. Internet Inf. Syst..

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

Alexander A. Hernandez, Francis Jesmar Montalbo, Alexander A. Hernandez, 2020, 2020 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA).

Various transmission codes for the control of bit error rate in both optical wired and wireless communication channels

Francis Jesmar Montalbo, Ahmed Nabih Zaki Rashed, Vishal P. Sorathiya, 2022, Journal of Optical Communications.

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

Francis Jesmar Montalbo, 2022, Machine Vision and Applications.

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

Francis Jesmar Montalbo, 2023, MethodsX.

Machine-based mosquito taxonomy with a lightweight network-fused efficient dual ConvNet with residual learning and Knowledge Distillation

Francis Jesmar Montalbo, Francis Jesmar P. Montalbo, 2022, Appl. Soft Comput..

Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block

Francis Jesmar Montalbo, 2022, Biomed. Signal Process. Control..

Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion

Francis Jesmar Montalbo, 2021, Biomedical Signal Processing and Control.

Truncating a densely connected convolutional neural network with partial layer freezing and feature fusion for diagnosing COVID-19 from chest X-rays

Francis Jesmar Montalbo, 2021, MethodsX.

Classifying Barako coffee leaf diseases using deep convolutional models

Francis Jesmar Montalbo, Alexander A. Hernandez, 2020 .