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Francis Jesmar Montalbo
Francis Jesmar Montalbo
Other namesFrancis Jesmar P. Montalbo, Francis Jesmar Perez Montalbo, F. J. P. Montalbo
Associate Professor & Researcher, Batangas State University
Verified email at g.batstate-u.edu.ph - Homepage
Title
Cited by
Cited by
Year
A computer-aided diagnosis of brain tumors using a fine-tuned YOLO-based model with transfer learning
FJP Montalbo
KSII Transactions on Internet and Information Systems (TIIS) 14 (12), 4816-4834, 2020
592020
Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion
FJP Montalbo
Biomedical Signal Processing and Control 68, 102583, 2021
472021
Empirical analysis of a fine-tuned deep convolutional model in classifying and detecting malaria parasites from blood smears
FJP Montalbo, AS Alon
KSII Transactions on Internet and Information Systems (TIIS) 15 (1), 147-165, 2021
472021
Classification of fish species with augmented data using deep convolutional neural network
FJP Montalbo, AA Hernandez
2019 IEEE 9th International Conference on System Engineering and Technology …, 2019
332019
An Optimized Classification Model for Coffea Liberica Disease using Deep Convolutional Neural Networks
FJP Montalbo, AA Hernandez
2020 16th IEEE International Colloquium on Signal Processing & Its …, 2020
282020
Truncating Fined-Tuned Vision-Based Models to Lightweight Deployable Diagnostic Tools for SARS-CoV-2 Infected Chest X-Rays and CT-Scans
FJP Montalbo
Multimedia Tools and Applications, 2022
172022
An IoT smart lighting system for university classrooms
FJ Montalbo, E Enriquez
2020 International Symposium on Educational Technology (ISET), 3-7, 2020
172020
Classifying Barako coffee leaf diseases using deep convolutional models
FJP Montalbo, AA Hernandez
International Journal of Advances in Intelligent Informatics 6 (2), 197-209, 2020
172020
Diagnosing Gastrointestinal Diseases from Endoscopy Images through a Multi-Fused CNN with Auxiliary Layers, Alpha Dropouts, and a Fusion Residual Block
FJP Montalbo
Biomedical Signal Processing and Control, 2022
162022
Comparative analysis of ensemble learning methods in classifying network intrusions
FJP Montalbo, ED Festijo
2019 IEEE 9th International Conference on System Engineering and Technology …, 2019
162019
Truncating a Densely Connected Convolutional Neural Network with Partial Layer Freezing and Feature Fusion for Diagnosing COVID-19 from Chest X-Rays
FJP Montalbo
MethodsX, 2021
122021
MobileNet SSDv2 inference approach of smoke hazard detection and alert system: a smoke-induced simulated home-environment
AS Alon, JL Dioses Jr, RA Diamante, RM Dellosa, FJP Montalbo
International Journal 9 (1.3), 2020
102020
Classification of stenography using convolutional neural networks and canny edge detection algorithm
FJP Montalbo, DPY Barfeh
2019 International Conference on Computational Intelligence and Knowledge …, 2019
102019
An overview of remote monitoring methods in biodiversity conservation
RG Kerry, FJP Montalbo, R Das, S Patra, GP Mahapatra, GK Maurya, ...
Environmental Science and Pollution Research 29 (53), 80179-80221, 2022
92022
Various transmission codes for the control of bit error rate in both optical wired and wireless communication channels
ANZ Rashed, SKH Ahammad, MG Daher, SH Zyoud, V Sorathiya, ...
Journal of Optical Communications, 2022
92022
Automated diagnosis of diverse coffee leaf images through a stage-wise aggregated triple deep convolutional neural network
FJP Montalbo
Machine Vision and Applications 33 (1), 19, 2022
92022
Non return to zero line coding with suppressed carrier in FSO transceiver systems under light rain conditions
ANZ Rashed, MG Daher, SKH Ahammad, FJ P. Montalbo, V Sorathiya, ...
Journal of Optical Communications, 2022
82022
Fusing compressed deep ConvNets with a self-normalizing residual block and alpha dropout for a cost-efficient classification and diagnosis of gastrointestinal tract diseases
FJP Montalbo
MethodsX 9, 101925, 2022
32022
Automating mosquito taxonomy by compressing and enhancing a feature fused EfficientNet with knowledge distillation and a novel residual skip block
FJP Montalbo
Methodsx 10, 102072, 2023
22023
Machine-based mosquito taxonomy with a lightweight network-fused efficient dual ConvNet with residual learning and Knowledge Distillation
FJP Montalbo
Applied Soft Computing 133, 109913, 2023
22023
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Articles 1–20