Research
Discover my latest research projects that I've collaborated with esteemed colleagues and institutions
- PUBLISHED
- SEMARAK ILMU SDN BHD
Malaysian Sign Language Real-Time Tutorial using CNN Algorithm
This research aims to develop a real-time Malaysian Sign Language (MSL) tutorial system using Convolutional Neural Networks (CNN) algorithm. The system is designed to provide immediate feedback to users based on their sign language skills.
- PUBLISHED
- BRAC University
Optimizing American Sign Language Recognition with Binarized Neural Networks - A Comparative Study with Traditional Models
This undergraduate thesis compares the performance of Binarized Neural Networks (BNNs) against traditional models in the context of American Sign Language (ASL) recognition. The results suggest that BNNs are competitive with traditional models while requiring less computational resources.
- ONGOING PUBLICATION
- Copernicus Publications
HOLOSIE - A System Model for Assessing Carbon Emissions and Balance in Agricultural Systems
HOLOSIE is a system model for assessing carbon emissions and balance in agricultural systems that simulates the carbon cycle and fluxes in agroecosystems. The model is designed to evaluate the impacts of different management practices, such as crop rotation, fertilization, and irrigation, on the carbon balance of agroecosystems.
- ONGOING PUBLICATION
An Optimized Deep-Learning Based Pipeline for Recognition of Sign Language from Low-Resolution Thermal Imagery
This paper presents an optimized deep learning-based pipeline for recognizing sign language from low-resolution thermal imagery, demonstrating improved performance using Binarized Neural Networks (BNNs) and DenseNet121.