8 papers
Applying Time Series Deep Learning Models to Forecast the Growth of Perennial Ryegrass in Ireland
Oluwadurotimi Onibonoje, Vuong M. Ngo, Andrew McCarre +3
Grasslands, constituting the world's second-largest terrestrial carbon sink, play a crucial role in biodiversity and the regulation of the carbon cycle. Currently, the Irish dairy…
An Enhanced Dual Transformer Contrastive Network for Multimodal Sentiment Analysis
Phuong Q. Dao, Mark Roantree, Vuong M. Ngo
Multimodal Sentiment Analysis (MSA) seeks to understand human emotions by jointly analyzing data from multiple modalities typically text and images offering a richer and more accur…
Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction
Vuong M. Ngo, Tran Quang Vinh, Patricia Kearney +1
Diabetes is a chronic metabolic disease characterized by elevated blood glucose levels, leading to complications like heart disease, kidney failure, and nerve damage. Accurate stat…
Developing a Dyslexia Indicator Using Eye Tracking
Kevin Cogan, Vuong M. Ngo, Mark Roantree
Dyslexia, affecting an estimated 10% to 20% of the global population, significantly impairs learning capabilities, highlighting the need for innovative and accessible diagnostic me…
A Graph Based Raman Spectral Processing Technique for Exosome Classification
Vuong M. Ngo, Edward Bolger, Stan Goodwin +3
Exosomes are small vesicles crucial for cell signaling and disease biomarkers. Due to their complexity, an "omics" approach is preferable to individual biomarkers. While Raman spec…
Modelling Mosquito Population Dynamics using PINN-derived Empirical Parameters
Branislava Lalic, Dinh Viet Cuong, Mina Petric +3
Vector-borne diseases continue to pose a significant health threat globally with more than 3 billion people at risk each year. Despite some limitations, mechanistic dynamic models…