9 papers
CA20108 COST Action: A Methodology for Developing FAIR Micrometeorological Networks
Branislava Lalic, Josef Eitzinger, Stevan SaviÄ Ana Firanj Sremac +2
This article reports the outcomes of the FAIRNESS COST Action (CA20108), a coordinated European initiative aimed at advancing micrometeorological data toward compliance with the FA…
An Efficient Hybrid Deep Learning Approach for Detecting Online Abusive Language
Vuong M. Ngo, Cach N. Dang, Kien V. Nguyen +1
The digital age has expanded social media and online forums, allowing free expression for nearly 45% of the global population. Yet, it has also fueled online harassment, bullying,…
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…
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…
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…