14 citations · 14 across the 15 of their papers we have counts for
16 papers
CA20108 COST Action: A Methodology for Developing FAIR Micrometeorological Networks
Branislava Lalic, Josef Eitzinger, Stevan Savić 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…
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…
Query Based Construction of Chronic Disease Datasets
Vuong M. Ngo, Geetika Sood, Patricia Kearney +3
The RECONNECT project addresses the fragmentation of Ireland's public healthcare systems, aiming to enhance service planning and delivery for chronic disease management. By integra…
Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics
Dinh Viet Cuong, Branislava Lalić, Mina Petrić +2
Physics informed neural networks have been gaining popularity due to their unique ability to incorporate physics laws into data-driven models, ensuring that the predictions are not…
A Framework for Spatio-Temporal Graph Analytics In Field Sports
Valerio Antonini, Michael Scriney, Alessandra Mileo +1
The global sports analytics industry has a market value of USD 3.78 billion in 2023. The increase of wearables such as GPS sensors has provided analysts with large fine-grained dat…
Graph-Based Optimisation of Network Expansion in a Dockless Bike Sharing System
Mark Roantree, Niamh Murphi, Dinh Viet Cuong +1
Bike-sharing systems (BSSs) are deployed in over a thousand cities worldwide and play an important role in many urban transportation systems. BSSs alleviate congestion, reduce poll…
Exploring the Trie of Rules: a fast data structure for the representation of association rules
Mikhail Kudriavtsev, Marija Bezbradica, Andrew McCarren
Association rule mining techniques can generate a large volume of sequential data when implemented on transactional databases. Extracting insights from a large set of association r…
Constructing a Searchable Knowledge Repository for FAIR Climate Data
Mark Roantree, Branislava Lalic, Stevan Savic +2
The development of a knowledge repository for climate science data is a multidisciplinary effort between the domain experts (climate scientists), data engineers whos skills include…
Managing Large Dataset Gaps in Urban Air Quality Prediction: DCU-Insight-AQ at MediaEval 2022
Dinh Viet Cuong, Phuc H. Le-Khac, Adam Stapleton +3
Calculating an Air Quality Index (AQI) typically uses data streams from air quality sensors deployed at fixed locations and the calculation is a real time process. If one or a numb…
A Framework for Constructing Machine Learning Models with Feature Set Optimisation for Evapotranspiration Partitioning
Adam Stapleton, Elke Eichelmann, Mark Roantree
A deeper understanding of the drivers of evapotranspiration and the modelling of its constituent parts (evaporation and transpiration) could be of significant importance to the mon…