16 citations · 98 across the 30 of their papers we have counts for
32 papers
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…
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…
Brain Tumor Segmentation in MRI Images with 3D U-Net and Contextual Transformer
Thien-Qua T. Nguyen, Hieu-Nghia Nguyen, Thanh-Hieu Bui +2
This research presents an enhanced approach for precise segmentation of brain tumor masses in magnetic resonance imaging (MRI) using an advanced 3D-UNet model combined with a Conte…
Automating Attendance Management in Human Resources: A Design Science Approach Using Computer Vision and Facial Recognition
Bao-Thien Nguyen-Tat, Minh-Quoc Bui, Vuong M. Ngo
Haar Cascade is a cost-effective and user-friendly machine learning-based algorithm for detecting objects in images and videos. Unlike Deep Learning algorithms, which typically req…
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…
Histopathological Imaging Classification of Breast Tissue for Cancer Diagnosis Support Using Deep Learning Models
Tat-Bao-Thien Nguyen, Minh-Vuong Ngo, Van-Phong Nguyen
According to some medical imaging techniques, breast histopathology images called Hematoxylin and Eosin are considered as the gold standard for cancer diagnoses. Based on the idea…
Structural Textile Pattern Recognition and Processing Based on Hypergraphs
Vuong M. Ngo, Sven Helmer, Nhien-An Le-Khac +1
The humanities, like many other areas of society, are currently undergoing major changes in the wake of digital transformation. However, in order to make collection of digitised ma…
Crop Knowledge Discovery Based on Agricultural Big Data Integration
Vuong M. Ngo, M-Tahar Kechadi
Nowadays, the agricultural data can be generated through various sources, such as: Internet of Thing (IoT), sensors, satellites, weather stations, robots, farm equipment, agricultu…
Data Warehouse and Decision Support on Integrated Crop Big Data
V. M. Ngo, N. A. Le-Khac, M. T. Kechadi
In recent years, precision agriculture is becoming very popular. The introduction of modern information and communication technologies for collecting and processing Agricultural da…
Designing and Implementing Data Warehouse for Agricultural Big Data
Vuong M. Ngo, Nhien-An Le-Khac, M-Tahar Kechadi
In recent years, precision agriculture that uses modern information and communication technologies is becoming very popular. Raw and semi-processed agricultural data are usually co…
Using Entity Relations for Opinion Mining of Vietnamese Comments
P. T. Nguyen, L. T. Le, V. M. Ngo +1
In this paper, we propose several novel techniques to extract and mining opinions of Vietnamese reviews of customers about a number of products traded on e-commerce in Vietnam. The…
Machine Learning based English Sentiment Analysis
T. N. T. Tran, L. K. N. Nguyen, V. M. Ngo
Sentiment analysis or opinion mining aims to determine attitudes, judgments and opinions of customers for a product or a service. This is a great system to help manufacturers or se…
Semantic Search using Spreading Activation based on Ontology
Ngo Minh Vuong
Currently, the text document retrieval systems have many challenges in exploring the semantics of queries and documents. Each query implies information which does not appear in the…
Detecting Vietnamese Opinion Spam
T. H. H Duong, T. D. Vu, V. M. Ngo
Recently, Vietnamese Natural Language Processing has been researched by experts in academic and business. However, the existing papers have been focused only on information classif…
A Similarity Measure for Weaving Patterns in Textiles
Sven Helmer, Vuong M. Ngo
We propose a novel approach for measuring the similarity between weaving patterns that can provide similarity-based search functionality for textile archives. We represent textile…
Discovering Latent Information By Spreading Activation Algorithm For Document Retrieval
Vuong M. Ngo
Syntactic search relies on keywords contained in a query to find suitable documents. So, documents that do not contain the keywords but contain information related to the query are…
Opinion Spam Recognition Method for Online Reviews using Ontological Features
L. H. Nguyen, N. T. H. Pham, V. M. Ngo
Nowadays, there are a lot of people using social media opinions to make their decision on buying products or services. Opinion spam detection is a hard problem because fake reviews…
Combining Named Entities with WordNet and Using Query-Oriented Spreading Activation for Semantic Text Search
Vuong M. Ngo, Tru H. Cao, Tuan M. V. Le
Purely keyword-based text search is not satisfactory because named entities and WordNet words are also important elements to define the content of a document or a query in which th…