18 citations · 54 across the 18 of their papers we have counts for
19 papers
Semantic Causal-Factor Inference from Aviation Incident Narratives Using A Variational Autoencoder with Cosine-Similarity-Based Reconstruction
AZIIDA NANYONGA1, HASSAN WASSWA, UGUR TURHAN +2
Aviation accident and incident investigations generate extensive unstructured textual information containing evidence relevant to the causes and contributing factors of safety occu…
Advanced modelling and data analytics in aviation
Aziida Nanyonga
The aviation industry characterized by its stringent safety standards has seen a growing need for innovative approaches to enhance safety measures. Despite the vast accumulation of…
Explainable Deep Learning for Pediatric Pneumonia Detection in Chest X-Ray Images
Adil O. Khadidos, Aziida Nanyonga, Alaa O. Khadidos +2
Background: Pneumonia remains a leading cause of morbidity and mortality among children worldwide, emphasizing the need for accurate and efficient diagnostic support tools. Deep le…
Is BERTopic Better than PLSA for Extracting Key Topics in Aviation Safety Reports?
Aziida Nanyonga, Joiner Keith, Turhan Ugur +1
This study compares the effectiveness of BERTopic and Probabilistic Latent Semantic Analysis (PLSA) in extracting meaningful topics from aviation safety reports aiming to enhance t…
Utilizing AI for Aviation Post-Accident Analysis Classification
Aziida Nanyonga, Graham Wild
The volume of textual data available in aviation safety reports presents a challenge for timely and accurate analysis. This paper examines how Artificial Intelligence (AI) and, spe…
Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning
Hassan Wasswa, Aziida Nanyonga, Timothy Lynar
AI models have garnered significant research attention towards predictive task automation. However, a stationary training environment is an underlying assumption for most models an…
IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic
Hassan Wasswa, Timothy Lynar, Aziida Nanyonga +1
Despite the demonstrated effectiveness of transformer models in NLP, and image and video classification, the available tools for extracting features from captured IoT network flow…
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder
Hassan Wasswa, Aziida Nanyonga, Timothy Lynar
The rapid evolution of Internet of Things (IoT) technology has led to a significant increase in the number of IoT devices, applications, and services. This surge in IoT devices, al…
Classification of Operational Records in Aviation Using Deep Learning Approaches
Aziida Nanyonga, Graham Wild
Ensuring safety in the aviation industry is critical, even minor anomalies can lead to severe consequences. This study evaluates the performance of four different models for DP (de…
Phase of Flight Classification in Aviation Safety using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset
Aziida Nanyonga, Hassan Wasswa, Graham Wild
Safety is the main concern in the aviation industry, where even minor operational issues can lead to serious consequences. This study addresses the need for comprehensive aviation…
Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques
Aziida Nanyonga, Hassan Wasswa, Ugur Turhan +2
Aviation safety is a global concern, requiring detailed investigations into incidents to understand contributing factors comprehensively. This study uses the National Transportatio…
Aviation Safety Enhancement via NLP & Deep Learning: Classifying Flight Phases in ATSB Safety Reports
Aziida Nanyonga, Hassan Wasswa, Graham Wild
Aviation safety is paramount, demanding precise analysis of safety occurrences during different flight phases. This study employs Natural Language Processing (NLP) and Deep Learnin…
Natural Language Processing and Deep Learning Models to Classify Phase of Flight in Aviation Safety Occurrences
Aziida Nanyonga, Hassan Wasswa, Oleksandra Molloy +2
The air transport system recognizes the criticality of safety, as even minor anomalies can have severe consequences. Reporting accidents and incidents play a vital role in identify…
Sequential Classification of Aviation Safety Occurrences with Natural Language Processing
Aziida Nanyonga, Hassan Wasswa, Ugur Turhan +2
Safety is a critical aspect of the air transport system given even slight operational anomalies can result in serious consequences. To reduce the chances of aviation safety occurre…
Applications of natural language processing in aviation safety: A review and qualitative analysis
Aziida Nanyonga, Keith Joiner, Ugur Turhan +1
This study explores using Natural Language Processing in aviation safety, focusing on machine learning algorithms to enhance safety measures. There are currently May 2024, 34 Scopu…
Comparative Study of Deep Learning Architectures for Textual Damage Level Classification
Aziida Nanyonga, Hassan Wasswa, Graham Wild
Given the paramount importance of safety in the aviation industry, even minor operational anomalies can have significant consequences. Comprehensive documentation of incidents and…
Analyzing Aviation Safety Narratives with LDA, NMF and PLSA: A Case Study Using Socrata Datasets
Aziida Nanyonga, Graham Wild
This study explores the application of topic modelling techniques Latent Dirichlet Allocation (LDA), Nonnegative Matrix Factorization (NMF), and Probabilistic Latent Semantic Analy…
Comparative Analysis of Topic Modeling Techniques on ATSB Text Narratives Using Natural Language Processing
Aziida Nanyonga, Hassan Wasswa, Ugur Turhan +2
Improvements in aviation safety analysis call for innovative techniques to extract valuable insights from the abundance of textual data available in accident reports. This paper ex…
Topic Modeling Analysis of Aviation Accident Reports: A Comparative Study between LDA and NMF Models
Aziida Nanyonga, Hassan Wasswa, Graham Wild
Aviation safety is paramount in the modern world, with a continuous commitment to reducing accidents and improving safety standards. Central to this endeavor is the analysis of avi…