10 papers
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…
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…