18 citations · 38 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…