collaborators

17 papers

cs.AI2026

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…

cs.CV2026

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…

cs.IR2025

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…

cs.AI2025

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…

cs.LG2025

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…

cs.CV2025

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…