3 citations · 5 across the 10 of their papers we have counts for
10 papers
An AI-Based Adaptive Learning Platform for Multilingual and Low-Resource Educational Contexts: A Case Study on Nigeria
Everistus Ugochukwu Nwogo, Isibor Kennedy Ihianle, Pedro Machado +5
Educational platforms in under-resourced and multilingual contexts, such as Nigeria, often struggle with limited personalisation, inadequate language support, and weak curriculum i…
LessonBench-V1: A Benchmark Dataset for Evaluating AI Lesson Generation Agents
Ravidu Suien Rammuni Silva, Ahmad Lotfi, Isibor Kennedy Ihianle +2
Large Language Model (LLM) based AI educational content generation systems are increasingly being developed, yet no standardised benchmark exists to systematically evaluate them. T…
Training and Agentic Inference Strategies for LLM-based Manim Animation Generation
Ravidu Suien Rammuni Silva, Ahmad Lotfi, Isibor Kennedy Ihianle +2
Generating programmatic animation using libraries such as Manim presents unique challenges for Large Language Models (LLMs), requiring spatial reasoning, temporal sequencing, and f…
Bearded Dragon Activity Recognition Pipeline: An AI-Based Approach to Behavioural Monitoring
Arsen Yermukan, Pedro Machado, Feliciano Domingos +4
Traditional monitoring of bearded dragon (Pogona Viticeps) behaviour is time-consuming and prone to errors. This project introduces an automated system for real-time video analysis…
ArtBrain: An Explainable end-to-end Toolkit for Classification and Attribution of AI-Generated Art and Style
Ravidu Suien Rammuni Silva, Ahmad Lotfi, Isibor Kennedy Ihianle +2
Recently, the quality of artworks generated using Artificial Intelligence (AI) has increased significantly, resulting in growing difficulties in detecting synthetic artworks. Howev…
What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational Linguistics
Jordan J. Bird
The integration of new literature into the English curriculum remains a challenge since educators often lack scalable tools to rapidly evaluate readability and adapt texts for dive…
Enhancing Pollinator Conservation towards Agriculture 4.0: Monitoring of Bees through Object Recognition
Ajay John Alex, Chloe M. Barnes, Pedro Machado +4
In an era of rapid climate change and its adverse effects on food production, technological intervention to monitor pollinator conservation is of paramount importance for environme…
A Deep Learning Method for Classification of Biophilic Artworks
Purna Kar, Jordan J. Bird, Yangang Xing +4
Biophilia is an innate love for living things and nature itself that has been associated with a positive impact on mental health and well-being. This study explores the application…
Cognitive Edge Device (CED) for Real-Time Environmental Monitoring in Aquatic Ecosystems
Dennis Monari, Farhad Fassihi Tash, Jordan J. Bird +6
Invasive signal crayfish have a detrimental impact on ecosystems. They spread the fungal-type crayfish plague disease (Aphanomyces astaci) that is lethal to the native white clawed…
FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision
Ravidu Suien Rammuni Silva, Jordan J. Bird
Explainability is a vital aspect of modern AI for real-world impact and usability. The main objective of this paper is to emphasise the need to understand the predictions of Comput…