4 citations · 11 across the 23 of their papers we have counts for
24 papers
TriSAR: Task Coordination and Collision Avoidance for Aerial Robot Teams in Disaster Response
Aditya Anil Kapile, Pedro Machado, Isibor Kennedy Ihianle
Multi-Unmanned Aerial Vehicle (UAV) disaster-response systems require coordinated task assignment and local trajectory control, yet the individual and combined contributions of the…
From Thermal Preference Prediction to Adaptive Thermal Intervention: A Reinforcement Learning Approach Using Physiological and Environmental Sensing
Isibor Kennedy Ihianle, Emmanuel Manu, Ehsan Asnaashari +4
Personalised thermal comfort is essential for occupant wellbeing and for the development of more responsive building-control strategies, yet conventional Heating, Ventilation, and…
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…
EmotionAI: A Privacy-Preserving Computational Intelligence Pipeline for Speech-Emotion-Grounded Conversational Analysis
Wai Laam Mak, Isibor Kennedy Ihianle, Pedro Machado
Reviewing recorded interviews for affective cues such as composure and agitation is slow and subjective, and cloud services that could automate the task require sensitive audio to…
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…
Sex and age determination in European lobsters using AI-Enhanced bioacoustics
Feliciano Pedro Francisco Domingos, Isibor Kennedy Ihianle, Omprakash Kaiwartya +5
Monitoring aquatic species, especially elusive ones like lobsters, presents challenges. This study focuses on Homarus gammarus (European lobster), a key species for fisheries and a…
Privacy-Preserving Spiking Neural Networks: A Deep Dive into Encryption Parameter Optimisation
Mahitha Pulivathi, Ana Fontes Rodrigues, Isibor Kennedy Ihianle +3
Deep learning is widely applied to modern problems through neural networks, but the growing computational and energy demands of these models have driven interest in more efficient…
SteganoSNN: SNN-Based Audio-in-Image Steganography with Encryption
Biswajit Kumar Sahoo, Pedro Machado, Isibor Kennedy Ihianle +2
Secure data hiding remains a fundamental challenge in digital communication, requiring a careful balance between computational efficiency and perceptual transparency. The balance b…
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…
Enhanced Online Grooming Detection Employing Context Determination and Message-Level Analysis
Jake Street, Isibor Ihianle, Funminiyi Olajide +1
Online Grooming (OG) is a prevalent threat facing predominately children online, with groomers using deceptive methods to prey on the vulnerability of children on social media/mess…
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…
SmartAntenna: Enhancing Wireless Range with Autonomous Orientation
Michael Swann, Pedro Machado, Isibor Kennedy Ihianle +3
The SmartAntenna proposes a novel approach to extend wireless communication, focusing on autonomous orientation to extend range and optimize performance. Through meticulous evaluat…
WeedScout: Real-Time Autonomous blackgrass Classification and Mapping using dedicated hardware
Matthew Gazzard, Helen Hicks, Isibor Kennedy Ihianle +3
Blackgrass (Alopecurus myosuroides) is a competitive weed that has wide-ranging impacts on food security by reducing crop yields and increasing cultivation costs. In addition to th…
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…
Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques
Saminder Dhesi, Laura Fontes, Pedro Machado +3
Deep learning constitutes a pivotal component within the realm of machine learning, offering remarkable capabilities in tasks ranging from image recognition to natural language pro…
Dynamic Training of Liquid State Machines
Pavithra Koralalage, Ireoluwa Fakeye, Pedro Machado +5
Spiking Neural Networks (SNNs) emerged as a promising solution in the field of Artificial Neural Networks (ANNs), attracting the attention of researchers due to their ability to mi…
Secure Video Streaming Using Dedicated Hardware
Nicholas Murray-Hill, Laura Fontes, Pedro Machado +1
Purpose: The purpose of this article is to present a system that enhances the security, efficiency, and reconfigurability of an Internet-of-Things (IoT) system used for surveillanc…
Taguchi based Design of Sequential Convolution Neural Network for Classification of Defective Fasteners
Manjeet Kaur, Krishan Kumar Chauhan, Tanya Aggarwal +5
Fasteners play a critical role in securing various parts of machinery. Deformations such as dents, cracks, and scratches on the surface of fasteners are caused by material properti…
Deep Learning approach for Classifying Trusses and Runners of Strawberries
Jakub Pomykala, Francisco de Lemos, Isibor Kennedy Ihianle +2
The use of artificial intelligence in the agricultural sector has been growing at a rapid rate to automate farming activities. Emergent farming technologies focus on mapping and cl…
Towards Achieving Thermal Comfort through Physiologically Cloud based controlled HVAC System
Isibor Kennedy Ihianle, Pedro Machado, Kayode Owa +1
Thermal comfort in shared spaces is essential to occupants well-being and necessary in the management of energy consumption. Existing thermal control systems for indoor shared spac…
Real-Time Gesture Recognition with Virtual Glove Markers
Finlay McKinnon, David Ada Adama, Pedro Machado +1
Due to the universal non-verbal natural communication approach that allows for effective communication between humans, gesture recognition technology has been steadily developing o…
Estimating the Power Consumption of Heterogeneous Devices when performing AI Inference
Pedro Machado, Ivica Matic, Francisco de Lemos +2
Modern-day life is driven by electronic devices connected to the internet. The emerging research field of the Internet-of-Things (IoT) has become popular, just as there has been a…