All Outputs (99)

A reaction-diffusion cellular automata model for mycelium-based engineered living materials evolution (2024)
Presentation / Conference Contribution

Engineered living materials (ELMs) and, more specifically, mycelium-based ELMs have been proposed as a solution to address the escalating societal pressures related to human-induced environmental disruption, scarcity of resources, and the anticipated... Read More about A reaction-diffusion cellular automata model for mycelium-based engineered living materials evolution.

Mycelium-based ELM digital twin implemented in FPGA (2024)
Presentation / Conference Contribution

Engineered Living Materials (ELMs) based on fungal mycelium offer a promising solution to the challenges posed by environmental disruption, resource scarcity, and rising material demands, while also exhibiting interesting computational capabilities.... Read More about Mycelium-based ELM digital twin implemented in FPGA.

Monitoring environmental factors for optimal health and welfare of broiler chickens using sensor technology in Southwest Nigeria (2024)
Presentation / Conference Contribution

Multiple factors affect the health and welfare of broiler chickens under the deep litter system. These factors include daily variations in temperature, humidity, noxious gases (such as ammonia, hydrogen sulphide, and nitrous oxide), particulate matte... Read More about Monitoring environmental factors for optimal health and welfare of broiler chickens using sensor technology in Southwest Nigeria.

NeuroEvolution algorithms applied in the designing process of biohybrid actuators (2024)
Presentation / Conference Contribution

Soft robots diverge from traditional rigid robotics, offering unique advantages in adaptability, safety, and human-robot interaction. In some cases, soft robots can be powered by biohybrid actuators and the design process of these systems is far from... Read More about NeuroEvolution algorithms applied in the designing process of biohybrid actuators.

Leveraging deep learning for enhanced software fault prediction using error-type metrics (2024)
Presentation / Conference Contribution

Software Fault Prediction (SFP) is a crucial strategy in software quality assurance, aiming to reduce costs and optimise resource allocation by identifying potentially faulty software modules based on key project characteristics. Despite significant... Read More about Leveraging deep learning for enhanced software fault prediction using error-type metrics.

Leveraging LLMs for smart cities qualitative data analysis (2024)
Presentation / Conference Contribution

Public authorities regularly conduct surveys and gather data from their citizens. The data is often analysed manually and consumes significant effort. This paper explores how Generative Artificial Intelli- gence (GAI) can help public authorities in a... Read More about Leveraging LLMs for smart cities qualitative data analysis.

Consistency of XAI models against medical expertise: An assessment protocol (2024)
Presentation / Conference Contribution

Despite the significant advances made by Artificial Intelligence (AI) models in enhancing medical diagnostics and prognostics, their opacity poses a hurdle to widespread clinical adoption. In this regard, Explainable AI (XAI) aims to demystify these... Read More about Consistency of XAI models against medical expertise: An assessment protocol.

Mycelium-based ELM emulation utilizing memristive oscillating cellular automata (2024)
Presentation / Conference Contribution

Engineered Living Materials (ELMs) represent a novel class of materials that possess intrinsic properties and capabilities inspired by living organisms. Among ELMs, fungal mycelium stands out due to its low-cost manufacturing process, ubiquity in nat... Read More about Mycelium-based ELM emulation utilizing memristive oscillating cellular automata.

AdaHAT: Adaptive hard attention to the task in task-incremental learning (2024)
Presentation / Conference Contribution

Catastrophic forgetting is a major issue in task-incremental learning, where a neural network loses what it has learned in previous tasks after being trained on new tasks. A number of architecture- based approaches have been proposed to address this... Read More about AdaHAT: Adaptive hard attention to the task in task-incremental learning.

Examining neural networks through architectural variation analysis for image classification (2024)
Presentation / Conference Contribution

This paper presents a method for examining neural networks in image classification through architectural variation analysis. Small-scale experiments generate initial insights, and the configurations are further tested on entire datasets. The newly pr... Read More about Examining neural networks through architectural variation analysis for image classification.

Squishy, yet satisfying: Exploring deformable shapes' cross-modal correspondences with colours and emotions (2024)
Presentation / Conference Contribution

Surfaces with deformable and shape-changing properties seek to enhance and diversify tangible interactions with computing systems. However, we currently lack fundamental knowledge and user interface design principles that connect the inherent propert... Read More about Squishy, yet satisfying: Exploring deformable shapes' cross-modal correspondences with colours and emotions.

DeformIO: Dynamic stiffness control on a deformable force-sensing display (2024)
Presentation / Conference Contribution

Introducing DeformIO, a novel deformable display with co-located force input and variable stiffness output. Unlike prior work, our approach does not require pin arrays or re-configurable panels. Instead, we leveraged pneumatics and resistive sensing... Read More about DeformIO: Dynamic stiffness control on a deformable force-sensing display.

Integrating students as academic partners in software engineering: A group software development case study (2024)
Presentation / Conference Contribution

Exploring the role of a Student as an Academic Partner (SAP) in software engineering education, this study investigates the interactions between students and faculty and evaluates the perceptions of students on SAP's integration within a Group Softwa... Read More about Integrating students as academic partners in software engineering: A group software development case study.

TRIST: Towards a container-based ICS testbed for cyber threat simulation and anomaly detection (2024)
Presentation / Conference Contribution

Cyber-attacks on Industrial Control Systems (ICS), as exemplified by the incidents at the Maroochy water treatment plant and the Ukraine's electric power grid, have demonstrated that cyber threats can inflict significant physical impacts. These incid... Read More about TRIST: Towards a container-based ICS testbed for cyber threat simulation and anomaly detection.

Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators (2024)
Presentation / Conference Contribution

One of the training methods of Artificial Neural Networks is Neuroevolution (NE) or the application of Evolutionary Optimization on the architecture and weights of networks to fit the target behaviour. In order to provide competitive results, three k... Read More about Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators.

Cyber Funfair: Creating immersive and educational experiences for teaching Cyber Physical Systems Security (2024)
Presentation / Conference Contribution

Delivering meaningful and inspiring cyber security education for younger audiences can often be a challenge due to limited expertise and resources. Key to any outreach activity is that it both develops a learner's curiosity, as well as providing educ... Read More about Cyber Funfair: Creating immersive and educational experiences for teaching Cyber Physical Systems Security.

Explainable NLP model for predicting patient admissions at emergency department using triage notes (2024)
Presentation / Conference Contribution

Explainable Artificial Intelligence (XAI) has the potential to revolutionize healthcare by providing more transparent, trustworthy, and understandable predictions made by AI models. To this end, the present study aims to develop an explainable NLP mo... Read More about Explainable NLP model for predicting patient admissions at emergency department using triage notes.

Obmaaq: Ontology-based model for automated assessment of short-answer questions (2024)
Presentation / Conference Contribution

Automated scoring of short answers is becoming increasingly important nowadays, as more classes are taking place online due to COVID-19 outbreaks. Over the past 50 years, different techniques have been applied to develop ways of assessing short answe... Read More about Obmaaq: Ontology-based model for automated assessment of short-answer questions.

Electrical properties of proteinoids for unconventional computing architectures (2023)
Presentation / Conference Contribution

Proteinoids are peptide-like molecules that arise from the combination of amino acids in pre-biotic environments. Recent studies have revealed distinctive electrical characteristics of proteinoids, such as the presence of voltage-gated ion channels,... Read More about Electrical properties of proteinoids for unconventional computing architectures.

An assessment of Wi-Fi 5 and 6 and its effects on location tracking (2023)
Presentation / Conference Contribution

Location tracking is a privacy attack within the Wi-Fi protocol that recently gained the attention of researchers. Wi-Fi-enabled devices, such as smartphones and watches, constantly broadcast probe requests to connect to an Access Point. These reques... Read More about An assessment of Wi-Fi 5 and 6 and its effects on location tracking.