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Outputs (421)

The Lions’ Gate Permaculture Garden (2024)
Newspaper / Magazine
Egan, C. (2024). The Lions’ Gate Permaculture Garden. [Magazine Article]

Callum Egan explains how his academic community transformed The Lions’ Gate at Napier University, Edinburgh, into a series of permaculture gardens to create a healthier, nature-focused form of educational workplace

Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms (2024)
Journal Article
Mantovani, R. G., Horváth, T., Rossi, A. L. D., Cerri, R., Barbon Junior, S., Vanschoren, J., & de Carvalho, A. C. P. L. F. (2024). Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Mining and Knowledge Discovery, 38, 1364–1416. https://doi.org/10.1007/s10618-024-01002-5

Machine learning algorithms often contain many hyperparameters whose values affect the predictive performance of the induced models in intricate ways. Due to the high number of possibilities for these hyperparameter configurations and their complex i... Read More about Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms.

Active Cellulose-Based Food Packaging and Its Use on Foodstuff (2024)
Journal Article
Irimia, A., Grigoraș, V. C., & Popescu, C. (2024). Active Cellulose-Based Food Packaging and Its Use on Foodstuff. Polymers, 16(3), Article 389. https://doi.org/10.3390/polym16030389

The essential role of active packaging is food quality improvement, which results in an extension of shelf life. Active packaging can also further enhance distribution from the origin point, and contributes to food waste reduction, offering greater s... Read More about Active Cellulose-Based Food Packaging and Its Use on Foodstuff.

Can Federated Models Be Rectified Through Learning Negative Gradients? (2024)
Presentation / Conference Contribution
Tahir, A., Tan, Z., & Babaagba, K. O. Can Federated Models Be Rectified Through Learning Negative Gradients?. Presented at 13th EAI International Conference, BDTA 2023, Edinburgh

Federated Learning (FL) is a method to train machine learning (ML) models in a decentralised manner, while preserving the privacy of data from multiple clients. However, FL is vulnerable to malicious attacks, such as poisoning attacks, and is challen... Read More about Can Federated Models Be Rectified Through Learning Negative Gradients?.

Design Of A Serious Game For Safety In Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences (2024)
Presentation / Conference Contribution
El Raoui, H., Quigley, J., Aslan, A., Vasantha, G., Hanson, J., Corney, J., & Sherlock, A. (2023, December). Design Of A Serious Game For Safety In Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences. Presented at The Winter Simulation Conference 2023, San Antonio, Texas

Conventional methods used to elicit risk-taking preferences have demonstrated significant disparities with real-world behaviours, compromising the validity of the data collected. Serious gaming (SG) provides a high potential to bridge this gap. This... Read More about Design Of A Serious Game For Safety In Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences.

An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case (2024)
Presentation / Conference Contribution
Onyeashie, B., Leimich, P., McKeown, S., & Russell, G. (2023, August). An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case. Presented at EAI BDTA 2023 - 13th EAI International Conference on Big Data Technologies and Applications, Edinburgh

This paper presents a decentralised framework for sharing and managing evidence that uses smart lockers, blockchain technology, and the InterPlanetary File System (IPFS). The system incorporates Hyperledger Fabric blockchain for immutability and tamp... Read More about An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case.

A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence (2024)
Presentation / Conference Contribution
Onyeashie, B. I., Leimich, P., McKeown, S., & Russell, G. (2023, August). A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence. Presented at EAI BDTA 2023 - 13th EAI International Conference on Big Data Technologies and Applications, Edinburgh, UK

The effective management of digital evidence is critical to modern forensic investigations. However, traditional evidence management approaches are often prone to security and integrity issues. In recent years, the use of blockchain technology has em... Read More about A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence.

Image Forgery Detection using Cryptography and Deep Learning (2024)
Presentation / Conference Contribution
Oke, A., & Babaagba, K. O. (2024). Image Forgery Detection using Cryptography and Deep Learning. In Big Data Technologies and Applications. BDTA 2023 (62-78). https://doi.org/10.1007/978-3-031-52265-9_5

The advancement of technology has undoubtedly exposed everyone to a remarkable array of visual imagery. Nowadays, digital technology is eating away the trust and historical confidence people have in the integrity of imagery. Deep learning is often us... Read More about Image Forgery Detection using Cryptography and Deep Learning.

A Multiple-stage Uniform Transmission Line Matching Technique for Triple-Band RF to-DC Rectifier with Harmonic Suppression for Wireless Power Transfer Applications. (2024)
Presentation / Conference Contribution
Odiamenhi, M., See, C. H., Ojaroudi Parchin, N., Yu, H., & Goh, K. (2024, February). A Multiple-stage Uniform Transmission Line Matching Technique for Triple-Band RF to-DC Rectifier with Harmonic Suppression for Wireless Power Transfer Applications. Presented at URSI UK Symposium, National Physics Laboratory, Teddington