Outputs (434)

Energy optimisation in aquaponics - Integrating renewable source and water as energy buffer for sustainable food production (2025)
Journal Article

Aquaponics, a symbiotic integration of aquaculture and hydroponics, has emerged as a promising solution for sustainable food production, offering efficient water and land utilisation. However, the high energy costs associated with maintaining optimal... Read More about Energy optimisation in aquaponics - Integrating renewable source and water as energy buffer for sustainable food production.

Hybrid graph convolutional LSTM model for spatio-temporal air quality transfer learning (2025)
Journal Article

The short-term air quality forecasting models serve as an early warning system for local agencies, aiding in preparing mitigation strategies against severe pollution episodes. This paper explores the application of Transfer Learning to enhance short-... Read More about Hybrid graph convolutional LSTM model for spatio-temporal air quality transfer learning.

Travel patterns & conference intentions: Engaging conference attendees with sustainability through input physicalization (2025)
Presentation / Conference Contribution

Against the backdrop of a growing concern with environmental sustainability across HCI research and design, TEI'24 was the first version of the conference to include a sustainability chair. In conjunction with this increasing interest in sustainabili... Read More about Travel patterns & conference intentions: Engaging conference attendees with sustainability through input physicalization.

On the response of proteinoid ensembles to Fibonacci sequences (2025)
Journal Article

This work investigates the integration of Fibonacci patterns and Golden Ratio principles into proteinoid-based systems, connecting fundamental mathematical concepts with contemporary biomimetic approaches. Proteinoids are thermal proteins that can se... Read More about On the response of proteinoid ensembles to Fibonacci sequences.

ResNet18 performance: Impact of network depth and image resolution on image classification (2025)
Presentation / Conference Contribution

This study explores aspects of using ResNet18 for the classification of biomedical images, using the 2D medical images from the MedMNIST library that is widely used for benchmarking. The number of layers within the ResNet18 was studied. The typically... Read More about ResNet18 performance: Impact of network depth and image resolution on image classification.

Enhancing statistics support with artificial intelligence (2025)
Journal Article

The integration of artificial intelligence (AI) technologies is revolutionising traditional methods of teaching and learning. The University of the West of England, Bristol, has developed a generative AI policy that encourages AI literacy, personal l... Read More about Enhancing statistics support with artificial intelligence.

Bioelectrical oscillations and scaling behaviour of sea mud (2025)
Journal Article

This study uses a systematic approach to examine the bioelectric dynamics of marine sediments. We used an eight-channel recording system to measure bioelectric potentials. It had Pt/Ir electrodes and high-precision data acquisition (1 Hz sampling, 24... Read More about Bioelectrical oscillations and scaling behaviour of sea mud.

Evaluating cybersecurity frameworks safeguarding the software industry against evolving threats (2025)
Book Chapter

The primary objective of this chapter is to evaluate the cybersecurity framework for software security, which has gained significant importance due to the rise in malicious attacks and other hacker-related threats to computer systems in recent years.... Read More about Evaluating cybersecurity frameworks safeguarding the software industry against evolving threats.

Application of machine learning for FOS/TAC soft sensing in bio-electrochemical anaerobic digestion (2025)
Journal Article

This study explores the application of various machine learning (ML) models for the real-time prediction of the FOS/TAC ratio in microbial electrolysis cell anaerobic digestion (MEC-AD) systems using data collected during a 160-day trial treating bre... Read More about Application of machine learning for FOS/TAC soft sensing in bio-electrochemical anaerobic digestion.

Explainable AI in medical imaging: An interpretable and collaborative federated learning model for brain tumor classification (2025)
Journal Article

Introduction: A brain tumor is a collection of abnormal cells in the brain that can become life-threatening due to its ability to spread. Therefore, a prompt and meticulous classification of the brain tumor is an essential element in healthcare care.... Read More about Explainable AI in medical imaging: An interpretable and collaborative federated learning model for brain tumor classification.