All Outputs (667)

Adapting deep-learning audio models for abnormal EEG classification (2025)
Presentation / Conference Contribution

EEG signal analysis and audio processing, though distinct in application, share inherent structural similarities in their data patterns. Recognizing this parallel, our study pioneers the application of two renowned audio processing models, PaSST and... Read More about Adapting deep-learning audio models for abnormal EEG classification.

Automatic pre-screening of outdoor airborne microplastics in micrographs using deep learning (2025)
Journal Article

Airborne microplastics (AMPs) are prevalent in both indoor and outdoor environments, posing potential health risks to humans. Automating the process of spotting them in micrographs can significantly enhance research and monitoring. Although deep lear... Read More about Automatic pre-screening of outdoor airborne microplastics in micrographs using deep learning.

Engaging children with river and natural flood management in Minecraft (2025)
Presentation / Conference Contribution

Science Hunters (1) is a programme of projects that has successful utilised the popular computer game Minecraft to engage children from under-represented backgrounds with geosciences, engineering and other related areas for the last decade (2). Proje... Read More about Engaging children with river and natural flood management in Minecraft.

Affective computing in anxiety disorders: A rapid literature review of emotion recognition applications (2025)
Presentation / Conference Contribution

Anxiety disorders (ADs) affect roughly one in ten people in the UK, and this number is expected to increase, intensifying the need for innovation. Digital technologies such as affective computing (AC, technology to detect human emotions) could foster... Read More about Affective computing in anxiety disorders: A rapid literature review of emotion recognition applications.

Dynamic modelling for the family of 5-axis CNC milling machines with application to feed-rate optimization (2025)
Journal Article

The 5-axis CNC milling machines are complex mechanical systems, and they can be designed with hundreds of 5 degrees of freedom mechanisms. The kinematic and dynamic modelling of machines is crucial for optimising the machine design and the milling pr... Read More about Dynamic modelling for the family of 5-axis CNC milling machines with application to feed-rate optimization.

Application of carbon-fiber-reinforced polymer rods and ultra-high-performance fiber-reinforced concrete jackets with mechanical anchorage systems to reinforced concrete slabs (2025)
Journal Article

The aim of this experimental study was to develop and evaluate the effectiveness of a new strengthening system for reinforced concrete slabs employing external jackets consisting of ultra-high-performance fiber-reinforced-concrete (UHPFRC) and mechan... Read More about Application of carbon-fiber-reinforced polymer rods and ultra-high-performance fiber-reinforced concrete jackets with mechanical anchorage systems to reinforced concrete slabs.

Human-centered design trade-offs for semi-powered knee prostheses: A review (2025)
Journal Article

For many decades, developments of knee prostheses have shown a dichotomy regarding fundamental working principles. The industry has mainly emphasized on quasi-passive hydraulic solutions, whereas most research works have focused on powered devices, e... Read More about Human-centered design trade-offs for semi-powered knee prostheses: A review.

Exploring the EarMetrics concept: The bony ear canal as a non-pigmented site for photoplethysmography (2025)
Presentation / Conference Contribution

Photoplethysmography (PPG) is a well-established form of physiological sensing, but persistent challenges include skin-tone-dependent variations in performance and trade-offs between performance and acceptance factors in site selection. We propose th... Read More about Exploring the EarMetrics concept: The bony ear canal as a non-pigmented site for photoplethysmography.

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.

Adaptive prescribed time path following controller for underactuated surface vessels (2025)
Journal Article

Heading control of marine vehicles is an important issue in navigation and control engineering. This paper investigates the design of a prescribed-time robust adaptive path following control problem of an underactuated surface vessel with parametric... Read More about Adaptive prescribed time path following controller for underactuated surface vessels.

Insights into the use of GRESB as an ESG benchmarking tool (2025)
Journal Article

Purpose - Sustainability practices and reporting have consistently evolved over the years with trends towards more holistic approaches with respect to environmental, social, and corporate governance (ESG). In the real estate sector over the last deca... Read More about Insights into the use of GRESB as an ESG benchmarking tool.

High-fidelity aeroelastic analysis of a wind turbine using a nonlinear frequency-domain solution method (2025)
Journal Article

This paper investigates the aeroelastic behaviour of a full wind turbine model with realistic blade vibration amplitude (9% span) using a nonlinear frequency-domain solution method. The primary objective is to demonstrate the computational efficiency... Read More about High-fidelity aeroelastic analysis of a wind turbine using a nonlinear frequency-domain solution method.

A vision-guided deep learning framework for dexterous robotic grasping using Gaussian processes and transformers (2025)
Journal Article

Robotic manipulation of objects with diverse shapes, sizes, and properties, especially deformable ones, remains a significant challenge in automation, necessitating human-like dexterity through the integration of perception, learning, and control. Th... Read More about A vision-guided deep learning framework for dexterous robotic grasping using Gaussian processes and transformers.

A multimodal feedback interface for assisted navigation with a smart walker (2025)
Presentation / Conference Contribution

This study investigates the effectiveness of a mul-timodal feedback interface for assisted navigation using a smart walker, addressing mobility challenges faced by older adults. The methodology involved equipping a walker with sensors and feedback co... Read More about A multimodal feedback interface for assisted navigation with a smart walker.

Comparison of motor imagery brain computer interfaces and validation with the OpenBCI EEG electrode cap (2025)
Presentation / Conference Contribution

People with Tetraplegia will typically require costly, round-the-clock care over the course of their lives due to lack of motor function. Brain computer interfaces (BCIs) are capable of identifying imagined motor intention for individual limbs; howev... Read More about Comparison of motor imagery brain computer interfaces and validation with the OpenBCI EEG electrode cap.

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.

Distributed estimation and motion control in multi-agent systems under multiple attacks (2025)
Journal Article

This paper addresses the problem of distributed estimation and motion control (DEMC) in multi-agent systems (MASs) with both linear and Lipschitz nonlinear dynamics. Unlike conventional DEMC methods designed for MASs under ideal conditions, this work... Read More about Distributed estimation and motion control in multi-agent systems under multiple attacks.

A comprehensive review of retrofitted reinforced concrete members utilizing ultra-high-performance fiber-reinforced concrete (2025)
Journal Article

Strengthening reinforced concrete (RC) buildings is a critical challenge in the construction industry, pushed by the necessity to address aging infrastructure, environmental degradation, and growing use requirements. Ultra-high-performance fiber-rein... Read More about A comprehensive review of retrofitted reinforced concrete members utilizing ultra-high-performance fiber-reinforced concrete.

Wedged Gurney Flap for performance improvement of Vertical Axis Wind Turbines (2025)
Presentation / Conference Contribution

This study evaluates the wedged Gurney Flap (GF) on a three- straight-bladed Vertical Axis Wind Turbine (VAWT) using Computational Fluid Dynamics (CFD) simulations. The analysis considers the rotating effect of the blades at three different Tip Speed... Read More about Wedged Gurney Flap for performance improvement of Vertical Axis Wind Turbines.

Investigation of microjet engine inlet pressure distortions at angled inflow velocity conditions (2025)
Journal Article

The Armfield CM14 microjet axial flow turbine engine has been tested in open space at ambient conditions with engine inlet pressure at the aerodynamic interface plane (AIP) measured by a built-in pressure sensor for validating computational fluid dyn... Read More about Investigation of microjet engine inlet pressure distortions at angled inflow velocity conditions.