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Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study (2024)
Journal Article

With the growing concern for the health of ageing populations, much research continues to look at the impact of cognitive training, particularly in relation to cognitive decline. We sought to use novel techniques, including augmented reality and port... Read More about Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study.

Cat Royale (2024)
Other

Would you let a robot care for your pet? Blast Theory’s Cat Royale explores the impact of AI on humans and animals. For 12 days, Ghostbuster, Pumpkin, and Clover played with a robot arm that offered them games, toys, and treats every few minutes. The... Read More about Cat Royale.

Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings (2023)
Journal Article

Having a good grasp on modelling the dynamics of occupants for estimating electricity consumption in office buildings is a vital asset for realistic predictions. Nowadays, agent-based models are widely used for this purpose. Previous approaches to mo... Read More about Comparing different approaches of agent-based occupancy modelling for predicting realistic electricity consumption in office buildings.

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition (2023)
Journal Article

This article proposes a semi-supervised contrastive capsule transformer method with feature-based knowledge distillation (KD) that simplifies the existing semisupervised learning (SSL) techniques for wearable human activity recognition (HAR), called... Read More about CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition.

Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse (2023)
Journal Article

In the published article, there was an error in the author list arrangement, the corrected author list appears below. Paschal Ochang1*, Damian Eke1 and Bernd Carsten Stahl1,2 The authors apologize for this error and state that this does not change th... Read More about Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse.

Virtual, augmented, mixed, and extended reality interventions in healthcare: a systematic review of health economic evaluations and cost-effectiveness (2023)
Journal Article

Introduction Health economic evaluations are required to best understand the value of interventions to the health economy. As extended reality technologies (an umbrella term including virtual, augmented, and mixed reality) become cheaper and more... Read More about Virtual, augmented, mixed, and extended reality interventions in healthcare: a systematic review of health economic evaluations and cost-effectiveness.

Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data (2023)
Conference Proceeding

Life satisfaction significantly contributes to wellbe-ing and is linked to positive outcomes for individual people and society more broadly. However, previous research demonstrates that many factors contribute to the life satisfaction of an individua... Read More about Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data.

A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization (2023)
Journal Article

Over the last decade, particle swarm optimization has become increasingly sophisticated because well-balanced exploration and exploitation mechanisms have been proposed. The sequential quadratic programming method, which is widely used for real-param... Read More about A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization.

Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon (2023)
Journal Article

The first-of-its-kind use of the active learning (AL) framework in thermal spray is adapted to enhance the prediction accuracy of the in-flight particle characteristics. The successful AL framework implementation via Bayesian Optimisation is benefici... Read More about Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon.