Skip to main content

Research Repository

Advanced Search

All Outputs (10947)

Operator-valued multiplier theorems for causal translation-invariant operators with applications to control theoretic input-output stability (2024)
Journal Article
Guiver, C., Logemann, H., & Opmeer, M. R. (online). Operator-valued multiplier theorems for causal translation-invariant operators with applications to control theoretic input-output stability. Mathematics of Control, Signals, and Systems, https://doi.org/10.1007/s00498-024-00387-4

We prove an operator-valued Laplace multiplier theorem for causal translation-invariant linear operators which provides a characterization of continuity from~$H^\alpha(\mR,U)$ to~$H^\beta(\mR,U)$ (fractional~$U$-valued Sobolev spaces, $U$ a complex H... Read More about Operator-valued multiplier theorems for causal translation-invariant operators with applications to control theoretic input-output stability.

The energy-balance method for optimal control in renewable energy applications (2024)
Journal Article
Guiver, C., & Opmeer, M. R. (2024). The energy-balance method for optimal control in renewable energy applications. Renewable Energy Focus, 50, Article 100582. https://doi.org/10.1016/j.ref.2024.100582

A theoretical method is presented, called the energy-balance method, for maximising the energy extracted from a renewable energy converter in terms of determination of an optimal control. The method applies to control systems specified by linear grap... Read More about The energy-balance method for optimal control in renewable energy applications.

MoodFlow: Orchestrating Conversations with Emotionally Intelligent Avatars in Mixed Reality (2024)
Presentation / Conference Contribution
Casas, L., Hannah, S., & Mitchell, K. (2024, March). MoodFlow: Orchestrating Conversations with Emotionally Intelligent Avatars in Mixed Reality. Presented at ANIVAE 2024 : 7th IEEE VR Internal Workshop on Animation in Virtual and Augmented Environments, Orlando, Florida

MoodFlow presents a novel approach at the intersection of mixed reality and conversational artificial intelligence for emotionally intelligent avatars. Through a state machine embedded in user prompts, the system decodes emotional nuances, enabling a... Read More about MoodFlow: Orchestrating Conversations with Emotionally Intelligent Avatars in Mixed Reality.

Effect of Particle Size on the Thermal Conductivity of Organic Phase Change Materials with Expanded Graphite (2024)
Journal Article
Jesus D'Oliveira, E., Azimov, U., Costa Pereira, C., & Lafdi, K. (2024). Effect of Particle Size on the Thermal Conductivity of Organic Phase Change Materials with Expanded Graphite. Journal of Energy Storage, 92, Article 112090. https://doi.org/10.1016/j.est.2024.112090

Numerous studies have been conducted to enhance the thermal conductivity of phase change materials (PCMs) using various techniques. Among them, adding high-conductive particles, such as expanded graphite (EG). Nevertheless, in the published literatur... Read More about Effect of Particle Size on the Thermal Conductivity of Organic Phase Change Materials with Expanded Graphite.

A Change Severity Degree-based Dynamic Multi-Objective Optimization Algorithm with Adaptive Response Strategy (2024)
Journal Article
Kouka, N., Fourati, R., Fdhila, R., Hussain, A., & Alimi, A. M. (2024). A Change Severity Degree-based Dynamic Multi-Objective Optimization Algorithm with Adaptive Response Strategy. Information Sciences, 677, Article 120794. https://doi.org/10.1016/j.ins.2024.120794

Many real-world optimization problems are dynamic by nature, exhibiting temporal variations in objective functions, constraints, and parameters. These problems present significant challenges for algorithm convergence and diversity,... Read More about A Change Severity Degree-based Dynamic Multi-Objective Optimization Algorithm with Adaptive Response Strategy.

DanceMark: An open telemetry framework for latency sensitive real-time networked immersive experiences (2024)
Presentation / Conference Contribution
Koniaris, B., Sinclair, D., & Mitchell, K. (2024, March). DanceMark: An open telemetry framework for latency sensitive real-time networked immersive experiences. Presented at IEEE VR Workshop on Open Access Tools and Libraries for Virtual Reality, Orlando, FL

DanceMark is an open telemetry framework designed for latency-sensitive real-time networked immersive experiences, focusing on online dancing in virtual reality within the DanceGraph platform. The goal is to minimize end-to-end latency and enhance us... Read More about DanceMark: An open telemetry framework for latency sensitive real-time networked immersive experiences.

Knowledge, Attitude and Practices of energy utilisation behaviours: A study of residential building occupants (2024)
Journal Article
Tilde, A. I., & Fernando, N. G. (2024). Knowledge, Attitude and Practices of energy utilisation behaviours: A study of residential building occupants. Built Environment Project and Asset Management, 14(3), 349-365. https://doi.org/10.1108/bepam-01-2023-0008

Purpose This study aims to assess residential energy consumption knowledge, attitudes, and practices in Abuja Municipality, providing insights for effective conservation strategies, reducing costs and mitigating environmental impact. Design/methodo... Read More about Knowledge, Attitude and Practices of energy utilisation behaviours: A study of residential building occupants.

A Two-branch Edge Guided Lightweight Network for infrared image saliency detection (2024)
Journal Article
Liu, Z., Li, X., Zhang, T., Zhang, X., Sun, C., Rehman, S. U., & Ahmad, J. (2024). A Two-branch Edge Guided Lightweight Network for infrared image saliency detection. Computers and Electrical Engineering, 118(Part A), Article 109296. https://doi.org/10.1016/j.compeleceng.2024.109296

In the dynamic landscape of saliency detection, convolutional neural networks have emerged as catalysts for innovation, but remain largely tailored for RGB imagery, falling short in the context of infrared images, particularly in memory-restricted en... Read More about A Two-branch Edge Guided Lightweight Network for infrared image saliency detection.

How thermal treatment affects the chemical composition and the physical, mechanical and swelling properties of Scots pine juvenile and mature wood (2024)
Journal Article
Broda, M., Popescu, C.-M., Poszwa, K., & Roszyk, E. (2024). How thermal treatment affects the chemical composition and the physical, mechanical and swelling properties of Scots pine juvenile and mature wood. Wood science and technology, 58(3), 1153-1180. https://doi.org/10.1007/s00226-024-01561-2

High variations in juvenile wood properties in the radial direction and its worse performance than mature wood make it less suitable for some applications and often treated as waste material. This study aimed to assess how thermal modification affect... Read More about How thermal treatment affects the chemical composition and the physical, mechanical and swelling properties of Scots pine juvenile and mature wood.

A method for constrained energy-maximising control of heaving wave-energy converters via a nonlinear frequency response (2024)
Presentation / Conference Contribution
Guiver, C. (2024, August). A method for constrained energy-maximising control of heaving wave-energy converters via a nonlinear frequency response. Presented at The 8th IEEE Conference on Control Technology and Applications (CCTA) 2024, Newcastle Upon Tyne

A theoretical grounding is presented for justifying how frequency domain methods may be applied in the determination of constrained extracted-energy maximising controls in wave-energy conversion applications subject to nonlinear models. A computation... Read More about A method for constrained energy-maximising control of heaving wave-energy converters via a nonlinear frequency response.

Reproducing Human Evaluation of Meaning Preservation in Paraphrase Generation (2024)
Presentation / Conference Contribution
Watson, L. N., & Gkatzia, D. (2024, May). Reproducing Human Evaluation of Meaning Preservation in Paraphrase Generation. Presented at HumEval2024 at LREC-COLING 2024, Turin, Italy

Reproducibility is a cornerstone of scientific research, ensuring the reliability and generalisability of findings. The ReproNLP Shared Task on Reproducibility of Evaluations in NLP aims to assess the reproducibility of human evaluation studies. This... Read More about Reproducing Human Evaluation of Meaning Preservation in Paraphrase Generation.

Lead-Free NaNbO 3 -Based Ceramics for Electrostatic Energy Storage Capacitors (2024)
Journal Article
Soheli, S. N., Lu, Z., Sun, D., & Shyha, I. (2024). Lead-Free NaNbO 3 -Based Ceramics for Electrostatic Energy Storage Capacitors. Ceramics, 7(2), 712-734. https://doi.org/10.3390/ceramics7020047

The burgeoning significance of antiferroelectric (AFE) materials, particularly as viable candidates for electrostatic energy storage capacitors in power electronics, has sparked substantial interest. Among these, lead-free sodium niobate (NaNbO3) AFE... Read More about Lead-Free NaNbO 3 -Based Ceramics for Electrostatic Energy Storage Capacitors.

Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects (2024)
Journal Article
Sarker, I. H., Janicke, H., Mohsin, A., Gill, A., & Maglaras, L. (online). Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects. ICT Express, https://doi.org/10.1016/j.icte.2024.05.007

Digital twins (DTs) are an emerging digitalization technology with a huge impact on today’s innovations in both industry and research. DTs can significantly enhance our society and quality of life through the virtualization of a real-world physical s... Read More about Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects.

Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles (2024)
Journal Article
Zhao, L., Qian, H., Hawbani, A., Al-Dubai, A. Y., Tan, Z., Yu, K., & Zomaya, A. Y. (online). Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/TITS.2024.3398602

Intelligent transportation systems (ITS) utilize advanced technologies to enhance traffic safety and efficiency, contributing significantly to modern transportation. The integration of Vehicle-to-Everything (V2X) further elevates road safety and fost... Read More about Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles.

Proximity-Driven, Load-Balancing Task Offloading Algorithm for Enhanced Performance in Satellite-Enabled Mist Computing (2024)
Presentation / Conference Contribution
Babaghayou, M., Chaib, N., Maglaras, L., Yigit, Y., Ferrag, M. A., & Marsh, C. (2023, December). Proximity-Driven, Load-Balancing Task Offloading Algorithm for Enhanced Performance in Satellite-Enabled Mist Computing. Presented at 16th EAI International Conference, WiCON 2023, Athens, Greece

In an era of rapidly evolving mobile computing, integrating satellite technologies with the Internet of Things (IoT) creates new communication and data management horizons. Our research focuses on the emerging challenge of efficiently managing heavy... Read More about Proximity-Driven, Load-Balancing Task Offloading Algorithm for Enhanced Performance in Satellite-Enabled Mist Computing.

Information avoidance by younger adults with Type 1 diabetes: A preliminary empirical study (2024)
Journal Article
Ryan, B., & Webster, G. (in press). Information avoidance by younger adults with Type 1 diabetes: A preliminary empirical study. Information Research,

Introduction. People with Type 1 diabetes need to collect data to calculate their own insulin doses, and collect information about potential complications. However, information avoidance may be a barrier to such activities. Method. A preliminary stu... Read More about Information avoidance by younger adults with Type 1 diabetes: A preliminary empirical study.

MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer (2024)
Journal Article
Wang, F., Shi, X., Yang, F., Song, R., Li, Q., Tan, Z., & Wang, C. (2024). MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer. Journal of Information Security and Applications, 83, Article 103784. https://doi.org/10.1016/j.jisa.2024.103784

The proliferation of malware has exhibited a substantial surge in both quantity and diversity, posing significant threats to the Internet and indispensable network applications. The accurate and effective classification makes a pivotal role in defend... Read More about MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer.

Integration of Building Services in Modular Construction: A PRISMA Approach (2024)
Journal Article
Kazeem, K. O., Olawumi, T. O., Adam, J. J., & Lam, E. W. (2024). Integration of Building Services in Modular Construction: A PRISMA Approach. Applied Sciences, 14(10), Article 4151. https://doi.org/10.3390/app14104151

Modular construction is gaining worldwide attention. Building services are the systems that make buildings comfortable and efficient. Mechanical, electrical, and plumbing (MEP) systems provide heating, cooling, lighting, energy distribution, and wate... Read More about Integration of Building Services in Modular Construction: A PRISMA Approach.

Beyond the Screen: Exploring Students' Views on Social Media's Impact in Education (2024)
Presentation / Conference Contribution
Demeke, W. (2024, March). Beyond the Screen: Exploring Students' Views on Social Media's Impact in Education. Presented at 12nd World Conference on Information Systems and Technologies, Lodz, Poland

This study delved into the intricate relationship between social media usage and academic outcomes among university students from diverse fields: en-gineering and art studies, health and social care studies, and business studies. The study employed a... Read More about Beyond the Screen: Exploring Students' Views on Social Media's Impact in Education.