All Outputs (1142)

The feasibility of hydrogen fuel cells as a solution toward zero emissions in general aviation aircraft (2023)
Conference Proceeding
Charman, J., & Bouferrouk, A. (2024). The feasibility of hydrogen fuel cells as a solution toward zero emissions in general aviation aircraft. In Solutions for Maintenance Repair and Overhaul (323-330). https://doi.org/10.1007/978-3-031-38446-2_36

In this chapter, hydrogen fuel cell (HFC) technology is investigated as a solution for the general aviation industry. A modified Cessna 172 installed with poly-membrane fuel cells (PEMFCs) was modelled through MATLAB/Simulink software with Hydrogen (... Read More about The feasibility of hydrogen fuel cells as a solution toward zero emissions in general aviation aircraft.

Neuro-rehabilitation therapy with T-FLEX ankle exoskeleton and serious games: A case study (2023)
Conference Proceeding
Gomez-Vargas, D., Pino, A., Garzón, A., Garzon, A., Roberti, F., Carelli, R., …Cifuentes, C. A. (2023). Neuro-rehabilitation therapy with T-FLEX ankle exoskeleton and serious games: A case study. In 2023 International Conference on Rehabilitation Robotics (ICORR). https://doi.org/10.1109/ICORR58425.2023.10304765

Acquired Brain Injury (ABI) causes permanent disabilities, such as foot drop. This condition affects the gait pattern, increasing the metabolic cost and risk of falling. Robotics with serious games has shown promising results in the gait rehabilitati... Read More about Neuro-rehabilitation therapy with T-FLEX ankle exoskeleton and serious games: A case study.

Predicting social trust from implicit feedback (2023)
Conference Proceeding
Oshodin, E. (2023). Predicting social trust from implicit feedback. In Artificial Intelligence XL (228-233). https://doi.org/10.1007/978-3-031-47994-6_20

Element of trust exists in every network structure of diverse fields, but suitable computational methods for evaluating the trust remain a problem since there are different definitions of trust in diverse fields where several entities interact with e... Read More about Predicting social trust from implicit feedback.

DPFTT: Distributed particle filter for target tracking in the Internet of Things (2023)
Conference Proceeding
Boulkaboul, S., Djenouri, D., & Bagaa, M. (2023). DPFTT: Distributed particle filter for target tracking in the Internet of Things. In 2023 12th IFIP/IEEE International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN). https://doi.org/10.23919/PEMWN58813.2023.10304926

A novel distributed particle filter algorithm for target tracking is proposed in this paper. It uses new metrics and addresses the measurement uncertainty problem by adapting the particle filter to environmental changes and estimating the kinematic (... Read More about DPFTT: Distributed particle filter for target tracking in the Internet of Things.

A cross-cultural exploration of smart home energy devices and community well-being (2023)
Conference Proceeding
Mishra, P., Fennell, J., Dragojlovic-Oliveira, S., & Chatzimichali, A. (2023). A cross-cultural exploration of smart home energy devices and community well-being. In 2023 IEEE International Symposium on Technology and Society (ISTAS). https://doi.org/10.1109/istas57930.2023.10306140

This study explores the role of smart home energy devices in Home Energy Management Systems (HEMS) and their impact on culture and community well-being. Through a comprehensive seven-step methodology, we analyze the features of HEMS that enhance indi... Read More about A cross-cultural exploration of smart home energy devices and community well-being.

Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security (2023)
Conference Proceeding
White, J., & Legg, P. (in press). Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security.

Federated learning is an effective approach for training a global machine learning model. It uses locally acquired data without having to share local data with the centralised server. This method provides a machine learning model beneficial for all p... Read More about Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security.

Generating event sensor readings using spatial correlations and a graph sensor adversarial model for energy saving in IoT: GSAVES (2023)
Conference Proceeding
Laidi, R., Djenouri, D., Bagaa, M., Khelladi, L., & Djenouri, Y. (2023). Generating event sensor readings using spatial correlations and a graph sensor adversarial model for energy saving in IoT: GSAVES. In 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). https://doi.org/10.1109/pimrc56721.2023.10293922

This work targets a comprehensive model enabling energy-constrained IoT (Internet of Things) sensor devices to be inactive for extended periods while estimating their readings of real-time events. Although events seem semantically uncoupled, they are... Read More about Generating event sensor readings using spatial correlations and a graph sensor adversarial model for energy saving in IoT: GSAVES.

What will make misinformation spread: An XAI perspective (2023)
Conference Proceeding
Bo, H., Wu, Y., You, Z., McConville, R., Hong, J., & Liu, W. (2023). What will make misinformation spread: An XAI perspective. In L. Longo (Ed.), Explainable Artificial Intelligence (321-337). https://doi.org/10.1007/978-3-031-44067-0_17

Explainable Artificial Intelligence (XAI) techniques can provide explanations of how AI systems or models make decisions, or what factors AI considers when making the decisions. Online social networks have a problem with misinformation which is known... Read More about What will make misinformation spread: An XAI perspective.

Can we revitalize interventional healthcare with AI-XR surgical metaverses? (2023)
Conference Proceeding
Qayyum, A., Bilal, M., Hadi, M., Capik, P., Caputo, M., Vohra, H., …Qadir, J. (2023). Can we revitalize interventional healthcare with AI-XR surgical metaverses?. In IEEE International Conference on Metaverse Computing, Networking and Applications (IEEE MetaCom 2023) (496-503). https://doi.org/10.1109/MetaCom57706.2023.00091

Recent advancements in technology, particularly in machine learning (ML), deep learning (DL), and the metaverse, offer great potential for revolutionizing surgical science. The combination of artificial intelligence and extended reality (AI-XR) techn... Read More about Can we revitalize interventional healthcare with AI-XR surgical metaverses?.

Potential applications of photovoltaic technologies for biomimetic adaptive solar building envelopes (2023)
Conference Proceeding
Jalali, S., Nicoletti, E., & Badarnah, L. (in press). Potential applications of photovoltaic technologies for biomimetic adaptive solar building envelopes.

Building envelope as an interface between the outside and inside of the building serves more than its loadbearing function and has a pivotal role in regulating and saving energy. This role necessitates the adaptability of the building envelope to the... Read More about Potential applications of photovoltaic technologies for biomimetic adaptive solar building envelopes.

A simplified digital twin framework of a trainer aircraft (2023)
Conference Proceeding
Reinhardt, D., & Bouferrouk, A. (2023). A simplified digital twin framework of a trainer aircraft. . https://doi.org/10.13009/EUCASS2023-965

This paper aims to establish a simplified, user-friendly framework for a Digital Twin (DT) of a PC21 jet trainer aircraft. The implementation of the DT is carried out in Matlab with the aid of embedded Neural Network tools. The aircraft is trained a... Read More about A simplified digital twin framework of a trainer aircraft.

Numerical framework for aerodynamic and aeroacoustics of bio-inspired UAV blades (2023)
Conference Proceeding
Wilkins, R., & Bouferrouk, A. (2023). Numerical framework for aerodynamic and aeroacoustics of bio-inspired UAV blades. . https://doi.org/10.13009/EUCASS2023-948

With the aim to understand and control the noise from small unmanned aerial vehicles (UAVs), this work presents a numerical framework for small-scale rotor blade, employing a bio-inspired finlet design. The simulation framework employs Direct Eddy Si... Read More about Numerical framework for aerodynamic and aeroacoustics of bio-inspired UAV blades.

The effect of parameters on the success of heuristic algorithms in personalized personnel scheduling (2023)
Conference Proceeding
Gülmez, E., Urgancı, K. B., Koruca, H. İ., & Aydin, M. E. (2023). The effect of parameters on the success of heuristic algorithms in personalized personnel scheduling. In Advances in Intelligent Manufacturing and Service System Informatics (600-611). https://doi.org/10.1007/978-981-99-6062-0_55

Work-life balance is an approach that aims to enable employees to balance their work, family, and private lives. It is seen that the factors in the work-life balance are not relevant to work and family, considering the activities that one wishes for... Read More about The effect of parameters on the success of heuristic algorithms in personalized personnel scheduling.

The spirit of modern academic legal education: Towards governing principles (2023)
Conference Proceeding
Platsas, A. E. (2023). The spirit of modern academic legal education: Towards governing principles. In The European Conference on Education 2023 Official Conference Proceedings (1479-1488). https://doi.org/10.22492/issn.2188-1162.2023.118

The contribution promotes the idea of principles in academic legal education. Principles are taken to be abstract notions that can offer a certain direction of things in academic legal education. The paper posits that such principles should be taken... Read More about The spirit of modern academic legal education: Towards governing principles.

Exploring the potential of a pronunciation guide app to support non-native speaking students in higher education (2023)
Conference Proceeding
Western, D. (2023). Exploring the potential of a pronunciation guide app to support non-native speaking students in higher education. In ICETC '23: Proceedings of the 15th International Conference on Education Technology and Computers (78–85). https://doi.org/10.1145/3629296.3629309

Non-native speaking (NNS) students form an important part of the student population in the UK and many other countries’ higher education sectors. They face numerous additional challenges compared with their native speaking counterparts. Software to s... Read More about Exploring the potential of a pronunciation guide app to support non-native speaking students in higher education.

Knowledge guided deep learning for general-purpose computer vision applications (2023)
Conference Proceeding
Djenouri, Y., Belbachir, A. N., Jhaveri, R. H., & Djenouri, D. (2023). Knowledge guided deep learning for general-purpose computer vision applications. In Computer Analysis of Images and Patterns (185-194). https://doi.org/10.1007/978-3-031-44237-7_18

This research targets general-purpose smart computer vision that eliminates reliance on domain-specific knowledge to reach adaptable generic models for flexible applications. It proposes a novel approach in which several deep learning models are trai... Read More about Knowledge guided deep learning for general-purpose computer vision applications.

Experimental and numerical study on shear behaviour of bolted inter‐modular connection (2023)
Conference Proceeding
Rajanayagam, H., Gunawardena, T., Mendis, P., Poologanathan, K., Gatheeshgar, P., Nagaratnam, B., & Corradi, M. (2023). Experimental and numerical study on shear behaviour of bolted inter‐modular connection. . https://doi.org/10.1002/cepa.2606

This study presents a comprehensive evaluation of the shear behaviour of bolted intermodular connections under lateral load using theoretical, experimental, and numerical approaches. Three design configurations with varying bolt sizes and hole tolera... Read More about Experimental and numerical study on shear behaviour of bolted inter‐modular connection.

Understanding people's perceptions of their liveable neighbourhoods: A case study of East Bristol (2023)
Conference Proceeding
Covato, E., & Jeawak, S. (2023). Understanding people's perceptions of their liveable neighbourhoods: A case study of East Bristol. . https://doi.org/10.4230/LIPIcs.GIScience.2023.24

Liveable neighbourhoods are urban planning initiatives that aim to improve the quality of residential areas. In this paper, we focus on the East Bristol Liveable Neighbourhood (EBLN) to understand people’s perceptions of their neighbourhood’s urban r... Read More about Understanding people's perceptions of their liveable neighbourhoods: A case study of East Bristol.

Urban building energy modelling and generative design - an integration for energy-optimised urban design: A systematic review (2023)
Conference Proceeding
Elshanshoury, W., Lila, A., Lavaf-Pour, Y., Lamond, J., & Marco, E. (2023). Urban building energy modelling and generative design - an integration for energy-optimised urban design: A systematic review. In Proceedings of Building Simulation 2023: 18th Conference of IBPSA (2627 - 2634). https://doi.org/10.26868/25222708.2023.1382

Global warming is having a significant impact on urban living conditions and putting pressure on finite resources. The built environment, particularly in urban areas, is a major contributor to this problem, highlighting the need for sustainable urban... Read More about Urban building energy modelling and generative design - an integration for energy-optimised urban design: A systematic review.

From necessity to choice: An exploration of participants’ learning experience of online coaching training programmes (2023)
Conference Proceeding
Mangion-Thornley, K. (2023). From necessity to choice: An exploration of participants’ learning experience of online coaching training programmes. In The 23rd International Conference on Human Resource Development Research and Practice across Europe, “Workplace change – disruption, continuity and reinvention. The role of HRD in a changing Global Context”. Book of Abstracts (173-174)

This exploratory study examines how online coaching education is experienced by managers and senior leaders taking part in a Coaching and Mentoring (C&M) qualification at level 5 and 7. This is particularly timely and important considering the shift... Read More about From necessity to choice: An exploration of participants’ learning experience of online coaching training programmes.