All Outputs (1109)

Exploring knowledge management principles for decision-making in low-energy building for sustainable construction (2024)
Conference Proceeding
Maduka, N., Greenwood, D., & Udeaja, C. (2024). Exploring knowledge management principles for decision-making in low-energy building for sustainable construction. In C. Egbu (Ed.), Proceedings of International Council for Research and Innovation in Building and Construction (CIB) international conference. Going north for sustainability: Leveraging knowledge and innovation for sustainable construction and development

Low energy building retrofit presents important opportunities for reducing of greenhouse gas emissions in the environment. It has been considered as one of the key approaches to achieving sustainable development in construction industry. Nevertheless... Read More about Exploring knowledge management principles for decision-making in low-energy building for sustainable construction.

What do policymakers need to know about harassment in the metaverse? (2024)
Conference Proceeding
McIntosh, V. (2024). What do policymakers need to know about harassment in the metaverse?.

As immersive technologies and spatial computing paradigms move into the mainstream, public and political interest in the metaverse is growing. In some respects, the metaverse offers an exciting view of the future, one in which a global community can... Read More about What do policymakers need to know about harassment in the metaverse?.

3D Machine vision and deep learning for enabling automated and sustainable assistive physiotherapy (2024)
Conference Proceeding
Smith, L., Boyd, S., Bhatta, D., & Smith, M. (2024). 3D Machine vision and deep learning for enabling automated and sustainable assistive physiotherapy. In 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE). https://doi.org/10.1109/CSCE60160.2023.00209

The significant beneficial effects of physiotherapy as a treatment for a wide range of medical conditions, is well known. However, the challenge for already stressed healthcare systems to provide effective physiotherapy to an aging population, that h... Read More about 3D Machine vision and deep learning for enabling automated and sustainable assistive physiotherapy.

Varieties of institutional systems, ownership characteristics and cross-border acquisitions: A comparative study of Brazil and China (2024)
Conference Proceeding
Cai, C. (2024). Varieties of institutional systems, ownership characteristics and cross-border acquisitions: A comparative study of Brazil and China.

In this paper, we use the Varieties of Institutional Systems framework and comparative institutional perspective to compare and contrast the home country institutional factors in two emerging countries: Brazil and China. Our focus is on exploring how... Read More about Varieties of institutional systems, ownership characteristics and cross-border acquisitions: A comparative study of Brazil and China.

Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators (2024)
Conference Proceeding
Tsompanas, M. A. (2024). Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators. In Applications of Evolutionary Computation (275-289). https://doi.org/10.1007/978-3-031-56855-8_17

One of the training methods of Artificial Neural Networks is Neuroevolution (NE) or the application of Evolutionary Optimization on the architecture and weights of networks to fit the target behaviour. In order to provide competitive results, three k... Read More about Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators.

Cyber Funfair: Creating immersive and educational experiences for teaching Cyber Physical Systems Security (2024)
Conference Proceeding
Mills, A., White, J., & Legg, P. (2024). Cyber Funfair: Creating immersive and educational experiences for teaching Cyber Physical Systems Security. In SIGCSE 2024: Proceedings of the 55th ACM Technical Symposium on Computer Science Education (847-852). https://doi.org/10.1145/3626252.3630820

Delivering meaningful and inspiring cyber security education for younger audiences can often be a challenge due to limited expertise and resources. Key to any outreach activity is that it both develops a learner's curiosity, as well as providing educ... Read More about Cyber Funfair: Creating immersive and educational experiences for teaching Cyber Physical Systems Security.

Digital twins in industry 4.0 cyber security (2024)
Conference Proceeding
Lo, C., Win, T. Y., Rezaeifar, Z., Khan, Z., & Legg, P. (2024). Digital twins in industry 4.0 cyber security. In Proceedings of the IEEE Smart World Congress 2023. https://doi.org/10.1109/swc57546.2023.10449147

The increased adoption of sophisticated Cyber Physical Systems (CPS) in critical infrastructure and various aspects of Industry 4.0 has exposed vulnerabilities stemming from legacy CPS and Industrial Internet of Things (IIoT) devices. The interconnec... Read More about Digital twins in industry 4.0 cyber security.

Robotic additive manufacturing of lichen composites for air quality monitoring (2024)
Conference Proceeding
Nikolaidou, A., & Jorgensen, T. (in press). Robotic additive manufacturing of lichen composites for air quality monitoring.

In the light of an unprecedented climate emergency, there is an urgent need to reconsider the materials we use for the construction of our buildings and to explore alternative material systems that are abundant, easy to source, and exhibit increased... Read More about Robotic additive manufacturing of lichen composites for air quality monitoring.

Estimating water storage from images (2024)
Conference Proceeding
Shahbaz, A., Yunas, S., Smith, L., & Staddon, C. (2024). Estimating water storage from images. In 2023 IEEE International Conference on Big Data (BigData) (3375-3379). https://doi.org/10.1109/BigData59044.2023.10386262

This paper introduces a novel approach to estimate domestic water storage within households by leveraging the classical computer vision technique of object detection. Ensuring universal access to safe drinking water is a critical component of achievi... Read More about Estimating water storage from images.

Explainable NLP model for predicting patient admissions at emergency department using triage notes (2024)
Conference Proceeding
Arnaud, E., Elbattah, M., Moreno-Sánchez, P. A., Dequen, G., & Ghazali, D. A. (2024). Explainable NLP model for predicting patient admissions at emergency department using triage notes. In 2023 IEEE International Conference on Big Data (BigData) (4843-4847). https://doi.org/10.1109/bigdata59044.2023.10386753

Explainable Artificial Intelligence (XAI) has the potential to revolutionize healthcare by providing more transparent, trustworthy, and understandable predictions made by AI models. To this end, the present study aims to develop an explainable NLP mo... Read More about Explainable NLP model for predicting patient admissions at emergency department using triage notes.

Analyst-driven XAI for time series forecasting: Analytics for telecoms maintenance (2024)
Conference Proceeding
Barrett, J., Legg, P., Smith, J., & Boyle, C. (in press). Analyst-driven XAI for time series forecasting: Analytics for telecoms maintenance.

Time series forecasting facilitates real-time anomaly detection in telecom networks, predicting events that disrupt security and service. Current research efforts have been found to focus on new forecasting libraries, more rigorous data cleaning meth... Read More about Analyst-driven XAI for time series forecasting: Analytics for telecoms maintenance.

Experimental and numerical analysis of the bifurcation behaviour of a very flexible wing (2024)
Conference Proceeding
Pontillo, A., Coetzee, E., Lowenberg, M. H., Jones, D., & Cooper, J. E. (2024). Experimental and numerical analysis of the bifurcation behaviour of a very flexible wing. . https://doi.org/10.2514/6.2024-1265

High aspect ratio wings promise greater aerodynamic efficiency with subsequent savings for airlines. However, these types of designs could be prone to unstable aeroelastic responses within the standard flight envelope, which may result from the reduc... Read More about Experimental and numerical analysis of the bifurcation behaviour of a very flexible wing.

Wind tunnel investigations of a pitch-free flexible high aspect ratio aircraft model (2024)
Conference Proceeding
Banneheka Navaratna, P. D., Pontillo, A., Rezgui, D., Lowenberg, M. H., Neild, S. A., & Cooper, J. E. (2024). Wind tunnel investigations of a pitch-free flexible high aspect ratio aircraft model. In AIAA SCITECH 2024 Forum. https://doi.org/10.2514/6.2024-2819

This paper presents low Reynolds number experimental wind tunnel investigations of flexible high aspect ratio aircraft models with body pitch degree-of-freedom. The aim is to assess nonlinear dynamic interactions of highly flexible wings with aircraf... Read More about Wind tunnel investigations of a pitch-free flexible high aspect ratio aircraft model.

Obmaaq: Ontology-based model for automated assessment of short-answer questions (2024)
Conference Proceeding
Ramnarain-Seetohul, V., Bassoo, V., & Rosunally, Y. (in press). Obmaaq: Ontology-based model for automated assessment of short-answer questions. In 2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI). https://doi.org/10.1109/ICAEECI58247.2023.10370992

Automated scoring of short answers is becoming increasingly important nowadays, as more classes are taking place online due to COVID-19 outbreaks. Over the past 50 years, different techniques have been applied to develop ways of assessing short answe... Read More about Obmaaq: Ontology-based model for automated assessment of short-answer questions.

Impact 12 Proceedings // Panel Sessions and Reflective papers Vol 2 (2024) (2024)
Conference Proceeding
Parraman, C. (2024). Impact 12 Proceedings // Panel Sessions and Reflective papers Vol 2 (2024).

The second volume comprising a range of articles from the panel sessions and reflective presentations at IMPACT. The subjects reflect on many of the themes of the conference: the post-pandemic voice, community and collaboration, histories of print an... Read More about Impact 12 Proceedings // Panel Sessions and Reflective papers Vol 2 (2024).

Exploring the complex, emergent choreography of classroom teaching and learning (2024)
Conference Proceeding
Knight, B. (2024). Exploring the complex, emergent choreography of classroom teaching and learning. In Applying Education in a Complex World (278-287)

Classroom learning is a complex, emergent phenomenon. Classroom teaching is a complex, dynamic activity. Together, learning and teaching occupy a complex, non-linear and relational space which is often oversimplified and misunderstood. This paper dra... Read More about Exploring the complex, emergent choreography of classroom teaching and learning.

Electrical properties of proteinoids for unconventional computing architectures (2023)
Conference Proceeding
Mougkogiannis, P., & Adamatzky, A. (2023). Electrical properties of proteinoids for unconventional computing architectures. In NANOARCH '23: Proceedings of the 18th ACM International Symposium on Nanoscale Architectures (1-4). https://doi.org/10.1145/3611315.3633264

Proteinoids are peptide-like molecules that arise from the combination of amino acids in pre-biotic environments. Recent studies have revealed distinctive electrical characteristics of proteinoids, such as the presence of voltage-gated ion channels,... Read More about Electrical properties of proteinoids for unconventional computing architectures.

Thermal comfort study in MSMEs in Cairo using onsite measurements and optimization algorithm (2023)
Conference Proceeding
Lila, A., Sharmin, T., Khalil, A., Ismaeel, W. S., Karram, M., Ewida, S., …Ammar, H. M. (2023). Thermal comfort study in MSMEs in Cairo using onsite measurements and optimization algorithm. In Proceedings of Building Simulation 2023: 18th Conference of IBPSA (1579-1586). https://doi.org/10.26868/25222708.2023.1374

Micro, Small & Medium Enterprises (MSMEs) in the hot climates in Egypt face many challenges with increased heat stress, reduced labour productivity and adverse occupational health effects often leading to work injuries and heat stroke. This study inv... Read More about Thermal comfort study in MSMEs in Cairo using onsite measurements and optimization algorithm.

A building classification system for multi-hazard risk assessment of historical religious buildings (2023)
Conference Proceeding
Del Carlo, F., Caprili, S., Ferreira, T. M., Roca, P., & Uzielli, M. (2023). A building classification system for multi-hazard risk assessment of historical religious buildings. In M. Papadrakakis, & M. Fragiadakis (Eds.), A building classification system for multi-hazard risk assessment of historical religious buildings Proceedings - Volume 2 (2741-2751)

UnReinforced Masonry (URM) religious buildings have proven to require special attention in the context of natural hazards risk assessment due to their high vulnerability - connected to aging and types of construction ' and to their strong links with... Read More about A building classification system for multi-hazard risk assessment of historical religious buildings.

Introducing the concept of repurposing robots; to increase their useful life, reduce waste, and improve sustainability in the robotics industry (2023)
Conference Proceeding
Mcgloin, H., Studley, M., Mawle, R., & Winfield, A. (2023). Introducing the concept of repurposing robots; to increase their useful life, reduce waste, and improve sustainability in the robotics industry. In R. W. de Bruin, M. O. Tokhi, L. Belder, M. I. A. Ferreira, N. S. Govindarajulu, & M. F. Silva (Eds.), . https://doi.org/10.13180/icres.2023.17-18.07.007

Based on current definitions of electronic waste, the robotics industry faces a future where products created for both business and consumer markets could be required to meet regulations to manage the control of electronic products at the end of thei... Read More about Introducing the concept of repurposing robots; to increase their useful life, reduce waste, and improve sustainability in the robotics industry.