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All Outputs (819)

A Review of Distributed Ledger Technologies in the Machine Economy: Challenges and Opportunities in Industry and Research
Presentation / Conference Contribution
Khan, M. D., Schaefer, D., & Milisavljevic-Syed, J. A Review of Distributed Ledger Technologies in the Machine Economy: Challenges and Opportunities in Industry and Research. Presented at 55th CIRP Conference on Manufacturing Systems 2022, Lugano, Switzerland

Blockchain Technology has gained prominence since 2008 with trust, reliability, speed, and transparency becoming major advantages. It has also been applied and researched within a multitude of industry applications ranging from manufacturing to finan... Read More about A Review of Distributed Ledger Technologies in the Machine Economy: Challenges and Opportunities in Industry and Research.

A Decision-Based Framework for Predictive Maintenance Technique Selection in Industry 4.0
Presentation / Conference Contribution
Li, J., Schaefer, D., & Milisavljevic-Syed, J. A Decision-Based Framework for Predictive Maintenance Technique Selection in Industry 4.0. Presented at 55th CIRP Conference on Manufacturing Systems 2022, Lugano, Switzerland

Maintenance is defined as the actions that allow machines and equipment to work for an extended period of time by retaining and restoring equipment to its original state. In Industry 4.0 context, Predictive Maintenance (PdM) is a strategy that utiliz... Read More about A Decision-Based Framework for Predictive Maintenance Technique Selection in Industry 4.0.

Supply Chain Management 4.0: Looking Backward, Looking Forward
Presentation / Conference Contribution
Khan, M. D., Schaefer, D., & Milisavljevic-Syed, J. Supply Chain Management 4.0: Looking Backward, Looking Forward. Presented at 55th CIRP Conference on Manufacturing Systems, Lugano, Switzerland

About ten years ago, a bold vision with a prospect of largely autonomous factories of the future with digitized processes, data-driven smart applications, and seamlessly integrated supply chains was born and quickly became known as Industry 4.0 or ak... Read More about Supply Chain Management 4.0: Looking Backward, Looking Forward.

Strategies for Achieving Pre-emptive Resilience in Military Supply Chains
Presentation / Conference Contribution
Sani, S., Schaefer, D., & Milisavljevic-Syed, J. Strategies for Achieving Pre-emptive Resilience in Military Supply Chains. Presented at 55th CIRP Conference on Manufacturing Systems 2022, Lugano, Switzerland

As technological advancement is rapidly evolving modern warfare, military supply chains are becoming more dynamic and complex with high vulnerability to unexpected disruptions. To increase their overall resilience against such unexpected disruptions,... Read More about Strategies for Achieving Pre-emptive Resilience in Military Supply Chains.

Adapting live loudspeaker array spatialisation methods for a site-specific live electronic music performance in physical, virtual and hybrid contexts
Presentation / Conference Contribution
Barnard, M., Slater, M., & Martin, A. (2023, August). Adapting live loudspeaker array spatialisation methods for a site-specific live electronic music performance in physical, virtual and hybrid contexts. Presented at International Conference on Spatial and Immersive Audio 2023, Huddersfield

Nightports at Hull Minster is a musical project that harnesses spatialisation techniques to present music composed of the sounds of Hull Minster, UK, in both the location itself and alternative performance spaces, whilst still expressing the spatiali... Read More about Adapting live loudspeaker array spatialisation methods for a site-specific live electronic music performance in physical, virtual and hybrid contexts.

Redefining Digital Twins - A Wind Energy Operations and Maintenance Perspective
Presentation / Conference Contribution
Tuton, E., Ma, X., & Dethlefs, N. (2024, May). Redefining Digital Twins - A Wind Energy Operations and Maintenance Perspective. Presented at The Science of Making Torque from Wind (TORQUE 2024), Florence, Italy

Digital Twin (DT) technology has seen an explosion in popularity, with wind energy no exception. This is particularly true for Operations & Maintenance (O&M) applications. However, this expanded use has been accompanied by loose, conflicting, definit... Read More about Redefining Digital Twins - A Wind Energy Operations and Maintenance Perspective.

Meta-Heuristic Optimization of Sliding Mode Control—Application to Quadrotor-Based Inspection of Solar Panels
Presentation / Conference Contribution
Rezoug, A., Bouderbala, F.-Z., Baizid, K., & Iqbal, J. (2022, December). Meta-Heuristic Optimization of Sliding Mode Control—Application to Quadrotor-Based Inspection of Solar Panels. Presented at 1st International Conference on Advanced Renewable Energy Systems (ICARES 2022), Tipaza, Algeria

In this paper, inspection of solar energy system is addressed using a quadrotor unmanned aerial vehicle (UAV) system. The accurate positioning of the system on the solar panel requires a robust controller to precisely address the fault while ensuring... Read More about Meta-Heuristic Optimization of Sliding Mode Control—Application to Quadrotor-Based Inspection of Solar Panels.

DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture
Presentation / Conference Contribution
Babaferi, E. V., Fagbola, T. M., & Thakur, C. S. (2024, August). DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture. Presented at 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Mauritius

Brain tumors are abnormal cell growths within the brain tissues, necessitating their early detection towards effective treatment. To achieve this, high-quality brain images via medical imaging techniques, such as Magnetic Resonance Imaging (MRI), are... Read More about DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture.

Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis
Presentation / Conference Contribution
Fagbola, T. M., Aderemi, E. T., & Thakur, C. S. (2024, August). Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis. Presented at 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Mauritius

The use of Deep Learning (DL)-based methods for Colorectal Cancer (CRC) classification and segmentation has gained significant attention in recent times. This study employs a bibliometric analysis to investigate the state-of-The-art research on DL-ba... Read More about Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis.

Global Knowledge, Local Impact: Domain Adaptation and Classification for Obesity in the UAE
Presentation / Conference Contribution
Raza, M., Khattak, A., Abbas, W., & Khan, A. (2024, June). Global Knowledge, Local Impact: Domain Adaptation and Classification for Obesity in the UAE. Presented at 37th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Guadalajara, Mexico

Obesity, a global public health concern, is escalating rapidly, especially in the Middle East, with the United Arab Emirates (UAE) witnessing one of the highest prevalence rates among adults and children. This multifactorial health issue is influence... Read More about Global Knowledge, Local Impact: Domain Adaptation and Classification for Obesity in the UAE.

Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance
Presentation / Conference Contribution
Walker, C., Rothon, C., Aslansefat, K., Papadopoulos, Y., & Dethlefs, N. (2024, February). Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance. Presented at Safety Critical Systems Symposium SSS'24, Bristol, UK

It has been forecasted that a quarter of the world's energy usage will be supplied from Offshore Wind (OSW) by 2050 (Smith 2023). Given that up to one third of Levelised Cost of Energy (LCOE) arises from Operations and Maintenance (O&M), the motive f... Read More about Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance.

Instructional Design and Delivery for Community and Belonging
Presentation / Conference Contribution
Fallin, L., & Kaegi, A. (2024, July). Instructional Design and Delivery for Community and Belonging. Paper presented at Integrating Educational Thinking. International Teaching and Learning Conference 2024., Teaching Excellence Academy, University of Hull

Using Human- and Equity-Centred Design Thinking to Co-Design for Belonging
Presentation / Conference Contribution
Kaegi, A. (2023, May). Using Human- and Equity-Centred Design Thinking to Co-Design for Belonging. Presented at HEFi23 Conference (Higher Education Futures Institute), University of Birmingham

Opening Slide:
What is Design Thinking?
It's three things in one:
• A method
• A mindset
• A model of leadership
Rooted in empathy, creativity, and innovation, design thinking is agile, collaborative, and iterative.

Sustainability: mapping the curriculum to enhance employability - outcomes and next steps
Presentation / Conference Contribution
Kaegi, A. (2022, July). Sustainability: mapping the curriculum to enhance employability - outcomes and next steps. Paper presented at 2022 Annual Summer Learning and Teaching Conference. Personalised Pedagogies: inclusive, empowering and progressive Higher Education for all, Teaching Excellence Academy, University of Hull

Can vibration statistics of an idealised sine wave be used to examine fatigue properties of porcine trabecular bone?
Presentation / Conference Contribution
Shanker, T.-A., & Zioupos, P. (2017, September). Can vibration statistics of an idealised sine wave be used to examine fatigue properties of porcine trabecular bone?. Presented at HRV2017: 52nd Human Response to Vibration Conference & Workshop, Shrivenham, UK

Fatigue testing on trabecular bone has been performed throughout the years, the data contained could be of use to researchers attempting to find a qualitative link between whole-body vibration and spinal damage. 10 porcine trabecular cores were testi... Read More about Can vibration statistics of an idealised sine wave be used to examine fatigue properties of porcine trabecular bone?.

Investigation on corner precision at different corner angles in material extrusion additive manufacturing: An experimental and computational fluid dynamics analysis
Presentation / Conference Contribution
Mollah, M. T., Moetazedian, A., Gleadall, A., Yan, J., Alphonso, W. E., Comminal, R., Šeta, B., Lock, T., & Spangenberg, J. (2022, July). Investigation on corner precision at different corner angles in material extrusion additive manufacturing: An experimental and computational fluid dynamics analysis. Presented at 2022 International Solid Freeform Fabrication Symposium, University of Texas at Austin

This paper investigates the influence of different corner angles on microscale geometry in material extrusion additive manufacturing. Polylactic acid (PLA) was 3D-printed with corner angles of 15°, 30°, 45°, 60°, 75°, 90°, and 135° using Bowden and D... Read More about Investigation on corner precision at different corner angles in material extrusion additive manufacturing: An experimental and computational fluid dynamics analysis.