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All Outputs (2790)

Pre-Signature Scheme for Trustworthy Offline V2V Communication (2023)
Conference Proceeding
Muller, T., Carpent, X., Furnell, S., Almani, D., & Yoshizawa, T. (2023). Pre-Signature Scheme for Trustworthy Offline V2V Communication.

Vehicle-to-Vehicle (V2V) communication systems hold great potential for enhancing road safety and traffic efficiency. The authenti-cation of such communication is crucial, particularly in scenarios where infrastructure is absent, while also ensuring... Read More about Pre-Signature Scheme for Trustworthy Offline V2V Communication.

Modelling Photonic Crystal Surface Emitting Lasers (PCSELs) with Iterative Weighted Index Method (2023)
Conference Proceeding
Lang, B., Vukovic, A., Sewell, P., Rihani, S., Boylan, K., Berry, G., …Rawsthorne, J. (2023). Modelling Photonic Crystal Surface Emitting Lasers (PCSELs) with Iterative Weighted Index Method. In 2023 International Conference on Electromagnetics in Advanced Applications (ICEAA) (485 - 485). https://doi.org/10.1109/ICEAA57318.2023.10297919

Photonic crystal surface emitting lasers (PCSELs) are a promising type of semiconductor laser, able to maintain single-mode operation over a large area, resulting in a high-power beam with small angular divergence.

UbiFix: Tackling Repairability Challenges in Smart Devices (2023)
Conference Proceeding
Sailaja, N., Castle-Green, T., Coulton, P., Stead, M., Lindley, J., Urquhart, L., & Darzentas, D. P. (2023). UbiFix: Tackling Repairability Challenges in Smart Devices. In UbiComp/ISWC '23 Adjunct (802-806). https://doi.org/10.1145/3594739.3605113

IoT products are increasingly becoming the default, with non-IoT versions of common hardware (e.g., TVs and printers) harder to find. Alongside this adoption surge, lack of support, outdated security, and planned obsolescence present concerning susta... Read More about UbiFix: Tackling Repairability Challenges in Smart Devices.

FUTURE MACHINE: Making Myths & Designing Technology for a Responsible Future: Making Myths and Entanglement: Community engagement at the edge of participatory design and user experience (2023)
Conference Proceeding
Jacobs, R., Spence, J., Abbott, F., Chamberlain, A., Heim, W., Yemaoua Dayo, A., …King, J. (2023). FUTURE MACHINE: Making Myths & Designing Technology for a Responsible Future: Making Myths and Entanglement: Community engagement at the edge of participatory design and user experience. . https://doi.org/10.1145/3616961.3616979

This paper explores the unique methods and strategies employed by a team of artists, in collaboration with engineers, programmers, a climate scientist, researchers and members of the public, who have come together to create the Future Machine, with t... Read More about FUTURE MACHINE: Making Myths & Designing Technology for a Responsible Future: Making Myths and Entanglement: Community engagement at the edge of participatory design and user experience.

Unified Surface and Volumetric Inference on Functional Imaging Data (2023)
Conference Proceeding
Kirk, T. F., Craig, M. S., & Chappell, M. A. (2023). Unified Surface and Volumetric Inference on Functional Imaging Data. In J. Duncan, H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, T. Syeda-Mahmood, & R. Taylor (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VIII (399-408). https://doi.org/10.1007/978-3-031-43993-3_39

Surface-based analysis methods for functional imaging data have been shown to offer substantial benefits for the study of the human cortex, namely in the localisation of functional areas and the establishment of inter-subject correspondence. A new ap... Read More about Unified Surface and Volumetric Inference on Functional Imaging Data.

Methodology for Digital Transformation: A Continuous Improvement Approach (2023)
Conference Proceeding
Hernández Oliver, K., Martínez-Arellano, G., & Segal, J. (2023). Methodology for Digital Transformation: A Continuous Improvement Approach. In 1st Workshop on Low-Cost Digital Solutions for Industrial Automation

Digital technologies have the potential to significantly transform the manufacturing industry by achieving improvements in productivity, quality and sustainability. Despite this, the uptake is relatively low as companies face a number of challenges i... Read More about Methodology for Digital Transformation: A Continuous Improvement Approach.

Mobility and Utility in Robot Mediated Interaction: An Interactive Workshop for the Identification of Use Cases and Affordances of Telepresence Robots (2023)
Conference Proceeding
Schneiders, E., Boudouraki, A., Reyes-Cruz, G., Martinez Avila, J. P., Elmimouni, H., Grønbæk, J. E. S., …Joshi, S. (2023). Mobility and Utility in Robot Mediated Interaction: An Interactive Workshop for the Identification of Use Cases and Affordances of Telepresence Robots. In MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction (1-5). https://doi.org/10.1145/3565066.3609791

In recent years virtual meetings have become the predominant alternative to face-To-face meetings. Ongoing efforts in the design of telepresence robots promise remote access to physical settings and a greater sense of presence, leading to improved re... Read More about Mobility and Utility in Robot Mediated Interaction: An Interactive Workshop for the Identification of Use Cases and Affordances of Telepresence Robots.

Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision (2023)
Conference Proceeding
Mo, F., Ur Rehman, H. U., Elshafei, B., Chaplin, J. C., Sanderson, D., Martínez-Arellano, G., & Ratchev, S. (2023). Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision. In Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023). https://doi.org/10.1049/icp.2023.1736

In the evolving digital landscape, Small and Medium-sized Enterprises (SMEs) grapple with the intricate task of managing vast manufacturing data while operating within budgetary constraints. Addressing this dichotomy, our research introduces an innov... Read More about Efficient decision-making in SMEs: leveraging knowledge graphs with Neo4j and AI vision.

Low-cost System for Visual Inspection of Corrosion: An Industrial Case Study (2023)
Conference Proceeding
Hernández Oliver, K. H., Martínez-Arellano, G., & Segal, J. (2023). Low-cost System for Visual Inspection of Corrosion: An Industrial Case Study. In 1st Workshop on Low-Cost Digital Solutions for Industrial Automation

The use of digital technologies around the world has increased considerably, modifying the way in which daily activities are conducted. The manufacturing sector is no exception. Over the last decade, digital technologies have become a key element for... Read More about Low-cost System for Visual Inspection of Corrosion: An Industrial Case Study.

Machine learning detects terminal singularities (2023)
Conference Proceeding
Kasprzyk, A., Coates, T., & Veneziale, S. (in press). Machine learning detects terminal singularities. In Advances in Neural Information Processing Systems (NeurIPS 2023)

Algebraic varieties are the geometric shapes defined by systems of polynomial equations; they are ubiquitous across mathematics and science. Amongst these algebraic varieties are Q-Fano varieties: positively curved shapes which have Q-factorial termi... Read More about Machine learning detects terminal singularities.

I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication (2023)
Conference Proceeding
Large, D. R., Hallewell, M., Li, X., Harvey, C., & Burnett, G. (2023). I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication. In AutomotiveUI '23 Adjunct: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (127-132). https://doi.org/10.1145/3581961.3609883

We employed the 'Ghost Driver' methodology to emulate an autonomous vehicle (AV) and explored pedestrians' (n=520) crossing behaviour in response to external human-machine interfaces (eHMIs). Three eHMI designs were created to replace absent pedestri... Read More about I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication.

Identifying Variation in the Newborn Life Support Procedure: An Automated Method (2023)
Conference Proceeding
Tan, A., Remenyte-Prescott, R., Egede, J., Valstar, M., & Sharkey, D. (2023). Identifying Variation in the Newborn Life Support Procedure: An Automated Method. In M. P. Brito, T. Aven, P. Baraldi, M. Čepin, & E. Zio (Eds.), Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023) (607-614)

This research is conducted for developing an automated method to recognize variations in the Newborn Life Support (NLS) procedure. Compliance with the NLS standard guideline is essential to prevent any adverse consequences for the newborn. Video reco... Read More about Identifying Variation in the Newborn Life Support Procedure: An Automated Method.

UAV Path Planning for Area Coverage and Energy Consumption in Oil and Gas Exploration Environment (2023)
Conference Proceeding
Maaji, S. S., & Landa-Silva, D. (2023). UAV Path Planning for Area Coverage and Energy Consumption in Oil and Gas Exploration Environment. In Computational Logistics. ICCL 2023 (467-481). https://doi.org/10.1007/978-3-031-43612-3_29

This paper proposes a model for unmanned aerial vehicles (UAV) grid-based coverage path planning, considering coverage completeness and energy consumption in complex environments with multiple obstacles. The work is inspired by the need for more effi... Read More about UAV Path Planning for Area Coverage and Energy Consumption in Oil and Gas Exploration Environment.

The Integration of Green Building Technologies into the Construction Sector of Developing Countries: The Case of Ghana (2023)
Conference Proceeding
Genfi, N., & Tokbolat, S. (2023). The Integration of Green Building Technologies into the Construction Sector of Developing Countries: The Case of Ghana. In A. Tutesigensi, & C. J. Neilson (Eds.), Proceedings of the 39th Annual ARCOM Conference (810-819)

Emerging climate change crisis, resources scarcity and global sustainability agenda are putting pressures on developing nations and demanding actions. This study aimed to examine the significance of introducing green building technologies (GBTs) in... Read More about The Integration of Green Building Technologies into the Construction Sector of Developing Countries: The Case of Ghana.

Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets (2023)
Conference Proceeding
Yan, R., Dunnett, S., & Jackson, L. (2023). Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets. In Proceedings of the The 33rd European Safety and Reliability Conference (ESREL 2023) 3 – 8 September 2023, Southampton, UK. https://doi.org/10.3850/978-981-18-8071-1_p034-cd

Offshore wind power is one of the main technologies helping to meet the global low carbon challenge. However, the significant expansion of the offshore wind industry and the rapid increase in the size and weight of turbine components will certainly a... Read More about Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets.

Human-AI Musicking: A Framework for Designing AI for Music Co-creativity (2023)
Conference Proceeding
Vear, C., Benford, S., Avila, J. M., & Moroz, S. (2023). Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

In this paper, we present a framework for understanding human-AI musicking. This framework prompts a series of questions for reflecting on various aspects of the creative interrelationships between musicians and AI and thus can be used as a tool for... Read More about Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

Modelling of Stress Evolution and Its Effect on Formability in Tension Under Cyclic Bending Plus Compression (2023)
Conference Proceeding
Peng, W., & Ou, H. (2024). Modelling of Stress Evolution and Its Effect on Formability in Tension Under Cyclic Bending Plus Compression. In K. Mocellin, P. Bouchard, R. Bigot, & T. Balan (Eds.), Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology o (713-721). https://doi.org/10.1007/978-3-031-41023-9_71

Single point incremental forming (SPIF) and Double-sided incremental forming (DSIF) are two main variants of incremental sheet forming (ISF) processes. Tension under cyclic bending (TCB) have been developed as a means for experimental evaluation and... Read More about Modelling of Stress Evolution and Its Effect on Formability in Tension Under Cyclic Bending Plus Compression.

Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data (2023)
Conference Proceeding
Dave, R., Angarita-Zapata, J. S., & Triguero, I. (2023). Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data. In Machine Learning and Knowledge Extraction (82-102). https://doi.org/10.1007/978-3-031-40837-3_6

The emergence of Machine Learning (ML) has altered how researchers and business professionals value data. Applicable to almost every industry, considerable amounts of time are wasted creating bespoke applications and repetitively hand-tuning models t... Read More about Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data.

Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing (2023)
Conference Proceeding
Abdi, H., Bagley, S. R., Furnell, S., & Twycross, J. (2023). Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing. In DocEng ’23 : Proceedings of the 2023 ACM Symposium on Document Engineering. https://doi.org/10.1145/3573128.3609348

Attribution provides valuable intelligence in the face of Advanced Persistent Threat (APT) attacks. By accurately identifying the culprits and actors behind the attacks, we can gain more insights into their motivations, capabilities, and potential fu... Read More about Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing.

Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model (2023)
Conference Proceeding
Zhang, H., Burrows, L., Meng, Y., Sculthorpe, D., Mukherjee, A., Coupland, S. E., …Zheng, Y. (2023). Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (15630-15640). https://doi.org/10.1109/cvpr52729.2023.01500

Image segmentation is a fundamental task in the field of imaging and vision. Supervised deep learning for segmentation has achieved unparalleled success when sufficient training data with annotated labels are available. However, annotation is known t... Read More about Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model.