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All Outputs (63)

Exploring the Security Culture of Operational Technology (OT) Organisations: The Role of External Consultancy in Overcoming Organisational Barriers (2023)
Presentation / Conference
Evripidou, S., Ani, U. D., Hailes, S., & McK. Watson, J. D. (2023, August). Exploring the Security Culture of Operational Technology (OT) Organisations: The Role of External Consultancy in Overcoming Organisational Barriers. Presented at Nineteenth Symposium on Usable Privacy and Security (SOUPS 2023), Anaheim, California, USA

Operational Technology (OT) refers to systems that control and monitor industrial processes. Organisations that use OT can be found in many sectors, including water and energy, and often operate a nation's critical infrastructure. These organisations... Read More about Exploring the Security Culture of Operational Technology (OT) Organisations: The Role of External Consultancy in Overcoming Organisational Barriers.

Structural Complexity and Performance of Support Vector Machines (2022)
Presentation / Conference
(2022, July). Structural Complexity and Performance of Support Vector Machines. Presented at 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy

Support vector machines (SVM) are often applied in the context of machine learning analysis of various data. Given the nature of SVMs, these operate always in the sub-interpolation range as a machine learning method. Here we explore the impact of str... Read More about Structural Complexity and Performance of Support Vector Machines.

Deep Learning based Emotion Classification with Temporal Pupillometry Sequences (2021)
Presentation / Conference
Kanwal. (2021, December). Deep Learning based Emotion Classification with Temporal Pupillometry Sequences. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

In the recent era, automatic systems are the necessity of science. Systems for recognizing human emotions have gained popularity in various areas of knowledge specifically psychologists and psycho-physiologists. The interaction of the human-computer... Read More about Deep Learning based Emotion Classification with Temporal Pupillometry Sequences.

Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset (2021)
Presentation / Conference
Kanwal. (2021, December). Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

Flight cancellations can be caused by many factors, including adverse weather conditions, and can result in lost money and time, etc. The COVID-19 pandemic has significantly exacerbated this situation, leading to a significant decrease in air travel.... Read More about Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset.

Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters (2021)
Presentation / Conference
Fan. (2021, December). Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters. Presented at NeurIPS 2020 Workshop Tackling Climate Change with Machine Learning

In this proposal paper we highlight the need for privacy preserving energy demand forecasting to allay a major concern consumers have about smart meter installations. High resolution smart meter data can expose many private aspects of a consumer's ho... Read More about Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters.

Using Card Sorting to Design Faceted Navigation Structures (2021)
Presentation / Conference
De Quincey, E., & Mitchell, J. (2021, July). Using Card Sorting to Design Faceted Navigation Structures. Presented at 34th British HCI Conference, London, UK

This paper describes how a variation of card sorting- ‘repeated single-criterion sorting’, can be applied to the information architecture design of digital music services. 52 respondents were asked to sort, using their own choice of criteria, 12 popu... Read More about Using Card Sorting to Design Faceted Navigation Structures.

Art for Computer Scientists: Processing as an Open-Source Art Medium for Computer Science Undergraduates (2021)
Presentation / Conference
(2021, July). Art for Computer Scientists: Processing as an Open-Source Art Medium for Computer Science Undergraduates. Presented at Electronic Visualisation & the Arts (EVA) 2021, London

Art undergraduates increasingly engage in the design and coding of digital media and generative art, for example, using the open-source Processing library and Integrated Development Environment (IDE) created for visual artists. An equivalent cross-ov... Read More about Art for Computer Scientists: Processing as an Open-Source Art Medium for Computer Science Undergraduates.

Quantifying Missingness in Wearable Heart Rate Recordings (2021)
Presentation / Conference
Collins, T., Woolley, S. I., Oniani, S., & Pandyan, A. (2021, May). Quantifying Missingness in Wearable Heart Rate Recordings. Presented at Medical Informatics Europe 2021, Virtual

Wrist-worn photoplethysmography (PPG) heart rate monitoring devices are increasingly used in clinical applications despite the potential for data missingness and inaccuracy. This paper provides an analysis of the intermittency of experimental wearabl... Read More about Quantifying Missingness in Wearable Heart Rate Recordings.

Poster: Heart Rate Performance of a Medical-Grade Data Streaming Wearable Device (2020)
Presentation / Conference
(2020, December). Poster: Heart Rate Performance of a Medical-Grade Data Streaming Wearable Device. Presented at IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)

Wrist-worn devices afford convenient and unobtrusive heart rate sensing, however, motion artifacts can lead to unreliable data recordings. This paper evaluates heart rate estimates acquired during treadmill walking and 12 hours of everyday living fro... Read More about Poster: Heart Rate Performance of a Medical-Grade Data Streaming Wearable Device.

Poster: Heart Rate Performance of a Medical-Grade Data Streaming Wearable Device (2020)
Presentation / Conference
Rukasha, T., Woolley, S., & Collins, T. (2020, December). Poster: Heart Rate Performance of a Medical-Grade Data Streaming Wearable Device. Poster presented at 2020 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), Crystal City, VA, USA

Wrist-worn devices afford convenient and unobtrusive heart rate sensing, however, motion artifacts can lead to unreliable data recordings. This paper evaluates heart rate estimates acquired during treadmill walking and 12 hours of everyday living fro... Read More about Poster: Heart Rate Performance of a Medical-Grade Data Streaming Wearable Device.

Evaluating the Usability of an e-Learning Platform within Higher Education from a Student Perspective (2019)
Presentation / Conference
De Quincey. (2019, November). Evaluating the Usability of an e-Learning Platform within Higher Education from a Student Perspective. Presented at 3rd International Conference on Education and E-Learning (ICEEL 2019)., Barcelona

With the advancement in information technologies, e-learning has become an integral part of the modern higher education system. As part of this progression, Universities have increasingly adopted Virtual Learning Environments (VLE) that enable learne... Read More about Evaluating the Usability of an e-Learning Platform within Higher Education from a Student Perspective.

Towards visualising change-based models (2019)
Presentation / Conference
(2019, September). Towards visualising change-based models. Presented at ME 2019 : Models and Evolution Workshop, Munich, Germany

This paper extends our previous work on change-based model persistence and demonstrates a tool that can replay the construction change-based model. The tool takes a change-based persistence file as input and plays it in the form of evolving diagrams... Read More about Towards visualising change-based models.

Improved Lifelog Ego-centric Video Summarization Using Ensemble of Deep Learned Object Features (2019)
Presentation / Conference
Mandal, B., & Mainwaring, P. (2019, September). Improved Lifelog Ego-centric Video Summarization Using Ensemble of Deep Learned Object Features. Presented at 30th British Machine Vision Conference, Cardiff

The ImageCLEF 2017 lifelog summarization challenge [10, 12] was established to develop a benchmark for summarizing egocentric lifelogging videos based on our daily activities, such as ‘commute to work’ or ‘cooking at home’. In this paper, we propose... Read More about Improved Lifelog Ego-centric Video Summarization Using Ensemble of Deep Learned Object Features.

Enhanced Deep Video Summarization Network (2019)
Presentation / Conference
Gonuguntla, N., Mandal, B., & Puhan, N. (2019, September). Enhanced Deep Video Summarization Network. Paper presented at 30th British Machine Vision Conference, Cardiff

Video summarization is understanding video which aims to get an abstract view of the original video sequence by the concatenation of keyframes representing the highlights of the video. In this work, we propose an enhanced deep summarization network (... Read More about Enhanced Deep Video Summarization Network.

SBOL Visual 2 Ontology (2019)
Presentation / Conference
Misirli, G. (2019, July). SBOL Visual 2 Ontology. Presented at 11th International Workshop on Bio-Design Automation (IWBDA 2019), Cambridge

Conference paper.

Receiver Design Using Genetic Circuits in Molecular Communication (2019)
Presentation / Conference
Misirli. (2019, April). Receiver Design Using Genetic Circuits in Molecular Communication. Presented at 4th workshop on Molecular Communications, Linz, Austria

Understanding the dynamics of molecular communications between cells and intracellular response is crucial to create predictable cellular applications. When the propagation mechanism is diffusion based, the arrival histogram of molecules becomes heav... Read More about Receiver Design Using Genetic Circuits in Molecular Communication.