All Outputs (71)

Convolutional feature extraction for process monitoring using ultrasonic sensors (2021)
Journal Article
Bowler, A., Pound, M., & Watson, N. (2021). Convolutional feature extraction for process monitoring using ultrasonic sensors. Computers and Chemical Engineering, 155, Article 107508. https://doi.org/10.1016/j.compchemeng.2021.107508

Ultrasonic sensors are a low-cost and in-line technique and can be combined with machine learning for industrial process monitoring. However, training accurate machine learning models for process monitoring using sensor data is dependant on the featu... Read More about Convolutional feature extraction for process monitoring using ultrasonic sensors.

Beyond global and local multi-target learning (2021)
Journal Article
Basgalupp, M., Cerri, R., Schietgat, L., Triguero, I., & Vens, C. (2021). Beyond global and local multi-target learning. Information Sciences, 579, 508-524. https://doi.org/10.1016/j.ins.2021.08.022

In multi-target prediction, an instance has to be classified along multiple target variables at the same time, where each target represents a category or numerical value. There are several strategies to tackle multi-target prediction problems: the lo... Read More about Beyond global and local multi-target learning.

An empirical analysis of the information security culture key factors framework (2021)
Journal Article
Tolah, A., Furnell, S. M., & Papadaki, M. (2021). An empirical analysis of the information security culture key factors framework. Computers and Security, 108, Article 102354. https://doi.org/10.1016/j.cose.2021.102354

Information security is a challenge facing organisations, as security breaches pose a serious threat to sensitive information. Organisations face security risks in relation to their information assets, which may also stem from their own employees. Or... Read More about An empirical analysis of the information security culture key factors framework.

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion (2021)
Journal Article
Sanchez, S., Rengasamy, D., Hyde, C. J., Figueredo, G. P., & Rothwell, B. (2021). Machine learning to determine the main factors affecting creep rates in laser powder bed fusion. Journal of Intelligent Manufacturing, 32(8), 2353–2373. https://doi.org/10.1007/s10845-021-01785-0

There is an increasing need for the use of additive manufacturing (AM) to produce improved critical application engineering components. However, the materials manufactured using AM perform well below their traditionally manufactured counterparts, par... Read More about Machine learning to determine the main factors affecting creep rates in laser powder bed fusion.

Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review (2021)
Journal Article
He, Y., Aliyu, A., Evans, M., & Luo, C. (2021). Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review. Journal of Medical Internet Research, 23(4), Article e21747. https://doi.org/10.2196/21747

Background: COVID-19 has challenged the resilience of the health care information system, which has affected our ability to achieve the global goal of health and well-being. The pandemic has resulted in a number of recent cyberattacks on hospitals, p... Read More about Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review.

Generalised Pattern Search Based on Covariance Matrix Diagonalisation (2021)
Journal Article
Neri, F., & Rostami, S. (2021). Generalised Pattern Search Based on Covariance Matrix Diagonalisation. SN Computer Science, 2, Article 171. https://doi.org/10.1007/s42979-021-00513-y

Pattern Search is a family of gradient-free direct search methods for numerical optimisation problems. The characterising feature of pattern search methods is the use of multiple directions spanning the problem domain to sample new candidate solution... Read More about Generalised Pattern Search Based on Covariance Matrix Diagonalisation.

Text Data Augmentations: Permutation, Antonyms and Negation (2021)
Journal Article
Haralabopoulos, G., Torres, M. T., Anagnostopoulos, I., & McAuley, D. (2021). Text Data Augmentations: Permutation, Antonyms and Negation. Expert Systems with Applications, 177, Article 114769. https://doi.org/10.1016/j.eswa.2021.114769

Text has traditionally been used to train automated classifiers for a multitude of purposes, such as: classification, topic modelling and sentiment analysis. State-of-the-art LSTM classifier require a large number of training examples to avoid biases... Read More about Text Data Augmentations: Permutation, Antonyms and Negation.

Teaching Mathematics to Computer Scientists: Reflections and a Case Study (2021)
Journal Article
Neri, F. (2021). Teaching Mathematics to Computer Scientists: Reflections and a Case Study. SN Computer Science, 2(2), Article 75. https://doi.org/10.1007/s42979-021-00461-7

Mathematics, despite being the foundation of computer science, is nowadays often considered a totally separate subject. The fact that many jobs in computer science do not explicitly require any specific mathematical knowledge posed questions about th... Read More about Teaching Mathematics to Computer Scientists: Reflections and a Case Study.

Exploring touch-based behavioral authentication on smartphone email applications in IoT-enabled smart cities (2021)
Journal Article
Li, W., Meng, W., & Furnell, S. (2021). Exploring touch-based behavioral authentication on smartphone email applications in IoT-enabled smart cities. Pattern Recognition Letters, 144, 35-41. https://doi.org/10.1016/j.patrec.2021.01.019

© 2021 Elsevier B.V. The Internet of Things (IoT) allows various embedded devices and smart sensors to be connected with each other, which provides a basis for building smart cities. The IoT-enabled smart city can greatly benefit people's daily lives... Read More about Exploring touch-based behavioral authentication on smartphone email applications in IoT-enabled smart cities.

The impact of algorithmic decision-making processes on young people’s well-being (2021)
Journal Article
Perez Vallejos, E., Dowthwaite, L., Creswick, H., Portillo, V., Koene, A., Jirotka, M., …McAuley, D. (2021). The impact of algorithmic decision-making processes on young people’s well-being. Health Informatics Journal, 27(1), 1-21. https://doi.org/10.1177/1460458220972750

This study aims to capture the online experiences of young people when interacting with algorithm mediated systems and their impact on their well-being. We draw on qualitative (focus groups) and quantitative (survey) data from a total of 260 young pe... Read More about The impact of algorithmic decision-making processes on young people’s well-being.

A framework for differentiation in composed digital-physical products (2020)
Journal Article
Baumers, M., Ashcroft, I., Benford, S., Flintham, M., Koleva, B., Tóth, Z., & Winklhofer, H. (2020). A framework for differentiation in composed digital-physical products. International Journal of Mechatronics and Manufacturing Systems, 13(4), 286-298. https://doi.org/10.1504/IJMMS.2020.112351

Product-service systems (PSS) composed of physical products and digital services are emerging as an important new product category. In this paper we suggest that the established metaphor of 'layering' is insufficient to capture the diverse ways in wh... Read More about A framework for differentiation in composed digital-physical products.

Pulling Back the Curtain on the Wizards of Oz (2020)
Journal Article
Porcheron, M., Fischer, J. E., & Reeves, S. (2020). Pulling Back the Curtain on the Wizards of Oz. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW3), Article 243. https://doi.org/10.1145/3432942

The Wizard of Oz method is an increasingly common practice in HCI and CSCW studies as part of iterative design processes for interactive systems. Instead of designing a fully-fledged system, the 'technical work' of key system components is completed... Read More about Pulling Back the Curtain on the Wizards of Oz.

Posture, movement, and aircraft passengers: An investigation into factors influencing in-flight discomfort (2020)
Journal Article
Sharafkhani, M., Argyle, E., Cobb, S., & Tennent, P. (2021). Posture, movement, and aircraft passengers: An investigation into factors influencing in-flight discomfort. WORK: A Journal of Prevention, Assessment & Rehabilitation, 68(s1), S183-S195. https://doi.org/10.3233/wor-208016

BACKGROUND: Aircraft passengers’ physical activity levels are often limited during flight for extended periods of time, which can have serious impact on health, comfort, and passenger experience. However, several factors, such as limited personal spa... Read More about Posture, movement, and aircraft passengers: An investigation into factors influencing in-flight discomfort.

Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis (2020)
Journal Article
Chernbumroong, S., Johnson, J., Gupta, N., Miller, S., Mccormack, F. X., Garibaldi, J. M., & Johnson, S. R. (2021). Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis. European Respiratory Journal, 57(6), Article 2003036. https://doi.org/10.1183/13993003.03036-2020

Background: Lymphangioleiomyomatosis (LAM) is a rare multisystem disease with variable clinical manifestations and differing rates of progression that make management decisions and giving prognostic advice difficult. We used machine learning to ident... Read More about Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis.

Contesting control: journeys through surrender, self-awareness and looseness of control in embodied interaction (2020)
Journal Article
Benford, S., Ramchurn, R., Marshall, J., Wilson, M. L., Pike, M., Martindale, S., …Walker, B. (2021). Contesting control: journeys through surrender, self-awareness and looseness of control in embodied interaction. Human-Computer Interaction, 36(5-6), 361-389. https://doi.org/10.1080/07370024.2020.1754214

As Human-Computer Interaction (HCI) engages with technologies that sense and actuate the body, there is a need to reconsider the human bodily experience. We present three case studies that each involve different forms of bodily experience: a breath-c... Read More about Contesting control: journeys through surrender, self-awareness and looseness of control in embodied interaction.

An Adaptive Optimization Spiking Neural P System for Binary Problems (2020)
Journal Article
Zhu, M., Yang, Q., Dong, J., Zhang, G., Gou, X., Rong, H., …Neri, F. (2021). An Adaptive Optimization Spiking Neural P System for Binary Problems. International Journal of Neural Systems, 31(1), Article 2050054. https://doi.org/10.1142/S0129065720500549

© 2020 World Scientific Publishing Company. Optimization Spiking Neural P System (OSNPS) is the first membrane computing model to directly derive an approximate solution of combinatorial problems with a specific reference to the 0/1 knapsack problem.... Read More about An Adaptive Optimization Spiking Neural P System for Binary Problems.

Decomposition-Fusion for Label Distribution Learning (2020)
Journal Article
González, M., González-Almagro, G., Triguero, I., Cano, J.-R., & García, S. (2021). Decomposition-Fusion for Label Distribution Learning. Information Fusion, 66, 64-75. https://doi.org/10.1016/j.inffus.2020.08.024

Label Distribution Learning (LDL) is a general learning framework that assigns an instance to a distribution over a set of labels rather than to a single label or multiple labels. Current LDL methods have proven their effectiveness in many real-life... Read More about Decomposition-Fusion for Label Distribution Learning.

Designing Hybrid Gifts (2020)
Journal Article
Koleva, B., Spence, J., Benford, S., Kwon, H., Schnädelbach, H., Thorn, E., …Lane, G. (2020). Designing Hybrid Gifts. ACM Transactions on Computer-Human Interaction, 27(5), 1–33. https://doi.org/10.1145/3398193

Hybrid gifting combines physical artefacts and experiences with digital interactivity to generate new kinds of gifts. Our review details how gifting is a complex social phenomenon and how digital gifting is less engaging than physical gifting for bot... Read More about Designing Hybrid Gifts.

Exact and hyper‐heuristic solutions for the distribution‐installation problem from the VeRoLog 2019 challenge (2020)
Journal Article
Kheiri, A., Ahmed, L., Boyacı, B., Gromicho, J., Mumford, C., Özcan, E., & Dirikoç, A. S. (2020). Exact and hyper‐heuristic solutions for the distribution‐installation problem from the VeRoLog 2019 challenge. Networks, 76(2), 294-319. https://doi.org/10.1002/net.21962

This work tackles a rich vehicle routing problem (VRP) problem integrating a capacitated vehicle routing problem with time windows (CVRPTW), and a service technician routing and scheduling problem (STRSP) for delivering various equipment based on cus... Read More about Exact and hyper‐heuristic solutions for the distribution‐installation problem from the VeRoLog 2019 challenge.

Positioning the Root Elongation Zone Is Saltatory and Receives Input from the Shoot (2020)
Journal Article
Baskin, T. I., Preston, S., Zelinsky, E., Yang, X., Elmali, M., Bellos, D., …Bennett, M. J. (2020). Positioning the Root Elongation Zone Is Saltatory and Receives Input from the Shoot. iScience, 23(7), Article 101309. https://doi.org/10.1016/j.isci.2020.101309

In the root, meristem and elongation zone lengths remain stable, despite growth and division of cells. To gain insight into zone stability, we imaged individual Arabidopsis thaliana roots through a horizontal microscope, and used image analysis to ob... Read More about Positioning the Root Elongation Zone Is Saltatory and Receives Input from the Shoot.