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All Outputs (100)

Towards Blockchain-based Ride-sharing Systems (2021)
Presentation / Conference Contribution
Vazquez, E., & Landa-Silva, D. (2021, February). Towards Blockchain-based Ride-sharing Systems. Presented at International Conference on Operations Research and Enterprise Systems, Online

Blockchain technology has been used in finance, health care, supply chain, and transport, with the main goals of improving security and eliminating the need for a third party to manage transactions in the system. In blockchain, smart contracts are us... Read More about Towards Blockchain-based Ride-sharing Systems.

Crossing with care: bogs, streams and assistive mobilities as family praxis in the countryside (2021)
Journal Article
Laurier, E., Dunkley, R., Smith, T. A., & Reeves, S. (2021). Crossing with care: bogs, streams and assistive mobilities as family praxis in the countryside. Gesprächsforschung, 22, 544-568

In this paper, we use ethnomethodology, membership categorisation analysis, and conversation analysis (EMCA) to investigate traversing obstacles in outdoor environments as reflexively constitutive of producing, resisting and adjusting family relation... Read More about Crossing with care: bogs, streams and assistive mobilities as family praxis in the countryside.

A self-adaptive multi-objective feature selection approach for classification problems (2021)
Journal Article
Xue, Y., Zhu, H., & Neri, F. (2022). A self-adaptive multi-objective feature selection approach for classification problems. Integrated Computer-Aided Engineering, 29(1), 3-21. https://doi.org/10.3233/ICA-210664

In classification tasks, feature selection (FS) can reduce the data dimensionality and may also improve classification accuracy, both of which are commonly treated as the two objectives in FS problems. Many meta-heuristic algorithms have been applied... Read More about A self-adaptive multi-objective feature selection approach for classification problems.

Constraint reformulations for set point optimization problems using fuzzy cognitive map models (2021)
Journal Article
Garzón Casado, A., Cano Marchal, P., Wagner, C., Gómez Ortega, J., & Gámez García, J. (2022). Constraint reformulations for set point optimization problems using fuzzy cognitive map models. Optimal Control Applications and Methods, 43(3), 711-721. https://doi.org/10.1002/oca.2846

The selection of optimal set points is an important problem in modern process control. Fuzzy cognitive maps (FCMs) allow to construct models of complex processes using expert knowledge, which is particularly useful in situations where measuring the v... Read More about Constraint reformulations for set point optimization problems using fuzzy cognitive map models.

Generalised Pattern Search with Restarting Fitness Landscape Analysis (2021)
Journal Article
Neri, F. (2022). Generalised Pattern Search with Restarting Fitness Landscape Analysis. SN Computer Science, 3(2), Article 110. https://doi.org/10.1007/s42979-021-00989-8

Fitness landscape analysis for optimisation is a technique that involves analysing black-box optimisation problems to extract pieces of information about the problem, which can beneficially inform the design of the optimiser. Thus, the design of the... Read More about Generalised Pattern Search with Restarting Fitness Landscape Analysis.

A fusion spatial attention approach for few-shot learning (2021)
Journal Article
Song, H., Deng, B., Pound, M., Özcan, E., & Triguero, I. (2022). A fusion spatial attention approach for few-shot learning. Information Fusion, 81, 187-202. https://doi.org/10.1016/j.inffus.2021.11.019

Few-shot learning is a challenging problem in computer vision that aims to learn a new visual concept from very limited data. A core issue is that there is a large amount of uncertainty introduced by the small training set. For example, the few image... Read More about A fusion spatial attention approach for few-shot learning.

Optimal load and energy management of aircraft microgrids using multi-objective model predictive control (2021)
Journal Article
Wang, X., Atkin, J., Bazmohammadi, N., Bozhko, S., & Guerrero, J. M. (2021). Optimal load and energy management of aircraft microgrids using multi-objective model predictive control. Sustainability, 13(24), Article 13907. https://doi.org/10.3390/su132413907

Safety issues related to the electrification of more electric aircraft (MEA) need to be addressed because of the increasing complexity of aircraft electrical power systems and the growing number of safety-critical sub-systems that need to be powered.... Read More about Optimal load and energy management of aircraft microgrids using multi-objective model predictive control.

International data governance for neuroscience (2021)
Journal Article
Eke, D. O., Bernard, A., Bjaalie, J. G., Chavarriaga, R., Hanakawa, T., Hannan, A. J., Hill, S. L., Martone, M. E., McMahon, A., Ruebel, O., Crook, S., Thiels, E., & Pestilli, F. (2022). International data governance for neuroscience. Neuron, 110(4), 600-612. https://doi.org/10.1016/j.neuron.2021.11.017

As neuroscience projects increase in scale and cross international borders, different ethical principles, national and international laws, regulations, and policies for data sharing must be considered. These concerns are part of what is collectively... Read More about International data governance for neuroscience.

Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester (2021)
Journal Article
Akintoye, S., Ogoh, G., Krokida, Z., Nnadi, J., & Eke, D. (2021). Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester. Journal of Information, Communication and Ethics in Society, 19(4), 521-536. https://doi.org/10.1108/jices-06-2021-0071

Purpose
Digital contact tracing technologies are critical to the fight against COVID-19 in many countries including the UK. However, a number of ethical, legal and socio-economic concerns that can affect uptake of the app have been raised. The purpo... Read More about Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester.

EHR STAR: The State-Of-the-Art in Interactive EHR Visualization (2021)
Journal Article
Wang, Q., & Laramee, R. S. (2022). EHR STAR: The State-Of-the-Art in Interactive EHR Visualization. Computer Graphics Forum, 41(1), 69-105. https://doi.org/10.1111/cgf.14424

Since the inception of electronic health records (EHR) and population health records (PopHR), the volume of archived digital health records is growing rapidly. Large volumes of heterogeneous health records require advanced visualization and visual an... Read More about EHR STAR: The State-Of-the-Art in Interactive EHR Visualization.

The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review (2021)
Journal Article
Majid, S., Reeves, S., Figueredo, G., Brown, S., Lang, A., Moore, M., & Morriss, R. (2021). The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review. JMIR Mental Health, 8(12), Article e27991. https://doi.org/10.2196/27991

Background: The number of self-monitoring apps for bipolar disorder (BD) is increasing. The involvement of users in human-computer interaction (HCI) research has a long history and is becoming a core concern for designers working in this space. The a... Read More about The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review.

Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis (2021)
Journal Article
Laparidou, D., Curtis, F., Akanuwe, J., Goher, K., Niroshan Siriwardena, A., & Kucukyilmaz, A. (2021). Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis. Journal of NeuroEngineering and Rehabilitation, 18(1), Article 181. https://doi.org/10.1186/s12984-021-00976-3

Background: In recent years, robotic rehabilitation devices have often been used for motor training. However, to date, no systematic reviews of qualitative studies exploring the end-user experiences of robotic devices in motor rehabilitation have bee... Read More about Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis.

Domain Adaptation of Synthetic Images for Wheat Head Detection (2021)
Journal Article
Hartley, Z. K., & French, A. P. (2021). Domain Adaptation of Synthetic Images for Wheat Head Detection. Plants, 10(12), Article 2633. https://doi.org/10.3390/plants10122633

Wheat head detection is a core computer vision problem related to plant phenotyping that in recent years has seen increased interest as large-scale datasets have been made available for use in research. In deep learning problems with limited training... Read More about Domain Adaptation of Synthetic Images for Wheat Head Detection.

Accessible authentication: Assessing the applicability for users with disabilities (2021)
Journal Article
Furnell, S., Helkala, K., & Woods, N. (2022). Accessible authentication: Assessing the applicability for users with disabilities. Computers and Security, 113, Article 102561. https://doi.org/10.1016/j.cose.2021.102561

Access to the many benefits available from digital technology can often vary depending upon the capabilities and facilities of the individual who is attempting to engage with it. Many digital devices and services require us to be identified and so re... Read More about Accessible authentication: Assessing the applicability for users with disabilities.

Diagnostic utility of artificial intelligence for left ventricular scar identification using cardiac magnetic resonance imaging—A systematic review (2021)
Journal Article
Jathanna, N., Podlasek, A., Sokol, A., Auer, D., Chen, X., & Jamil-Copley, S. (2021). Diagnostic utility of artificial intelligence for left ventricular scar identification using cardiac magnetic resonance imaging—A systematic review. Cardiovascular Digital Health Journal, 2(6), S21-S29. https://doi.org/10.1016/j.cvdhj.2021.11.005

Background: Accurate, rapid quantification of ventricular scar using cardiac magnetic resonance imaging (CMR) carries importance in arrhythmia management and patient prognosis. Artificial intelligence (AI) has been applied to other radiological chall... Read More about Diagnostic utility of artificial intelligence for left ventricular scar identification using cardiac magnetic resonance imaging—A systematic review.

Interval type-2 hesitant fuzzy Entropy-based WASPAS approach for aircraft type selection (2021)
Journal Article
Deveci, M., Öner, S. C., Ciftci, M. E., Özcan, E., & Pamucar, D. (2022). Interval type-2 hesitant fuzzy Entropy-based WASPAS approach for aircraft type selection. Applied Soft Computing, 114, Article 108076. https://doi.org/10.1016/j.asoc.2021.108076

Choosing the most appropriate aircraft type for a given route is one of the crucial issues that the decision makers at airline companies have to address under uncertainty based on various commercial, marketing and operational criteria. A novel multi-... Read More about Interval type-2 hesitant fuzzy Entropy-based WASPAS approach for aircraft type selection.

Response to the Government’s ‘Data: A New Direction’ Consultation (2021)
Other
Chen, J., Dove, E., Edwards, L., Koene, A., McAuley, D., Piskopani, A.-M., & Urquhart, L. Response to the Government’s ‘Data: A New Direction’ Consultation

This submission aims to address a selection of questions formulated in the government’s ‘Data: A New Direction’ consultation document by presenting findings and views based primarily on research undertaken by us, although we have also drawn on public... Read More about Response to the Government’s ‘Data: A New Direction’ Consultation.

Explanations in Autonomous Driving: A Survey (2021)
Journal Article
Omeiza, D., Webb, H., Jirotka, M., & Kunze, L. (2022). Explanations in Autonomous Driving: A Survey. IEEE Transactions on Intelligent Transportation Systems, 23(8), 10142-10162. https://doi.org/10.1109/TITS.2021.3122865

The automotive industry has witnessed an increasing level of development in the past decades; from manufacturing manually operated vehicles to manufacturing vehicles with a high level of automation. With the recent developments in Artificial Intellig... Read More about Explanations in Autonomous Driving: A Survey.

Functional genomics of abiotic environmental adaptation in lacertid lizards and other vertebrates (2021)
Journal Article
Wollenberg Valero, K. C., Garcia‐Porta, J., Irisarri, I., Feugere, L., Bates, A., Kirchhof, S., Jovanović Glavaš, O., Pafilis, P., Samuel, S. F., Müller, J., Vences, M., Turner, A. P., Beltran‐Alvarez, P., & Storey, K. B. (2022). Functional genomics of abiotic environmental adaptation in lacertid lizards and other vertebrates. Journal of Animal Ecology, 91(6), 1163-1179. https://doi.org/10.1111/1365-2656.13617

1. Understanding the genomic basis of adaptation to different abiotic environments is important in the context of climate change and resulting short-term environmental fluctuations.
2. Using functional and comparative genomics approaches, we here i... Read More about Functional genomics of abiotic environmental adaptation in lacertid lizards and other vertebrates.