Outputs (190)

Eye centre localisation with convolutional neural network based regression (2020)
Conference Proceeding
Zhang, W., & Smith, M. (2020). Eye centre localisation with convolutional neural network based regression. https://doi.org/10.1109/ICIVC47709.2019.8980972

This paper introduces convolutional neural network regression models based on the Inception-v3 and the DenseNet architectures for accurate and real-time eye centre localisation. At a normalised error of e < 0.05, the proposed method yields an accurac... Read More about Eye centre localisation with convolutional neural network based regression.

Design for localisation: A case study in the development and implementation of a low head propeller turbine in Nepal (2020)
Journal Article
Butchers, J., Cox, J., Williamson, S., Booker, J., & Gautam, B. (2020). Design for localisation: A case study in the development and implementation of a low head propeller turbine in Nepal. Development Engineering, 5, Article 100051. https://doi.org/10.1016/j.deveng.2020.100051

This paper proposes a methodology for “design for localisation” that addresses the challenge of designing a product for local manufacture and use, whilst considering the production process availability and the context of the local geographic area. Th... Read More about Design for localisation: A case study in the development and implementation of a low head propeller turbine in Nepal.

Reconsidering laminate nonsymmetry (2020)
Journal Article
O’Donnell, M. P., & Weaver, P. M. (2020). Reconsidering laminate nonsymmetry. AIAA Journal, 58(4), 1811-1820. https://doi.org/10.2514/1.J058751

Nonsymmetric laminates are commonly precluded from composite design due to perceptions of reduced performance arising from in- and out-of-plane coupling. This coupling introduces warpage during cure—leading to raised stresses, together with diminishe... Read More about Reconsidering laminate nonsymmetry.

Mutation spectrum of PRPF31, genotype-phenotype correlation in retinitis pigmentosa, and opportunities for therapy (2020)
Journal Article
Wheway, G., Douglas, A., Baralle, D., & Guillot, E. (2020). Mutation spectrum of PRPF31, genotype-phenotype correlation in retinitis pigmentosa, and opportunities for therapy. Experimental Eye Research, 192, Article 107950. https://doi.org/10.1016/j.exer.2020.107950

Pathogenic variants in pre-messenger RNA (pre-mRNA) splicing factor 31, PRPF31, are the second most common genetic cause of autosomal dominant retinitis pigmentosa (adRP) in most populations. This remains a completely untreatable and incurable form o... Read More about Mutation spectrum of PRPF31, genotype-phenotype correlation in retinitis pigmentosa, and opportunities for therapy.

Optimisation of the internal structure of ceramic membranes for electricity production in urine-fed microbial fuel cells (2020)
Journal Article
Salar-García, M. J., & Ieropoulos, I. (2020). Optimisation of the internal structure of ceramic membranes for electricity production in urine-fed microbial fuel cells. Journal of Power Sources, 451, Article 227741. https://doi.org/10.1016/j.jpowsour.2020.227741

The need to find a feasible alternative to commercial membranes for microbial fuel cells (MFCs) poses an important challenge for the practical implementation of this technology. This work aims to analyse the influence of the internal structure of low... Read More about Optimisation of the internal structure of ceramic membranes for electricity production in urine-fed microbial fuel cells.

A sEMG-based shared control system with no-target obstacle avoidance for omnidirectional mobile robots (2020)
Journal Article
Kong, H., Yang, C., Li, G., & Dai, S. (2020). A sEMG-based shared control system with no-target obstacle avoidance for omnidirectional mobile robots. IEEE Access, 8, 26030-26040. https://doi.org/10.1109/access.2020.2970468

We propose a novel shared control strategy for mobile robots in a human-robot interaction manner based on surface eletromyography (sEMG) signals. For security reasons, an obstacle avoidance scheme is introduced to the shared control system as collisi... Read More about A sEMG-based shared control system with no-target obstacle avoidance for omnidirectional mobile robots.

Active whisker placement and exploration for rapid object recognition (2020)
Conference Proceeding
Pearson, M. J., & Salman, M. (2020). Active whisker placement and exploration for rapid object recognition. https://doi.org/10.1109/iros40897.2019.8968517

© 2019 IEEE. Identifying objects using sparse tactile sensor arrays requires movement across the surface and the integration of sensory information to support hypotheses. In this study we demonstrate a surface placement control strategy to orient and... Read More about Active whisker placement and exploration for rapid object recognition.

The Pre-BRA (pre-pectoral Breast Reconstruction EvAluation) feasibility study: protocol for a mixed-methods IDEAL 2a/2b prospective cohort study to determine the safety and effectiveness of prepectoral implant-based breast reconstruction (2020)
Journal Article
Harvey, K. L., Mills, N., White, P., Holcombe, C., Potter, S., & The Pre-BRA Feasibility Study Steering Group. (2020). The Pre-BRA (pre-pectoral Breast Reconstruction EvAluation) feasibility study: protocol for a mixed-methods IDEAL 2a/2b prospective cohort study to determine the safety and effectiveness of prepectoral implant-based breast reconstruction. BMJ Open, 10(1), e033641. https://doi.org/10.1136/bmjopen-2019-033641

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. INTRODUCTION: Implant-based breast reconstruction is the most commonly performed reconstructive technique worldwide. Subpectoral reconstruction with mesh is the... Read More about The Pre-BRA (pre-pectoral Breast Reconstruction EvAluation) feasibility study: protocol for a mixed-methods IDEAL 2a/2b prospective cohort study to determine the safety and effectiveness of prepectoral implant-based breast reconstruction.

Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods (2020)
Journal Article
Caleb-Solly, P., Gupta, P., & McClatchey, R. (2020). Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods. Neural Computing and Applications, 32(16), 12351 - 12362. https://doi.org/10.1007/s00521-020-04737-6

© 2020, The Author(s). This paper investigates the utility of unsupervised machine learning and data visualisation for tracking changes in user activity over time. This is done through analysing unlabelled data generated from passive and ambient smar... Read More about Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods.

Designing ethical social robots - A longitudinal field study with older adults (2020)
Journal Article
van Maris, A., Zook, N., Caleb-Solly, P., Studley, M., Winfield, A., & Dogramadzi, S. (2020). Designing ethical social robots - A longitudinal field study with older adults. Frontiers in Robotics and AI, 7(1), https://doi.org/10.3389/frobt.2020.00001

Emotional deception and emotional attachment are regarded as ethical concerns in human robot interaction. Considering these concerns is essential, particularly as little is known about longitudinal effects of interactions with social robots. We ran a... Read More about Designing ethical social robots - A longitudinal field study with older adults.