All Outputs (25)

HFL-GAN: scalable hierarchical federated learning GAN for high quantity heterogeneous clients (2024)
Journal Article
Petch, L., Moustafa, A., Ma, X., & Yasser, M. (2025). HFL-GAN: scalable hierarchical federated learning GAN for high quantity heterogeneous clients. Applied Intelligence, 55(2), Article 170. https://doi.org/10.1007/s10489-024-05924-x

This paper introduces a novel approach for training generative adversarial networks using federated machine learning. Generative adversarial networks have gained plenty of attention in the research community especially with their abilities to produce... Read More about HFL-GAN: scalable hierarchical federated learning GAN for high quantity heterogeneous clients.

Redefining Digital Twins - A Wind Energy Operations and Maintenance Perspective (2024)
Presentation / Conference Contribution
Tuton, E., Ma, X., & Dethlefs, N. (2024, May). Redefining Digital Twins - A Wind Energy Operations and Maintenance Perspective. Presented at The Science of Making Torque from Wind (TORQUE 2024), Florence, Italy

Digital Twin (DT) technology has seen an explosion in popularity, with wind energy no exception. This is particularly true for Operations & Maintenance (O&M) applications. However, this expanded use has been accompanied by loose, conflicting, definit... Read More about Redefining Digital Twins - A Wind Energy Operations and Maintenance Perspective.

Intelligent digital twin - machine learning system for real-time wind turbine wind speed and power generation forecasting (2023)
Presentation / Conference Contribution
Tuton, E., Ma, X., & Dethlefs, N. (2023, August). Intelligent digital twin - machine learning system for real-time wind turbine wind speed and power generation forecasting. Presented at The 6th International Conference on Renewable Energy and Environment Engineering REEE 2023, Brest , France

Wind power is a key pillar in efforts to decarbonise energy production. However, variability in wind speed and resultant wind turbine power generation poses a challenge for power grid integration. Digital Twin (DT) technology provides intelligent ser... Read More about Intelligent digital twin - machine learning system for real-time wind turbine wind speed and power generation forecasting.

Patient specific training: development of a CT-based mixed reality fibreoptic intubation simulator (2022)
Journal Article
Wright, D., Ma, X., Atkin, W., Wang, L., Fagan, M., & Wellbelove, Z. (2022). Patient specific training: development of a CT-based mixed reality fibreoptic intubation simulator. International Journal of Healthcare Simulation, 2(1), A86. https://doi.org/10.54531/QOJS8275

Fibreoptic intubation training has traditionally been performed using real fibreoptic scopes and manikins or improvised airway ‘boxes’, recently progressing to virtual reality training devices [1]. The latter are populated with computer generated ima... Read More about Patient specific training: development of a CT-based mixed reality fibreoptic intubation simulator.

A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease (2020)
Presentation / Conference Contribution
Rana, S. S., Ma, X., Pang, W., & Wolverson, E. (2020, December). A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease. Presented at 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Leicester, United Kingdom

Mild cognitive impairment (MCI) has been described as the intermediary stage before Alzheimer's Disease - many people however remain stable or even demonstrate improvement in cognition. Early detection of progressive MCI (pMCI) therefore can be utili... Read More about A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease.

GANS-based data augmentation for citrus disease severity detection using deep learning (2020)
Journal Article
Zeng, Q., Ma, X., Cheng, B., Zhou, E., & Pang, W. (2020). GANS-based data augmentation for citrus disease severity detection using deep learning. IEEE Access, 8, 172882-172891. https://doi.org/10.1109/ACCESS.2020.3025196

Recently, many Deep Learning models have been employed to classify different kinds of plant diseases, but very little work has been done for disease severity detection. However, it is more important to master the severities of plant diseases accurate... Read More about GANS-based data augmentation for citrus disease severity detection using deep learning.

A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth (2019)
Journal Article
Pinheiro, M., Ma, X., Fagan, M. J., McIntyre, G. T., Lin, P., Sivamurthy, G., & Mossey, P. A. (2019). A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth. Journal of Biological Engineering, 13(1), https://doi.org/10.1186/s13036-019-0171-6

© 2019 The Author(s). Background: Cephalometric analysis is used to evaluate facial growth, to study the anatomical relationships within the face. Cephalometric assessment is based on 2D radiographic images, either the sagittal or coronal planes and... Read More about A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth.

Towards additive manufacturing oriented geometric modeling using implicit functions (2018)
Journal Article
Li, Q., Hong, Q., Qi, Q., Ma, X., Han, X., & Tian, J. (2018). Towards additive manufacturing oriented geometric modeling using implicit functions. Visual Computing for Industry, Biomedicine, and Art, 1(1), Article 9. https://doi.org/10.1186/s42492-018-0009-y

Surface-based geometric modeling has many advantages in terms of visualization and traditional subtractive manufacturing using computer-numerical-control cutting-machine tools. However, it is not an ideal solution for additive manufacturing because t... Read More about Towards additive manufacturing oriented geometric modeling using implicit functions.

Surface fitting for quasi scattered data from coordinate measuring systems (2018)
Journal Article
Mao, Q., Liu, S., Wang, S., & Ma, X. (2018). Surface fitting for quasi scattered data from coordinate measuring systems. Sensors, 18(1), 214. https://doi.org/10.3390/s18010214

Non-uniform rational B-spline (NURBS) surface fitting from data points is wildly used in the fields of computer aided design (CAD), medical imaging, cultural relic representation and object-shape detection. Usually, the measured data acquired from co... Read More about Surface fitting for quasi scattered data from coordinate measuring systems.

T-spline based unifying registration procedure for free-form surface workpieces in intelligent CMM (2017)
Journal Article
Han, Z., Wang, Y., Ma, X., Liu, S., Zhang, X., & Zhang, G. (2017). T-spline based unifying registration procedure for free-form surface workpieces in intelligent CMM. Applied Sciences, 7(10), 1092. https://doi.org/10.3390/app7101092

With the development of the modern manufacturing industry, the free-form surface is widely used in various fields, and the automatic detection of a free-form surface is an important function of future intelligent three-coordinate measuring machines (... Read More about T-spline based unifying registration procedure for free-form surface workpieces in intelligent CMM.

Digital three-dimensional automation of the modified Huddart and Bodenham scoring system for patients with cleft lip and palate (2017)
Presentation / Conference Contribution
Ma, X., Martin, C., McIntyre, G., Lin, P., & Mossey, P. Digital three-dimensional automation of the modified Huddart and Bodenham scoring system for patients with cleft lip and palate

© Copyright 2017 American Cleft Palate-Craniofacial Association. Objective: The modified Huddart and Bodenham scoring system assesses maxillary arch constriction and surgical outcomes in cleft lip and palate. This project automates modified Huddart a... Read More about Digital three-dimensional automation of the modified Huddart and Bodenham scoring system for patients with cleft lip and palate.

The validity and reliability of an automated method of scoring dental arch relationships in unilateral cleft lip and palate using the modified Huddart-Bodenham scoring system (2016)
Journal Article
Martin, C. B., Ma, X., McIntyre, G. T., Wang, W., Lin, P., Chalmers, E. V., & Mossey, P. A. (2016). The validity and reliability of an automated method of scoring dental arch relationships in unilateral cleft lip and palate using the modified Huddart-Bodenham scoring system. European Journal of Orthodontics, 38(4), 353-358. https://doi.org/10.1093/ejo/cjw031

Objective: To evaluate an automated software tool for the assessment of dental arch relationships using the modified Huddart and Bodenham index. Design: Cohort of 43 models of subjects aged 9-21 with UCLP and the ten GOSLON reference models sets. Met... Read More about The validity and reliability of an automated method of scoring dental arch relationships in unilateral cleft lip and palate using the modified Huddart-Bodenham scoring system.

Subdivision surface fitting to a dense mesh using ridges and umbilics (2014)
Journal Article
Ma, X., Keates, S., Jiang, Y., & Kosinka, J. (2015). Subdivision surface fitting to a dense mesh using ridges and umbilics. Computer aided geometric design, 32(January), 5-21. https://doi.org/10.1016/j.cagd.2014.10.001

Fitting a sparse surface to approximate vast dense data is of interest for many applications: reverse engineering, recognition and compression, etc. The present work provides an approach to fit a Loop subdivision surface to a dense triangular mesh of... Read More about Subdivision surface fitting to a dense mesh using ridges and umbilics.

Non-uniform order mixed FEM approximation: Implementation, post-processing, computable error bound and adaptivity (2011)
Journal Article
Ainsworth, M., & Ma, X. (2012). Non-uniform order mixed FEM approximation: Implementation, post-processing, computable error bound and adaptivity. Journal of Computational Physics, 231(2), 436-453. https://doi.org/10.1016/j.jcp.2011.09.011

The present work provides a straightforward and focused set of tools and corresponding theoretical support for the implementation of an adaptive high order finite element code with guaranteed error control for the approximation of elliptic problems i... Read More about Non-uniform order mixed FEM approximation: Implementation, post-processing, computable error bound and adaptivity.

Shape preserving data reduction for 3D surface points (2011)
Journal Article
Ma, X., & Cripps, R. J. (2011). Shape preserving data reduction for 3D surface points. Computer aided design, 43(8), 902-909. https://doi.org/10.1016/j.cad.2011.03.006

In reverse engineering, vast amounts of point data captured by certain types of scanners significantly increase the complexity and reduce the efficiency in downstream activities, such as surface modelling and manufacturing. Data reduction has therefo... Read More about Shape preserving data reduction for 3D surface points.

Estimation of end curvatures from planar point data (2007)
Book Chapter
Ma, X., & Cripps, R. J. (2007). Estimation of end curvatures from planar point data. In R. Martin, M. Sabin, & J. Winkler (Eds.), . Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-73843-5_19

Given a string of discrete planar points, the estimation of principal curvature vectors using circle fitting and Richardson’s extrapolation principle has been considered by several authors. However, these methods can not be directly applied to end po... Read More about Estimation of end curvatures from planar point data.

The Visualization System of CAD Drawing Workpiece (2003)
Journal Article
Nayonglin, Ma, X., Liu, S., & Zhang, G. (2003). The Visualization System of CAD Drawing Workpiece. Computer Simulation, 20(10), 102-104. https://doi.org/10.3969/j.issn.1006-9348.2003.10.034

This paper presents a visualization system that can complete the visualization process of CAD drawing workpieces. It introduces the four main functional modules of the visualization system: IGES file extraction and recognition, 3D reconstruction, gra... Read More about The Visualization System of CAD Drawing Workpiece.

Measuring information integration model for CAD/CMM (2003)
Journal Article
Ma, X., Zhang, G., Liu, S., & Wang, X. (2003). Measuring information integration model for CAD/CMM. Chinese Journal of Mechanical Engineering, 16(1), 59-61. https://doi.org/10.3901/cjme.2003.01.059

A CAD/CMM workpiece modeling system based on IGES file is proposed. The modeling system is implemented by using a method of labelling the tolerance items of 3D workpiece. The concept-feature face is used in the method. Firstly the CAD data of workpie... Read More about Measuring information integration model for CAD/CMM.

Automatic Recognition for the Position and Orientation of Parts in Intelligent CMMs (2003)
Journal Article
Ma, X. (2003). Automatic Recognition for the Position and Orientation of Parts in Intelligent CMMs. Yi qi yi biao xue bao = Chinese journal of scientific instrument, 24(2), 165-170. https://doi.org/10.3321/j.issn%3A0254-3087.2003.02.015

A method for automatic recognition of the position and orientation of parts based on machine vision and CAD 3D model is proposed Virtual image matching is used to confirm the position and orientation of the part By perspective imagery,virtual images... Read More about Automatic Recognition for the Position and Orientation of Parts in Intelligent CMMs.

Towards the intelligent CMM (2002)
Journal Article
Zhang, G. X., Liu, S. G., Ma, X. H., Wang, J. L., Wu, Y. Q., & Li, Z. (2002). Towards the intelligent CMM. CIRP Annals - Manufacturing Technology, 51(1), 437-442. https://doi.org/10.1016/S0007-8506%2807%2961555-8

'Intelligent' CMMs are likely to become the next generation of CMMs. In this paper the main features of an intelligent CMM are proposed. In operation, the geometric and measuring information of the part would be extracted from its CAD file. A measuri... Read More about Towards the intelligent CMM.