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Smart, social, flexible and fun: Escaping the flatlands of virtual learning environments (2019)
Journal Article
Brayshaw, M., Gordon, N. A., & Grey, S. (2019). Smart, social, flexible and fun: Escaping the flatlands of virtual learning environments. Advances in Intelligent Systems and Computing, 998, 1047-1060. https://doi.org/10.1007/978-3-030-22868-2_70

© 2019, Springer Nature Switzerland AG. This paper describes the development of intelligent, social, flexible and game-based pedagogic approaches and their applications in Virtual Learning Environment based Education. Applications of computer science... Read More about Smart, social, flexible and fun: Escaping the flatlands of virtual learning environments.

Interpretable emotion recognition using EEG signals (2019)
Journal Article
Qing, C., Qiao, R., Xu, X., & Cheng, Y. (2019). Interpretable emotion recognition using EEG signals. IEEE access : practical innovations, open solutions, 7, 94160-94170. https://doi.org/10.1109/access.2019.2928691

Electroencephalogram (EEG) signal-based emotion recognition has attracted wide interests in recent years and has been broadly adopted in medical, affective computing, and other relevant fields. However, the majority of the research reported in this f... Read More about Interpretable emotion recognition using EEG signals.

A new smart mobile system for chronic wound care management (2018)
Journal Article
Wang, S., Zhang, Q., Huang, W., Tian, H., Hu, J., Cheng, Y., & Peng, Y. (2018). A new smart mobile system for chronic wound care management. IEEE access : practical innovations, open solutions, 6, 52355-52365. https://doi.org/10.1109/access.2018.2864264

Nonhealing wounds pose a major challenge in clinical medicine. Typical chronic wounds, such as diabetic foot ulcers and venous leg ulcers, have brought substantial difficulties to millions of patients around the world. The management of chronic wound... Read More about A new smart mobile system for chronic wound care management.

DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values (2019)
Journal Article
Wang, Q., Cao, W., Guo, J., Ren, J., Cheng, Y., & Davis, D. N. (2019). DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values. IEEE access : practical innovations, open solutions, 7, 102232-102238. https://doi.org/10.1109/access.2019.2929866

As a widely known chronic disease, diabetes mellitus is called a silent killer. It makes the body produce less insulin and causes increased blood sugar, which leads to many complications and affects the normal functioning of various organs, such as e... Read More about DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values.

A clustering based transfer function for volume rendering using gray-gradient mode histogram (2019)
Journal Article
Lan, Y., Ding, Y., Luo, X., Zhang, Y., Huang, C., Ng, E., …Che, W. (2019). A clustering based transfer function for volume rendering using gray-gradient mode histogram. IEEE access : practical innovations, open solutions, 7, 80737-80747. https://doi.org/10.1109/access.2019.2923080

Volume rendering is an emerging technique widely used in the medical field to visualize human organs using tomography image slices. In volume rendering, sliced medical images are transformed into attributes, such as color and opacity through transfer... Read More about A clustering based transfer function for volume rendering using gray-gradient mode histogram.

Is green IT an antidote to e-waste problems? (2010)
Journal Article
Nganji, J., & Brayshaw, M. (2010). Is green IT an antidote to e-waste problems?. Innovation in teaching and learning in information and computer sciences, 9(2), 1-9. https://doi.org/10.11120/ital.2010.09020006

Man’s negative impact on the environment due to various activities has raised serious concerns with numerous campaigns rising to protect the environment. Computer waste also contributes to damaging not only the environment, but has serious consequenc... Read More about Is green IT an antidote to e-waste problems?.

Performance evaluation and design for variable threshold alarm systems through semi-Markov process (2019)
Journal Article
Aslansefat, K., Bahar Gogani, M., Kabir, S., Shoorehdeli, M. A., & Yari, M. (in press). Performance evaluation and design for variable threshold alarm systems through semi-Markov process. ISA Transactions, https://doi.org/10.1016/j.isatra.2019.08.015

In large industrial systems, alarm management is one of the most important issues to improve the safety and efficiency of systems in practice. Operators of such systems often have to deal with a numerous number of simultaneous alarms. Different kinds... Read More about Performance evaluation and design for variable threshold alarm systems through semi-Markov process.

The quintic Grassmannian g(1,4,2) in PG(9,2) (2004)
Journal Article
Shaw, R., & Gordon, N. (2004). The quintic Grassmannian g(1,4,2) in PG(9,2). Designs, codes, and cryptography, 32(1-3), 381 - 396. https://doi.org/10.1023...ESI.0000029236.10701.61

The 155 points of the Grassmannian g(1,4,2) of lines of PG(4,2) = PV(5,2) are those points x is an element of PG(9,2) = P(boolean AND V-2(5,2)) which satisfy a certain quintic equation Q(x) = 0. (The quintic polynomial Q is given explicitly in Shaw a... Read More about The quintic Grassmannian g(1,4,2) in PG(9,2).

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...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.

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