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Outputs (267)

Interactivity in Linear Diagrams (2021)
Presentation / Conference Contribution
Chapman, P. (2021, September). Interactivity in Linear Diagrams. Presented at Diagrams: International Conference on Theory and Application of Diagrams, Online

Linear diagrams have been shown to be an effective method for representing set-based data. Moreover, design principles have been empirically developed that, when followed, improve the efficacy of linear diagrams. These principles are task-independent... Read More about Interactivity in Linear Diagrams.

Information Literacy Workshops: Trials and tribulations of Public Engagement within a pandemic (2021)
Presentation / Conference Contribution
Brazier, D., Salzano, R., & Ryan, B. (2021, September). Information Literacy Workshops: Trials and tribulations of Public Engagement within a pandemic. Poster presented at European Conference on Information Literacy 2021, Bamberg, Germany

Project Aim: This internally funded Public Engagement| project was aimed at engaging the public of Edinburgh to provide learning opportunities on Information Literacy and online search best practice. Two in-person workshops were organised for March 2... Read More about Information Literacy Workshops: Trials and tribulations of Public Engagement within a pandemic.

Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model (2021)
Journal Article
Rabhi, B., Elbaati, A., Boubaker, H., Hamdi, Y., Hussain, A., & Alimi, A. M. (2021). Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model. Memetic Computing, 13, Article 459-475. https://doi.org/10.1007/s12293-021-00345-6

Online signals are rich in dynamic features such as trajectory chronology, velocity, pressure and pen up/down movements. Their offline counterparts consist of a set of pixels. Thus, online handwriting recognition accuracy is generally better than off... Read More about Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model.

Position Paper (2021)
Presentation / Conference Contribution
Wilson, M. (2021, July). Position Paper. Presented at 17th Workshop on Spoken Dialogue Systems for PhDs, PostDocs & New Researchers, Singapore [Online]

Discrete Human Activity Recognition and Fall Detection by Combining FMCW RADAR Data of Heterogeneous Environments for Independent Assistive Living (2021)
Journal Article
Saeed, U., Shah, S. Y., Shah, S. A., Ahmad, J., Alotaibi, A. A., Althobaiti, T., Ramzan, N., Alomainy, A., & Abbasi, Q. H. (2021). Discrete Human Activity Recognition and Fall Detection by Combining FMCW RADAR Data of Heterogeneous Environments for Independent Assistive Living. Electronics, 10(18), Article 2237. https://doi.org/10.3390/electronics10182237

Human activity monitoring is essential for a variety of applications in many fields, particularly healthcare. The goal of this research work is to develop a system that can effectively detect fall/collapse and classify other discrete daily living act... Read More about Discrete Human Activity Recognition and Fall Detection by Combining FMCW RADAR Data of Heterogeneous Environments for Independent Assistive Living.

Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia (2021)
Journal Article
Almomani, I., Ahmed, M., & Maglaras, L. (2021). Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia. PeerJ Computer Science, 7, Article e703. https://doi.org/10.7717/peerj-cs.703

The Saudi Arabia government has proposed different frameworks such as the CITC’s Cybersecurity Regulatory Framework (CRF) and the NCA’s Essential Cybersecurity Controls (ECC) to ensure data and infrastructure security in all IT-based systems. However... Read More about Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia.

A novel few-shot learning method for synthetic aperture radar image recognition (2021)
Journal Article
Yue, Z., Gao, F., Xiong, Q., Sun, J., Hussain, A., & Zhou, H. (2021). A novel few-shot learning method for synthetic aperture radar image recognition. Neurocomputing, 465, 215-227. https://doi.org/10.1016/j.neucom.2021.09.009

Synthetic aperture radar (SAR) image recognition is an important stage of SAR image interpretation. The standard convolutional neural network (CNN) has been successfully applied in the SAR image recognition due to its powerful feature extraction capa... Read More about A novel few-shot learning method for synthetic aperture radar image recognition.

Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks (2021)
Journal Article
Alissa, M., Lones, M. A., Cosgrove, J., Alty, J. E., Jamieson, S., Smith, S. L., & Vallejo, M. (2022). Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks. Neural Computing and Applications, 34, 1433-1453. https://doi.org/10.1007/s00521-021-06469-7

Parkinson’s disease (PD) is a progressive neurodegenerative disorder that causes abnormal movements and an array of other symptoms. An accurate PD diagnosis can be a challenging task as the signs and symptoms, particularly at an early stage, can be s... Read More about Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks.