Outputs (80)

Localized Bulging Of Rotating Elastic Cylinders And Tubes (2017)
Journal Article
Fu, Y. (2017). Localized Bulging Of Rotating Elastic Cylinders And Tubes. Journal of Mechanics of Materials and Structures, 545 - 561. https://doi.org/10.2140/jomms.2017.12.545

We investigate axially symmetric localized bulging of an incompressible hyperelastic circular solid cylinder or tube that is rotating about its axis of symmetry with angular velocity ?. For such a solid cylinder, the homogeneous primary deformation i... Read More about Localized Bulging Of Rotating Elastic Cylinders And Tubes.

Modelling slight compressibility for hyperelastic anisotropic materials (2017)
Journal Article
(2017). Modelling slight compressibility for hyperelastic anisotropic materials. Journal of Elasticity, 171-181. https://doi.org/10.1007/s10659-017-9650-5

In order to avoid the numerical difficulties in locally enforcing the incompressibility constraint using the displacement formulation of the Finite Element Method, slight compressibility is typically assumed when simulating the mechanical response of... Read More about Modelling slight compressibility for hyperelastic anisotropic materials.

Using supervised machine learning algorithms to detect suspicious URLs in online social networks (2017)
Presentation / Conference Contribution
Al-Janabi, M., de Quincey, E., & Andras, P. (2017, August). Using supervised machine learning algorithms to detect suspicious URLs in online social networks. Presented at International Symposium on Foundations of Open Source Intelligence and Security Informatics, Sydney

A standard-enabled workflow for synthetic biology. (2017)
Journal Article
Mısırlı, G., Nguyen, T., Oberortner, E., Samineni, M., Wipat, A., Zhang, M., Zundel, Z., Madsen, C., McLaughlin, J., Myers, C., Beal, J., Gorochowski, T., & Kuwahara, H. (2017). A standard-enabled workflow for synthetic biology. Transactions, 793 - 803. https://doi.org/10.1042/BST20160347

A synthetic biology workflow is composed of data repositories that provide information about genetic parts, sequence-level design tools to compose these parts into circuits, visualization tools to depict these designs, genetic design tools to select... Read More about A standard-enabled workflow for synthetic biology..

Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies (2017)
Book Chapter
(2017). Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies. In EASE '17: Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE'17) (128-133). https://doi.org/10.1145/3084226.3084283

Background:: Statistical validity and model complexity are both important concepts to enhanced understanding and correctness assessment of computational models. However, information about these are often missing from publications applying machine lea... Read More about Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies.

Reporting Statistical Validity and Model Complexity in Computational Studies (2017)
Presentation / Conference
(2017, June). Reporting Statistical Validity and Model Complexity in Computational Studies. Presented at 21st Evaluation and Assessment in Software Engineering Conference (EASE), Blekinge Institute of Technology, Karlskrona, Sweden

Constructing Synthetic Biology Workflows in the Cloud (2017)
Journal Article
Misirli. (2017). Constructing Synthetic Biology Workflows in the Cloud. Engineering Biology, 61-65. https://doi.org/10.1049/enb.2017.0001

The synthetic biology design process has traditionally been heavily dependent upon manual searching, acquisition and integration of existing biological data. A large amount of such data is already available from Internet-based resources, but data exc... Read More about Constructing Synthetic Biology Workflows in the Cloud.

Automatic Feature Learning Method for Detection of Retinal Landmarks (2017)
Presentation / Conference Contribution
Al-Bander, B., Al-Nuaimy, W., Al-Taee, M. A., Al-Ataby, A., & Zheng, Y. (2016, August). Automatic Feature Learning Method for Detection of Retinal Landmarks. Presented at 2016 9th International Conference on Developments in eSystems Engineering (DeSE), Liverpool, United Kingdom

This paper presents an automatic deep learning method for location detection of important retinal landmarks, the fovea and optic disc (OD) in digital fundus retinal images with the potential for use in an automated screening and grading system. The p... Read More about Automatic Feature Learning Method for Detection of Retinal Landmarks.

Visual Augmentation Glasses for People with Impaired Vision (2017)
Presentation / Conference Contribution
Al-Ataby, A., Younis, O., Al-Nuaimy, W., Al-Taee, M., Sharaf, Z., & Al-Bander, B. (2016, August). Visual Augmentation Glasses for People with Impaired Vision. Presented at 2016 9th International Conference on Developments in eSystems Engineering (DeSE), Liverpool, United Kingdom

This paper presents the preliminary design and development of a set visual augmentation glasses with the potential to assist people with varying degrees of loss of vision. The wearable spectacles are intended to be non-obstructive, and therefore empl... Read More about Visual Augmentation Glasses for People with Impaired Vision.

Stable Clustering for Ad-Hoc Vehicle Networking (2017)
Presentation / Conference Contribution
Rossi, G., Fan, Z., Chin, W., & Leung, K. (2017, March). Stable Clustering for Ad-Hoc Vehicle Networking. Presented at IEEE Wireless Communications and Networking Conference, San Francisco, CA, USA

Vehicular ad-hoc networks (VANETs) that enable communication among vehicles and between vehicles and un- manned aerial vehicles (UAVs) and cellular base stations have re- cently attracted significant interest from the research community, due to the w... Read More about Stable Clustering for Ad-Hoc Vehicle Networking.