Outputs (36)

Construction of near-optimal vertex clique covering for real-world networks (2015)
Journal Article
Chalupa, D. (2015). Construction of near-optimal vertex clique covering for real-world networks. Computing and Informatics, 34(6), 1397-1417

We propose a method based on combining a constructive and a bounding heuristic to solve the vertex clique covering problem (CCP), where the aim is to partition the vertices of a graph into the smallest number of classes, which induce cliques. Searchi... Read More about Construction of near-optimal vertex clique covering for real-world networks.

Towards sophisticated control of robotic manipulators: An experimental study on a pseudo-industrial arm (2015)
Journal Article
Iqbal, J., Imran Ullah, M., Khan, A. A., & Irfan, M. (2015). Towards sophisticated control of robotic manipulators: An experimental study on a pseudo-industrial arm. Strojniški vestnik - Journal of Mechanical Engineering, 61(7-8), 465-470. https://doi.org/10.5545/sv-jme.2015.2511

Robotic manipulators have reshaped industrial processes. The scientific community has witnessed an ever increasing trend in robots deployed to accomplish various tasks in industry. The complex nature and constrained requirements of robots may demand... Read More about Towards sophisticated control of robotic manipulators: An experimental study on a pseudo-industrial arm.

Stroke rehabilitation using exoskeleton-based robotic exercisers: Mini review (2015)
Journal Article
Iqbal, J., & Baizid, K. (2015). Stroke rehabilitation using exoskeleton-based robotic exercisers: Mini review. Biomedical Research, 26(1), 197-201

Stroke is a debilitating disease that has afflicted millions of people throughout the world. Assisting physiotherapists in post-stroke activities to conduct rehabilitation therapies, scientific community has presented a new type of man-machine intell... Read More about Stroke rehabilitation using exoskeleton-based robotic exercisers: Mini review.

Mining frequent biological sequences based on bitmap without candidate sequence generation (2015)
Journal Article
Wang, Q., Davis, D. N., & Ren, J. (2016). Mining frequent biological sequences based on bitmap without candidate sequence generation. Computers in biology and medicine, 69, 152-157. https://doi.org/10.1016/j.compbiomed.2015.12.016

Biological sequences carry a lot of important genetic information of organisms. Furthermore, there is an inheritance law related to protein function and structure which is useful for applications such as disease prediction. Frequent sequence mining i... Read More about Mining frequent biological sequences based on bitmap without candidate sequence generation.

Scalable allocation of safety integrity levels in automotive systems (2015)
Thesis
Azevedo, L. P. D. S. Scalable allocation of safety integrity levels in automotive systems. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4218322

The allocation of safety integrity requirements is an important problem in modern safety engineering. It is necessary to find an allocation that meets system level safety integrity targets and that is simultaneously cost-effective. As safety-critical... Read More about Scalable allocation of safety integrity levels in automotive systems.

Information density and overlap in spoken dialogue (2015)
Journal Article
Dethlefs, N., Hastie, H., Cuayáhuitl, H., Yu, Y., Rieser, V., & Lemon, O. (2016). Information density and overlap in spoken dialogue. Computer speech & language, 37, 82-97. https://doi.org/10.1016/j.csl.2015.11.001

Incremental dialogue systems are often perceived as more responsive and natural because they are able to address phenomena of turn-taking and overlapping speech, such as backchannels or barge-ins. Previous work in this area has often identified disti... Read More about Information density and overlap in spoken dialogue.

Guided mesh normal filtering (2015)
Presentation / Conference Contribution
Zhang, W., Deng, B., Zhang, J., Bouaziz, S., & Liu, L. Guided mesh normal filtering

The joint bilateral filter is a variant of the standard bilateral filter, where the range kernel is evaluated using a guidance signal instead of the original signal. It has been successfully applied to various image processing problems, where it prov... Read More about Guided mesh normal filtering.

Evolving models in model-driven engineering : state-of-the-art and future challenges (2015)
Journal Article
Matragkas, N., Paige, R. F., & Rose, L. M. (2016). Evolving models in model-driven engineering : state-of-the-art and future challenges. Journal of Systems and Software, 111, 272-280. https://doi.org/10.1016/j.jss.2015.08.047

The artefacts used in Model-Driven Engineering (MDE) evolve as a matter of course: models are modified and updated as part of the engineering process; metamodels change as a result of domain analysis and standardisation efforts; and the operations ap... Read More about Evolving models in model-driven engineering : state-of-the-art and future challenges.

Towards optimisation of load-time conditions for producing viscoelastically prestressed polymeric matrix composites (2015)
Journal Article
Fancey, K. S., & Wang, B. (2016). Towards optimisation of load-time conditions for producing viscoelastically prestressed polymeric matrix composites. Composites. Part B, Engineering, 87, 336-342. https://doi.org/10.1016/j.compositesb.2015.09.003

A viscoelastically prestressed polymeric matrix composite (VPPMC) is produced by applying a tensile creep load to polymeric fibres, the load being released before the fibres are moulded into a polymeric matrix. The viscoelastically recovering fibres... Read More about Towards optimisation of load-time conditions for producing viscoelastically prestressed polymeric matrix composites.

A computer vision approach to classification of birds in flight from video sequences (2015)
Presentation / Conference Contribution
Atanbori, J., Duan, W., Murray, J., Appiah, K., & Dickinson, P. (2015, September). A computer vision approach to classification of birds in flight from video sequences. Presented at Machine Vision of Animals and their Behaviour Workshop 2015, Swansea, UK

Bird populations are an important bio-indicator, ; so collecting reliable data is useful for ecologists helping conserve and manage fragile ecosystems. However, existing manual monitoring methods are labour-intensive, time-consuming, and error-prone.... Read More about A computer vision approach to classification of birds in flight from video sequences.