Outputs (2059)

Emerging use of UAV’s: secure communication protocol issues and challenges (2020)
Book Chapter

In recent years, unmanned aerial vehicles (UAVs)/drones have gained popularity in many areas due to their widely used applications. They are used extensively in military and civil applications such as search and rescue, reconnaissance, monitoring of... Read More about Emerging use of UAV’s: secure communication protocol issues and challenges.

Foundations of fully dynamic group signatures (2020)
Journal Article

Group signatures allow members of a group to anonymously sign on behalf of the group. Membership is administered by a designated group manager. The group manager can also reveal the identity of a signer if and when needed to enforce accountability an... Read More about Foundations of fully dynamic group signatures.

Understanding output checking (2020)
Report

This report for Eurostat (Methodology) considers the conceptual and practical issues that need to be addressed in designing and implementing automatic disclosure control checking for statistical research outputs.
The report covers
- The basic theo... Read More about Understanding output checking.

Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction (2020)
Presentation / Conference Contribution

To achieve safe close-proximity human-robot interaction , particularly for physically assitive tasks, robot motion planning needs to recognize and adapt to the behaviour of humans in the long-term. Generally, motion prediction with probabilistic conf... Read More about Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction.

Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases (2020)
Presentation / Conference Contribution

Parkinson’s is a brain disease that affects the quality of human life significantly with very slow progresses. It is known that early diagnosis is of great importance to arrange relevant and efficient treatments. Data analytics and particularly predi... Read More about Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases.

Automated screening of patients for dietician referral (2020)
Presentation / Conference Contribution

Critical Care Units (CCU) in a hospital treat the severely sick patients that need constant monitoring and close medical attention. Feeding patients, enteral feeding in particular, is a critical and continuous process. Monitoring patients, managing t... Read More about Automated screening of patients for dietician referral.

Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment (2020)
Presentation / Conference Contribution

Computer composed music remains a novel and challenging problem to solve. Despite an abundance of techniques and systems little research has explored how these might be useful for end-users looking to compose with generative and algorithmic music tec... Read More about Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment.

Novelty search employed into the development of cancer treatment simulations (2020)
Journal Article

Conventional optimization methodologies may be hindered when the automated search is stuck into local optima because of a deceptive objective function landscape. Consequently, open ended search methodologies, such as novelty search, have been propose... Read More about Novelty search employed into the development of cancer treatment simulations.

Harmonics (2020)
Exhibition / Performance

Harmonics challenges our perception of light and sound unfolding at great speed, an illusion of time blending. As the two kinetic sculptures speed up, rotating beams of light blend to form volumes of colour, while multiple discrete sounds become a ma... Read More about Harmonics.

A recurrent neural network for urban long-term traffic flow forecasting (2020)
Journal Article

This paper investigates the use of recurrent neural network to predict urban long-term traffic flows. A representation of the long-term flows with related weather and contextual information is first introduced. A recurrent neural network approach, na... Read More about A recurrent neural network for urban long-term traffic flow forecasting.