Mobile augmented reality in nursing educational environments (2018)
Presentation / Conference
Quqandi, E., Joy, M., Rushton, M., & Drumm, I. (2018, September). Mobile augmented reality in nursing educational environments. Presented at 10th Computer Science and Electronic Engineering (CEEC), Colchester, UK

The possibility of using Augmented Reality (AR) in
learning and training has become more straightforward than
before, as a result of the extensive use of Information and
Communication Technologies (ICT) in the computer and mobile
industries. Even... Read More about Mobile augmented reality in nursing educational environments.

The impact of trusted and secured transactions in an e-commerce environment on consumers’ behaviour : the case of Saudis in the UK (2018)
Journal Article
Alshehri, H., & Meziane, F. (2018). The impact of trusted and secured transactions in an e-commerce environment on consumers’ behaviour : the case of Saudis in the UK. International Journal of Internet Technology and Secured Transactions, 6(3), 596 -604. https://doi.org/10.20533/jitst.2046.3723.2018.0073

The work reported in this paper is part of a larger study that attempts to compare the online activities of Saudis living in Saudi Arabia and those living in the United Kingdom (UK). The study aims to answer the question on whether the environment pl... Read More about The impact of trusted and secured transactions in an e-commerce environment on consumers’ behaviour : the case of Saudis in the UK.

Human-robot shared control for split-site interaction and disabled assistance (2018)
Presentation / Conference
Al-Ibadi, A., Nefti-Meziani, S., & Davis, S. (2018, September). Human-robot shared control for split-site interaction and disabled assistance. Presented at 8th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery (CRAS), London, UK

The context where the robot will be used leads to understanding the interaction requirement among the robots and between the human and robot. This includes the number of humans and robots to be used, the task to be solved, and in several cases, the h... Read More about Human-robot shared control for split-site interaction and disabled assistance.

Characterization of concrete electrical resistivity at varied pore structures, water and chloride contents (2018)
Presentation / Conference
Xiang, N., Wang, Y., & Oleiwi, H. (2018, September). Characterization of concrete electrical resistivity at varied pore structures, water and chloride contents. Presented at 38th Cement and Concrete Science Conference, Coventry, UK

Concrete electrical resistivity has been verified as one of the most significant indicators in the evaluation of steel corrosion in concrete. It is also a most effective parameter in the design and operation of cathodic protection for reinforced conc... Read More about Characterization of concrete electrical resistivity at varied pore structures, water and chloride contents.

Design of two segments continuum robot arm based on pneumatic muscle actuator (PMA) (2018)
Presentation / Conference
Al-Ibadi, A., Nefti-Meziani, S., Davis, S., & Theodoridis, T. (2018, September). Design of two segments continuum robot arm based on pneumatic muscle actuator (PMA). Presented at 24th International Conference on Automation & Computing, Newcastle, UK

This paper proposes a novel continuum robot
arm based on the pneumatic muscle actuator (PMA). The
simple design of the extensor and the contractor PMAs are
used to implement the extension and the contraction sections respectively. Five actuators a... Read More about Design of two segments continuum robot arm based on pneumatic muscle actuator (PMA).

A reversible and imperceptible watermarking scheme for MR images authentication (2018)
Presentation / Conference
Qasim, A., Meziane, F., & Aspin, R. (2018, September). A reversible and imperceptible watermarking scheme for MR images authentication. Presented at The 24th International Conference on Automation and Computing (ICAC'18), Newcastle, UK

This paper presents a novel reversible and imperceptible watermarking technique to detect intentional and accidental alterations within brain Magnetic Resonance
(MR) images. Authentication data is embedded into the
informative part of the medical i... Read More about A reversible and imperceptible watermarking scheme for MR images authentication.

Automated glioma grading based on an efficient ensemble design of a multiple classifier system using deep iteration neural networks matrix (2018)
Presentation / Conference
Al-Zurfi, A., Meziane, F., & Aspin, R. (2018, September). Automated glioma grading based on an efficient ensemble design of a multiple classifier system using deep iteration neural networks matrix. Presented at The 24th International Conference on Automation and Computing (ICAC'18), Newcastle, UK

The preoperative diagnosis of brain Glioma grades
is crucial for therapeutic planning as it impacts on the tumour’s prognosis. The development of machine learning methods that can accurately evaluate Glioma grades is of great interest since it is a... Read More about Automated glioma grading based on an efficient ensemble design of a multiple classifier system using deep iteration neural networks matrix.

Gradual and shared immersion in virtual reality exposure therapy (2018)
Presentation / Conference
Roberts, D., Barrett, A., Landowska, A., & Roberts, D. (2018, September). Gradual and shared immersion in virtual reality exposure therapy. Presented at International Conference on Disability, Virtual Reality & Associated Technologies, Nottingham, UK

Classification of advance malware for autonomous vehicles by using stochastic logic (2018)
Presentation / Conference
Alsadat tabatabaei, S., Saraee, M., & Dehghantanha, A. (2018, September). Classification of advance malware for autonomous vehicles by using stochastic logic. Presented at 11th IEEE International Conference on Developments in eSystems Engineering DeSE2018, Cambridge, UK

Connectivity of vehicles allows the seamless power of communication over the internet but is not without its cyber
risks. Many IoT communication systems - such as vehicle-to-vehicle or vehicle-to-roadside - may require latencies
below a few tens of... Read More about Classification of advance malware for autonomous vehicles by using stochastic logic.

Diabetes self-management system : review of existing systems and potential enhancements (2018)
Presentation / Conference
systems and potential enhancements. Presented at 11th IEEE International Conference on Developments in eSystems Engineering (DeSE2018), Cambridge, UK

Diabetes is a global pandemic with growing devastating human, social and economic impacts. By 2025 it is estimated that in the UK five million people will be diagnosed with diabetes and by 2030 diabetes will claim three lives every ten minutes. Accor... Read More about Diabetes self-management system : review of existing systems and potential enhancements.

Enhancing sound attenuation in permeable heterogeneous materials via diffusion processes (2018)
Journal Article
Venegas, R., & Boutin, C. (2018). Enhancing sound attenuation in permeable heterogeneous materials via diffusion processes. Acta acustica united with Acustica, 104(4), 623-635. https://doi.org/10.3813/AAA.919202

This paper illustrates the concept of inducing multiple local non-equilibrium pressure states in permeable rigid frame
materials by means of introducing specific geometrical patterns or material heterogeneities locally. This
results in enhanced sou... Read More about Enhancing sound attenuation in permeable heterogeneous materials via diffusion processes.

EMA-LAB: Efficient Multi Authorisation Level Attribute Based Access Control (2018)
Presentation / Conference
Belguith, S., Kaaniche, N., & Russello, G. (2018, August). EMA-LAB: Efficient Multi Authorisation Level Attribute Based Access Control. Presented at International Conference on Network and System Security, Hong Kong, China

Recent years have witnessed the trend of increasingly relying on remote and distributed infrastructures. This increases the complexity of access control to data, where access control policies should be flexible and distinguishable among users with di... Read More about EMA-LAB: Efficient Multi Authorisation Level Attribute Based Access Control.

Exploiting past users’ interests and predictions in an active learning method for dealing with cold start in recommender systems (2018)
Journal Article
Pozo, M., Chiky, R., Meziane, F., & Métais, E. (2018). Exploiting past users’ interests and predictions in an active learning method for dealing with cold start in recommender systems. Informatics, 5(3), 35. https://doi.org/10.3390/informatics5030035

This paper focuses on the new users cold-start issue in the context of recommender systems. New users who do not receive pertinent recommendations may abandon the system. In order to cope with this issue, we use active learning techniques. These meth... Read More about Exploiting past users’ interests and predictions in an active learning method for dealing with cold start in recommender systems.

A hierarchical key pre-distribution scheme for fog networks (2018)
Journal Article
Nikkhah Bahrami, P., Javadi, H., Dargahi, T., Dehghantanha, A., & Choo, K. (2019). A hierarchical key pre-distribution scheme for fog networks. Concurrency and Computation: Practice and Experience, 31(22), e4776. https://doi.org/10.1002/cpe.4776

Security in fog computing is multi-faceted, and one particular challenge is establishing a secure communication channel between fog nodes and end devices. This emphasizes the importance of designing efficient and secret key distribution scheme to fac... Read More about A hierarchical key pre-distribution scheme for fog networks.

Wear rate-state interactions within a multi-component system : a study of a gearbox accelerated life testing platform (2018)
Journal Article
Assaf, R., Do, P., Nefti-Meziani, S., & Scarf, P. (2018). Wear rate-state interactions within a multi-component system : a study of a gearbox accelerated life testing platform. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 232(4), 425-434. https://doi.org/10.1177/1748006X18764061

The degradation process of complex multi-component systems is highly stochastic in nature. A major side effect of this
complexity is that components of such systems may have unexpected reduced life and faults and failures that decrease
the reliabil... Read More about Wear rate-state interactions within a multi-component system : a study of a gearbox accelerated life testing platform.

Automated toxicity test model based on a bio-inspired technique and AdaBoost classifier (2018)
Journal Article
Tharwat, A., Gaber, T., Hassanien, A., & Elhoseny, M. (2018). Automated toxicity test model based on a bio-inspired technique and AdaBoost classifier. Computers and Electrical Engineering, 71, 346-358. https://doi.org/10.1016/j.compeleceng.2018.07.049

Measuring toxicity is one of the most important steps to develop a new drug. During the drug development, animals are widely used to investigate the toxic effects by exposing them to the toxicants. Zebrafish embryo is one of the most suitable animals... Read More about Automated toxicity test model based on a bio-inspired technique and AdaBoost classifier.

Geometrical-based approach for robust human image detection (2018)
Journal Article
Al-Hazaimeh, O., Al-Nawashi, M., & Saraee, M. (2019). Geometrical-based approach for robust human image detection. Multimedia Tools and Applications, 78(6), 7029-7053. https://doi.org/10.1007/s11042-018-6401-y

In recent years, object detection and classification has been gaining more attention, thus, there are several human object detection algorithms being used to locate and recognize human objects in images. The research of image processing and analyzing... Read More about Geometrical-based approach for robust human image detection.

An evolutionary-based modelling approach for predicting the effective stress parameter in unsaturated soils (2018)
Presentation / Conference
Ahangar Asr, A., & Javadi, A. (2018, August). An evolutionary-based modelling approach for predicting the effective stress parameter in unsaturated soils. Presented at The 7th International Conference on Unsaturated Soils UNSAT2018, Hong Kong, China

Effective stress parameter affects the stress equation and is implemented to calculate the effective stress value which directly influences deformations and failures in unsaturated soils. Evolutionary polynomial regression is a data mining-based tech... Read More about An evolutionary-based modelling approach for predicting the effective stress parameter in unsaturated soils.

Stabilizing biopolymers in water-based drilling fluids at high temperature using antioxidants, a formate salt, and polyglycol (2018)
Journal Article

Biopolymers degrade in water-based drilling fluids when exposed to high temperatures for some time, thus leading to hole-cleaning problems such as stuck pipe. To stabilise biopolymers in drilling fluids, the mechanisms by which they degrade at elevat... Read More about Stabilizing biopolymers in water-based drilling fluids at high temperature using antioxidants, a formate salt, and polyglycol.

Preserving access pattern privacy in SGX-assisted encrypted search (2018)
Presentation / Conference
Cui, S., Belguith, S., Zhang, M., Asghar, M., & Russello, G. (2018, July). Preserving access pattern privacy in SGX-assisted encrypted search. Presented at International Conference on Computer Communication and Networks (ICCCN), Hangzhou, China

Outsourcing sensitive data and operations to untrusted cloud providers is considered a challenging issue. To
perform a search operation, even if both the data and the query are encrypted, attackers still can learn which data locations match the quer... Read More about Preserving access pattern privacy in SGX-assisted encrypted search.