Outputs (117)

Classification of eye-state using EEG recordings: Speed-up gains using signal epochs and mutual information measure (2019)
Presentation / Conference Contribution

© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. The classification of electroencephalography (EEG) signals is useful in a wide range of applications such as seizure detection/prediction, motor imagery classification,... Read More about Classification of eye-state using EEG recordings: Speed-up gains using signal epochs and mutual information measure.

Monitoring the performance of petrochemical organizations in Saudi Arabia using data envelopment analysis (2019)
Journal Article

The petrochemical industry plays a crucial role in the economy of the Kingdom of Saudi Arabia. Therefore, the effectiveness and efficiency of this industry is of high importance. Data envelopment analysis (DEA) is found to be more acceptable in measu... Read More about Monitoring the performance of petrochemical organizations in Saudi Arabia using data envelopment analysis.

FABIoT: A Flexible Agent-Based Simulation Model for IoT Environments (2019)
Presentation / Conference Contribution

The Internet of Things aims to digitize everyday physical objects by connecting them to the internet. As a result, cyber-physical environments of multiple sizes emerge, imposing new requirements on applications and software systems in regards support... Read More about FABIoT: A Flexible Agent-Based Simulation Model for IoT Environments.

Reliable data analysis through blockchain based crowdsourcing in mobile ad-hoc cloud (2019)
Journal Article

Mobile Ad-hoc Cloud (MAC) is the constellation of nearby mobile devices to serve the heavy computational needs of the resource constrained edge devices. One of the major challenges of MAC is to convince the mobile devices to offer their limited resou... Read More about Reliable data analysis through blockchain based crowdsourcing in mobile ad-hoc cloud.

Tools and techniques for improving cyber situational awareness of targeted phishing attacks (2019)
Presentation / Conference Contribution

© 2019 IEEE. Phishing attacks continue to be one of the most common attack vectors used online today to deceive users, such that attackers can obtain unauthorised access or steal sensitive information. Phishing campaigns often vary in their level of... Read More about Tools and techniques for improving cyber situational awareness of targeted phishing attacks.

Efficient and interpretable real-time malware detection using random-forest (2019)
Presentation / Conference Contribution

© 2019 IEEE. Malicious software, often described as malware, is one of the greatest threats to modern computer systems, and attackers continue to develop more sophisticated methods to access and compromise data and resources. Machine learning methods... Read More about Efficient and interpretable real-time malware detection using random-forest.

What makes for effective visualisation in cyber situational awareness for non-expert users? (2019)
Presentation / Conference Contribution

© 2019 IEEE. As cyber threats continue to become more prevalent, there is a need to consider how best we can understand the cyber landscape when acting online, especially so for non-expert users. Satellite navigation systems provide the de facto stan... Read More about What makes for effective visualisation in cyber situational awareness for non-expert users?.

An explanation-based approach for experiment reproducibility in recommender systems (2019)
Journal Article

© 2019, Springer-Verlag London Ltd., part of Springer Nature. The offline evaluation of recommender systems is typically based on accuracy metrics such as the Mean Absolute Error and the Root Mean Squared Error for error rating prediction and Precisi... Read More about An explanation-based approach for experiment reproducibility in recommender systems.

Belousov-Zhabotinsky liquid marbles in robot control (2019)
Journal Article

© 2019 Elsevier B.V. We show how to control the movement of a wheeled robot using on-board liquid marbles made of Belousov-Zhabotinsky solution droplets coated with polyethylene powder. Two stainless steel, iridium coated electrodes were inserted in... Read More about Belousov-Zhabotinsky liquid marbles in robot control.

Venue2Vec: An efficient embedding model for fine-grained user location prediction in geo-social networks (2019)
Journal Article

Geo-Social Networks (GSN) significantly improve location-aware capability of services by offering geo-located content based on the huge volumes of data generated in the GSN. The problem of user location prediction based on user-generated data in GSN... Read More about Venue2Vec: An efficient embedding model for fine-grained user location prediction in geo-social networks.