All Outputs (4)

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.

Building a causation annotated corpus : the Salford Arabic Causal Bank-proclitics (2018)
Presentation / Conference
Sadek, J., & Meziane, F. (2018, May). Building a causation annotated corpus : the Salford Arabic Causal Bank-proclitics. Presented at The 3rd Workshop on Open-Source Arabic Corpora and Processing Tools, Miyazaki, Japan

We introduce the Salford Arabic Causal Bank (SACB) corpus, a new corpus dedicated to Arabic Causal relations. Causality as a linguistic phenomenon can be expressed using different elements and grammatical expressions. In Arabic language, causal parti... Read More about Building a causation annotated corpus : the Salford Arabic Causal Bank-proclitics.

Fast flux botnet detection framework using adaptive dynamic evolving spiking neural network algorithm (2018)
Presentation / Conference
Al-Nawasrah, A., Al-Momani, A., Meziane, F., & Alauthman, M. (2018, April). Fast flux botnet detection framework using adaptive dynamic evolving spiking neural network algorithm. Presented at The 9th International Conference on Information and Communication Systems (ICICS 2018), Irbid, Jordan

A botnet, a set of compromised machines controlled distantly by an attacker, is the basis of numerous security threats around the world. Command and Control servers are the backbones of botnet communications, where the bots and botmasters send repor... Read More about Fast flux botnet detection framework using adaptive dynamic evolving spiking neural network algorithm.