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All Outputs (42)

Security of Streaming Media Communications with Logistic Map and Self-Adaptive Detection-Based Steganography (2019)
Journal Article
Peng, J., Jiang, Y., Tang, S., & Meziane, F. (2021). Security of Streaming Media Communications with Logistic Map and Self-Adaptive Detection-Based Steganography. IEEE Transactions on Dependable and Secure Computing, 18(4), 1962-1973. https://doi.org/10.1109/TDSC.2019.2946138

Voice over IP (VoIP) is finding its way into several applications, but its security concerns still remain. This paper shows how a new self-adaptive steganographic method can ensure the security of covert VoIP communications over the Internet. In th... Read More about Security of Streaming Media Communications with Logistic Map and Self-Adaptive Detection-Based Steganography.

A methodology for ontology reuse : the case of the abdominal ultrasound ontology (2019)
Journal Article
Zulkarnain, N., & Meziane, F. (2019). A methodology for ontology reuse : the case of the abdominal ultrasound ontology. International Journal of Intelligent Information Technologies, 15(4), 1-21. https://doi.org/10.4018/IJIIT.2019100101

There are abundance of existing biomedical ontologies such as the National Cancer Institute Thesaurus (NCIT), the Foundational Model of Anatomy (FMA) and the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT). Implementing these ontol... Read More about A methodology for ontology reuse : the case of the abdominal ultrasound ontology.

Improving Arabic neural machine translation via n-best list re-ranking (2019)
Journal Article
re-ranking. Machine Translation, 33, 279-314. https://doi.org/10.1007/s10590-019-09237-6

Even though the rise of the Neural Machine Translation (NMT) paradigm has brought a great deal of improvement to the machine translation field, the current translation results are still not perfect. One of the main reasons for t... Read More about Improving Arabic neural machine translation via n-best list re-ranking.

Combining deep and handcrafted image features for MRI brain scan classification (2019)
Journal Article
Hasan, A., Jalab, H., Meziane, F., Kahtan, H., & Al-Ahmad, A. (2019). Combining deep and handcrafted image features for MRI brain scan classification. IEEE Access, 7(1), 79959-79967. https://doi.org/10.1109/ACCESS.2019.2922691

Progresses in the areas of artificial intelligence, machine learning, and medical imaging technologies have allowed the development of the medical image processing field with some astonishing results in the last two decad... Read More about Combining deep and handcrafted image features for MRI brain scan classification.

Exploring the effects of consumers’ trust : a predictive model for satisfying buyers’ expectations based on sellers’ behaviour in the marketplace (2019)
Journal Article
Al Sheikh, S., Shaalan, K., & Meziane, F. (2019). Exploring the effects of consumers’ trust : a predictive model for satisfying buyers’ expectations based on sellers’ behaviour in the marketplace. IEEE Access, 7(1), 73357-73372. https://doi.org/10.1109/ACCESS.2019.2917999

In recent years, Consumer-to-Consumer (C2C) marketplaces have become very popular among Internet users. However, compared to traditional Business-to-Consumer (B2C) stores, most modern C2C marketplaces are reported to be associated with stronger negat... Read More about Exploring the effects of consumers’ trust : a predictive model for satisfying buyers’ expectations based on sellers’ behaviour in the marketplace.

Ultrasound reports standardisation using rhetorical structure theory and domain ontology (2019)
Journal Article
Zulkarnain, N., & Meziane, F. (2019). Ultrasound reports standardisation using rhetorical structure theory and domain ontology. Journal of biomedical informatics. X, 1, 100003. https://doi.org/10.1016/j.yjbinx.2019.100003

Ultrasound reporting plays an important role in diagnosis as images produced during an ultrasound examination do not give the whole view of the medical conditions. However, in practice there are many issues that are inherent to ultrasound reporting a... Read More about Ultrasound reports standardisation using rhetorical structure theory and domain ontology.

ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images (2018)
Journal Article
Qasim, A., Aspin, R., Meziane, F., & Hogg, P. (2019). ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images. Multimedia Tools and Applications, 78(12), 16433-16463. https://doi.org/10.1007/s11042-018-7029-7

Reversible and imperceptible watermarking is recognized as a robust approach to confirm the integrity and authenticity of medical images and to verify that alterations can be detected and tracked back. In this paper, a novel blind reversible watermar... Read More about ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images.

An adaptable and personalised e-learning system applied to computer science programmes design (2018)
Journal Article
Aeiad, E., & Meziane, F. (2019). An adaptable and personalised e-learning system applied to computer science programmes design. Education and Information Technologies, 24(2), 1485-1509. https://doi.org/10.1007/s10639-018-9836-x

With the rapid advances in E-learning systems, personalisation and adaptability have now become important features in the education technology. In this paper, we describe the development of an architecture for A Personalised and Adaptable E-Learning... Read More about An adaptable and personalised e-learning system applied to computer science programmes design.

Learning causality for Arabic - proclitics (2018)
Journal Article
Sadek, J., & Meziane, F. (2018). Learning causality for Arabic - proclitics. Procedia Computer Science, 142, 141-149. https://doi.org/10.1016/j.procs.2018.10.469

The use of prefixed particles is a prevalent linguistic form to express causation in Arabic Language. However, such particles are complicated and highly ambiguous as they imply different meanings according to their position in the text. This ambiguit... Read More about Learning causality for Arabic - proclitics.

Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images (2018)
Journal Article
Qasim, A., Aspin, R., Meziane, F., & Hogg, P. (2019). Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images. Signal Processing: Image Communication, 70, 246-258. https://doi.org/10.1016/j.image.2018.10.007

The digital medical workflow faces many circumstances in which the images can be manipulated during viewing, extracting and exchanging. Reversible and imperceptible watermarking approaches have the potential to enhance trust within the medical imagin... Read More about Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images.

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.

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.

Query expansion using medical information extraction for improving information retrieval in French medical domain (2018)
Journal Article
Ghoulam, A., Barigou, F., Belalem, G., & Meziane, F. (2018). Query expansion using medical information extraction for improving information retrieval in French medical domain. International Journal of Intelligent Information Technologies, 14(3), 1-17. https://doi.org/10.4018/IJIIT.2018070101

Many users’ queries contain references to named entities, and this is particularly true in the medical field. Doctors express their information needs using medical entities as they are elements rich with information that helps to better target the re... Read More about Query expansion using medical information extraction for improving information retrieval in French medical domain.

Digital watermarking : applicability for developing trust in medical imaging workflows state of the art review (2017)
Journal Article
Qasim, A., Meziane, F., & Aspin, R. (2017). Digital watermarking : applicability for developing trust in medical imaging workflows state of the art review. Computer Science Review, 27, 45-60. https://doi.org/10.1016/j.cosrev.2017.11.003

Medical images can be intentionally or unintentionally manipulated both within the secure medical system environment and outside, as images are viewed, extracted and transmitted. Many organisations have invested heavily in Picture Archiving and Commu... Read More about Digital watermarking : applicability for developing trust in medical imaging workflows state of the art review.

Arabic machine transliteration using an attention-based encoder-decoder model (2017)
Journal Article
encoder-decoder model. Procedia Computer Science, 117, 287-297. https://doi.org/10.1016/j.procs.2017.10.120

Transliteration is the process of converting words from a given source language alphabet to a target language alphabet, in a way that best preserves the phonetic and orthographic aspects of the transliterated words. Even though an important effort h... Read More about Arabic machine transliteration using an attention-based encoder-decoder model.

Current state on internet growth and usage in Saudi Arabia and its ability to support e-commerce development (2017)
Journal Article
Alshehri, H., & Meziane, F. (2017). Current state on internet growth and usage in Saudi Arabia and its ability to support e-commerce development. https://doi.org/10.18178/joams.5.2.127-132

It is widely recognized that the Internet has been rapidly growing and massively used in recent years. Previous studies have revealed that this is true for Internet users across the world. Likewise it is reported, lack of ICT infrastructures is one o... Read More about Current state on internet growth and usage in Saudi Arabia and its ability to support e-commerce development.

Plantar fascia segmentation and thickness estimation in ultrasound images (2017)
Journal Article
Boussouar, A., & Meziane, F. (2017). Plantar fascia segmentation and thickness estimation in ultrasound images. Computerized Medical Imaging and Graphics, 56, 60-73. https://doi.org/10.1016/j.compmedimag.2017.02.001

Ultrasound (US) imaging offers significant potential in diagnosis of plantar fascia (PF) injury and monitoring treatment. In particular US imaging has been shown to be reliable in foot and ankle assessment and offers a real-time effective imaging tec... Read More about Plantar fascia segmentation and thickness estimation in ultrasound images.

Segmentation of brain tumors in MRI images using three-dimensional active contour without edge (2016)
Journal Article
Hasan, A., Meziane, F., Aspin, R., & Jalab, H. (2016). Segmentation of brain tumors in MRI images using three-dimensional active contour without edge. Symmetry, 8(11), 132. https://doi.org/10.3390/sym8110132

Brain tumor segmentation in magnetic resonance imaging (MRI) is considered a complex procedure because of the variability of tumor shapes and the complexity of determining the tumor location, size, and texture. Manual tumor segmentation is a time-con... Read More about Segmentation of brain tumors in MRI images using three-dimensional active contour without edge.

A discourse-based approach for Arabic question answering (2016)
Journal Article
Sadek, J., & Meziane, F. (2016). A discourse-based approach for Arabic question answering. ACM transactions on Asian language information processing, 16(2), Art. 11. https://doi.org/10.1145/2988238

The treatment of complex questions with explanatory answers involves searching for arguments in texts. Because of the prominent role that discourse relations play in reflecting text-producers’ intentions, capturing the underlying structure of text co... Read More about A discourse-based approach for Arabic question answering.