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All Outputs (113)

A framework for dynamic heterogeneous information networks change discovery based on knowledge engineering and data mining methods (2021)
Thesis
Umer, S. A framework for dynamic heterogeneous information networks change discovery based on knowledge engineering and data mining methods. (Thesis). University of Salford

Information Networks are collections of data structures that are used to model interactions in social and living phenomena. They can be either homogeneous or heterogeneous and static or dynamic depending upon the type and nature of relations between... Read More about A framework for dynamic heterogeneous information networks change discovery based on knowledge engineering and data mining methods.

An intelligent system for the classification and selection of novel and efficient lossless image compression algorithms (2020)
Thesis
Alqerom, M. An intelligent system for the classification and selection of novel and efficient lossless image compression algorithms. (Thesis). University of Salford

We are currently living in an era revolutionised by the development of smart phones and digital cameras. Most people are using phones and cameras in every aspect of their lives. With this development comes a high level of competition between the tech... Read More about An intelligent system for the classification and selection of novel and efficient lossless image compression algorithms.

Movies emotional analysis using textual contents (2020)
Presentation / Conference
Kayhani, A., Meziane, F., & Chiky, R. (2020, June). Movies emotional analysis using textual contents. Presented at 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, Saarbrücken, Germany

In this paper, we use movies and series subtitles and applied text mining and Natural Language Processing methods to evaluate emotions in videos. Three different word lexicons were used and one of the outcomes of this research is the generation of a... Read More about Movies emotional analysis using textual contents.

Natural language processing and information systems : 25th international conference on applications of natural language to information systems, NLDB 2020, Saarbrücken, Germany, June 24–26, 2020, proceedings (2020)
Book
(2020). E. Métais, F. Meziane, H. Horacek, & P. Cimiano (Eds.), Natural language processing and information systems : 25th international conference on applications of natural language to information systems, NLDB 2020, Saarbrücken, Germany, June 24–26, 2020, proceedings. Switzerland: Springer. https://doi.org/10.1007/978-3-030-51310-8

This volume contains the papers presented at NLDB 2020, the 25th International Conference on Applications of Natural Language to Information Systems held June 24–26, 2020, as a video conference at the German Research Center for Artificial Intelligenc... Read More about Natural language processing and information systems : 25th international conference on applications of natural language to information systems, NLDB 2020, Saarbrücken, Germany, June 24–26, 2020, proceedings.

Plantar fascia ultrasound images characterization and classification using support vector machine (2019)
Presentation / Conference
Boussouar, A., Meziane, F., & Walton, L. (2019, October). Plantar fascia ultrasound images characterization and classification using support vector machine. Presented at The 5th International Conference on Advanced Intelligent Systems and Applications, Cairo, Egypt

The examination of plantar fascia (PF) ultrasound (US) images is subjective and based on the visual perceptions and manual biometric measurements carried out by medical experts. US images feature extraction, characterization and classification have b... Read More about Plantar fascia ultrasound images characterization and classification using support vector machine.

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.

Exploring the effects of consumers’ trust : a predictive model for satisfying buyers’ expectations based on sellers’ behaviour in the marketplace (2019)
Thesis
AlSheikh, S. Exploring the effects of consumers’ trust : a predictive model for satisfying buyers’ expectations based on sellers’ behaviour in the marketplace. (Thesis). University of Salford

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 neg... Read More about Exploring the effects of consumers’ trust : a predictive model for satisfying buyers’ expectations based on sellers’ behaviour in the marketplace.

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.

ANETAC: Arabic named entity transliteration and classification dataset (2019)
Dataset
Hadj Ameur, M., Meziane, F., & Guessoum, A. (2019). ANETAC: Arabic named entity transliteration and classification dataset. [Dataset]

In this paper, we make freely accessible ANETAC, our English-Arabic named entity transliteration and classification dataset that we built from freely available parallel translation corpora. The dataset contains 79, 924 instances, each instance is a t... Read More about ANETAC: Arabic named entity transliteration and classification dataset.

ANETAC: Arabic named entity transliteration and classification dataset (2019)
Other
Hadj Ameur, M., Meziane, F., & Guessoum, A. (2019). ANETAC: Arabic named entity transliteration and classification dataset

In this paper, we make freely accessible ANETAC, our English-Arabic named entity transliteration and classification dataset that we built from freely available parallel translation corpora. The dataset contains 79, 924 instances, each instance is a t... Read More about ANETAC: Arabic named entity transliteration and classification dataset.

Natural Language Processing and Information Systems : 24th International Conference on applications of natural language to information systems, NLDB 2019, Salford, UK, June 26–28, 2019, proceedings (2019)
Book
24th International Conference on applications of natural language to information systems, NLDB 2019, Salford, UK, June 26–28, 2019, proceedings. Switzerland: Springer Nature Switzerland. https://doi.org/10.1007/978-3-030-23281-8

This book constitutes the refereed proceedings of the 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, held in Salford, UK, in June 2019. The 21 full papers and 16 short papers were carefully re... Read More about Natural Language Processing and Information Systems : 24th International Conference on applications of natural language to information systems, NLDB 2019, Salford, UK, June 26–28, 2019, proceedings.

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.

Coupling ontology with reference architectures to facilitate the instantiation process of software system architectures (2019)
Thesis
Al-Bayati, Z. (in press). Coupling ontology with reference architectures to facilitate the instantiation process of software system architectures. (Thesis). University of Salford

A reference architecture can be defined as a generic architecture for a set of information systems that is used as a basis to a software system architecture. It provides the foundation for the design of concrete architectures in terms of architectura... Read More about Coupling ontology with reference architectures to facilitate the instantiation process of software system architectures.

Integration of digital watermarking technique into medical imaging systems (2019)
Presentation / Conference
Qasim, A., Aspin, R., & Meziane, F. (2019, June). Integration of digital watermarking technique into medical imaging systems. Presented at 10th International Conference Dependable Systems, Services and Technologies (DESSERT’2019), Leeds, UK

This paper presents the process of integrating digital watermarking technique into medical imaging workflow to evaluate, validate and verify its applicability and appropriateness to medical domains. This is significant to ensure the ability of the pr... Read More about Integration of digital watermarking technique into medical imaging systems.

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.

A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in MRI brain tumour (2019)
Presentation / Conference
Al-Zurfi, A., Meziane, F., & Aspin, R. (2019, April). A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in MRI brain tumour. Presented at 3rd IEEE International Conference on Bio-Engineering for Smart Technologies (BioSMART 2019), Paris, France

Glioma grading is vital for therapeutic planning where the higher level of glioma is associated with high mortality. It is a challenging task as different glioma grades have mixed morphological characteristics of brain tumour. A computer-aided diagno... Read More about A computer-aided diagnosis system for glioma grading using three dimensional texture analysis and machine learning in MRI brain tumour.

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.