All Outputs (20)

AgroSupportAnalytics: Big data recommender system for agricultural farmer complaints in Egypt (2023)
Journal Article
Rslan, E., Khafagy, M. H., Ali, M., Munir, K., & Badry, R. M. (2023). AgroSupportAnalytics: Big data recommender system for agricultural farmer complaints in Egypt. International Journal of Electrical and Computer Engineering, 13(1), 746-755. https://doi.org/10.11591/ijece.v13i1.pp746-755

The world's agricultural needs are growing with the pace of increase in its population. Agricultural farmers play a vital role in our society by helping us in fulfilling our basic food needs. So, we need to support farmers to keep up their great work... Read More about AgroSupportAnalytics: Big data recommender system for agricultural farmer complaints in Egypt.

Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities (2022)
Journal Article
Stanton, I., Munir, K., Ikram, A., & El-Bakry, M. (2023). Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities. Systems Engineering, 26(2), 216-237. https://doi.org/10.1002/sys.21651

The increase in available data from sensors embedded in industrial equipment has led to a recent rise in the use of industrial predictive maintenance. In the aircraft industry, predictive maintenance has become an essential tool for optimizing mainte... Read More about Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities.

Application of region-based video surveillance in smart cities using deep learning (2021)
Journal Article
Zahra, A., Ghafoor, M., Munir, K., Ullah, A., & Ul Abideen, Z. (2021). Application of region-based video surveillance in smart cities using deep learning. Multimedia Tools and Applications, 2021, https://doi.org/10.1007/s11042-021-11468-w

Smart video surveillance helps to build more robust smart city environment. The varied angle cameras act as smart sensors and collect visual data from smart city environment and transmit it for further visual analysis. The transmitted visual data is... Read More about Application of region-based video surveillance in smart cities using deep learning.

Arabic semantic similarity approach for farmers’ complaints (2021)
Journal Article
Farouk, R. A., Khafagy, M. H., Ali, M., Munir, K., & M.Badry, R. (2021). Arabic semantic similarity approach for farmers’ complaints. International Journal of Advanced Computer Science and Applications, 12(10), 348-358. https://doi.org/10.14569/ijacsa.2021.0121038

Semantic similarity is applied for many areas in Natural Language Processing, such as information retrieval, text classification, plagiarism detection, and others. Many researchers used semantic similarity for English texts, but few used for Arabic d... Read More about Arabic semantic similarity approach for farmers’ complaints.

AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt (2021)
Journal Article
Munir, K., Ghafoor, M., Khafagy, M., & Ihshaish, H. (2022). AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt. Egyptian Informatics Journal, 23(1), 73-82. https://doi.org/10.1016/j.eij.2021.06.002

Sustainable Farming requires up-to-date advice on crop diseases, patterns, and adequate prevention actions to face developing circumstances. Currently, in developing countries like Egypt, farmers’ access to such information is extremely limited due t... Read More about AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt.

An ontology-based compliance audit framework for medical data sharing across Europe (2021)
Journal Article
Boussi Rahmouni, H., & Munir, K. (2021). An ontology-based compliance audit framework for medical data sharing across Europe. International Arab Journal of Information Technology, 18(2), 158-169

Complying with privacy in multi-jurisdictional health domains is important as well as challenging. The compliance management process will not be efficient unless it manages to show evidences of explicit verification of legal requirements. In order to... Read More about An ontology-based compliance audit framework for medical data sharing across Europe.

IoT technologies for livestock management: A review of present status, opportunities, and future trends (2021)
Journal Article
Akhigbe, B. I., Munir, K., Akinade, O., Akanbi, L., & Oyedele, L. O. (2021). IoT technologies for livestock management: A review of present status, opportunities, and future trends. Big Data and Cognitive Computing, 5(1), Article 10. https://doi.org/10.3390/bdcc5010010

The world population currently stands at about 7 billion amidst an expected increase in 2030 from 9.4 billion to around 10 billion in 2050. This burgeoning population has continued to influence the upward demand for animal food. Moreover, the managem... Read More about IoT technologies for livestock management: A review of present status, opportunities, and future trends.

Uncertainty assisted robust tuberculosis identification with Bayesian convolutional neural networks (2020)
Journal Article
Ul Abideen, Z., Ghafoor, M., Munir, K., Saqib, M., Ullah, A., Zia, T., …Zahra, A. (2020). Uncertainty assisted robust tuberculosis identification with Bayesian convolutional neural networks. IEEE Access, 8, 22812-22825. https://doi.org/10.1109/access.2020.2970023

Tuberculosis (TB) is an infectious disease that can lead towards death if left untreated. TB detection involves extraction of complex TB manifestation features such as lung cavity, air space consolidation, endobronchial spread, and pleural effusions... Read More about Uncertainty assisted robust tuberculosis identification with Bayesian convolutional neural networks.

Neuroscience patient identification using big data and fuzzy logic–An Alzheimer’s disease case study (2019)
Journal Article
Munir, K., de Ramón-Fernández, A., Iqbal, S., & Javaid, N. (2019). Neuroscience patient identification using big data and fuzzy logic–An Alzheimer’s disease case study. Expert Systems with Applications, 136, 410-425. https://doi.org/10.1016/j.eswa.2019.06.049

Modern neuroscience imaging technologies considerably affect diagnostic and prognostic accuracy and facilitate progress towards the cure of brain diseases. The benefits largely depend on the practicalities by which the large-scale imaging and clinica... Read More about Neuroscience patient identification using big data and fuzzy logic–An Alzheimer’s disease case study.

NeuroProv: Provenance data visualisation for neuroimaging analyses (2019)
Journal Article
Munir, K., Arshad, B., McClatchey, R., Shamdasani, J., & Khan, Z. (2019). NeuroProv: Provenance data visualisation for neuroimaging analyses. Journal of Computer Languages, 52, 72-87. https://doi.org/10.1016/j.cola.2019.04.004

© 2019 Elsevier Ltd Visualisation underpins the understanding of scientific data both through exploration and explanation of analysed data. Provenance strengthens the understanding of data by showing the process of how a result has been achieved. Wit... Read More about NeuroProv: Provenance data visualisation for neuroimaging analyses.

Reproducibility of scientific workflows execution using cloud-aware provenance (ReCAP) (2018)
Journal Article
Hasham, K., & Munir, K. (2018). Reproducibility of scientific workflows execution using cloud-aware provenance (ReCAP). Computing, 100(12), 1299-1333. https://doi.org/10.1007/s00607-018-0617-6

© 2018, Springer-Verlag GmbH Austria, part of Springer Nature. Provenance of scientific workflows has been considered a mean to provide workflow reproducibility. However, the provenance approaches adopted so far are not applicable in the context of C... Read More about Reproducibility of scientific workflows execution using cloud-aware provenance (ReCAP).

The use of ontologies for effective knowledge modelling and information retrieval (2017)
Journal Article
Sheraz Anjum, M., & Munir, K. (2018). The use of ontologies for effective knowledge modelling and information retrieval. Applied Computing and Informatics, 14(2), 116-126. https://doi.org/10.1016/j.aci.2017.07.003

© 2017 The dramatic increase in the use of knowledge discovery applications requires end users to write complex database search requests to retrieve information. Such users are not only expected to grasp the structural complexity of complex databases... Read More about The use of ontologies for effective knowledge modelling and information retrieval.

Cloud infrastructure provenance collection and management to reproduce scientific workflows execution (2017)
Journal Article
Hasham, K., Munir, K., & McClatchey, R. (2018). Cloud infrastructure provenance collection and management to reproduce scientific workflows execution. Future Generation Computer Systems, 86, 799-820. https://doi.org/10.1016/j.future.2017.07.015

© 2017 Elsevier B.V. The emergence of Cloud computing provides a new computing paradigm for scientific workflow execution. It provides dynamic, on-demand and scalable resources that enable the processing of complex workflow-based experiments. With th... Read More about Cloud infrastructure provenance collection and management to reproduce scientific workflows execution.

Cloud Market Maker: An automated dynamic pricing marketplace for cloud users (2016)
Journal Article
Javed, B., Bloodsworth, P., Rasool, R. U., Munir, K., & Rana, O. (2016). Cloud Market Maker: An automated dynamic pricing marketplace for cloud users. Future Generation Computer Systems, 54, 52-67. https://doi.org/10.1016/j.future.2015.06.004

© 2015 Elsevier B.V. Abstract Cloud providers commonly incur heavy upfront set up costs which remain almost constant whether they serve a single or many customers. In order to generate a return on this investment, a suitable pricing strategy is requi... Read More about Cloud Market Maker: An automated dynamic pricing marketplace for cloud users.

Provision of an integrated data analysis platform for computational neuroscience experiments (2014)
Journal Article
Munir, K., Kiani, S. L., Hasham, K., McClatchey, R., Branson, A., & Shamdasani, J. (2014). Provision of an integrated data analysis platform for computational neuroscience experiments. Journal of Systems and Information Technology, 16(3), 150-169. https://doi.org/10.1108/JSIT-01-2014-0004

© Emerald Group Publishing Limited. Purpose – The purpose of this paper is to provide an integrated analysis base to facilitate computational neuroscience experiments, following a user-led approach to provide access to the integrated neuroscience dat... Read More about Provision of an integrated data analysis platform for computational neuroscience experiments.

Intelligent grid enabled services for neuroimaging analysis (2013)
Journal Article
McClatchey, R., Habib, I., Anjum, A., Munir, K., Branson, A., Bloodsworth, P., & Kiani, S. L. (2013). Intelligent grid enabled services for neuroimaging analysis. Neurocomputing, 122, 88-99. https://doi.org/10.1016/j.neucom.2013.01.042

This paper reports our work in the context of the neuGRID project in the development of intelligent services for a robust and efficient Neuroimaging analysis environment. neuGRID is an EC-funded project driven by the needs of the Alzheimer's disease... Read More about Intelligent grid enabled services for neuroimaging analysis.

Providing traceability for neuroimaging analyses (2013)
Journal Article
McClatchey, R., Branson, A., Anjum, A., Bloodsworth, P., Habib, I., Munir, K., …Soomro, K. (2013). Providing traceability for neuroimaging analyses. International Journal of Medical Informatics, 82(9), 882-894. https://doi.org/10.1016/j.ijmedinf.2013.05.005

Introduction With the increasingly digital nature of biomedical data and as the complexity of analyses in medical research increases, the need for accurate information capture, traceability and accessibility has become crucial to medical researchers... Read More about Providing traceability for neuroimaging analyses.

Ontology-driven relational query formulation using the semantic and assertional capabilities of OWL-DL (2012)
Journal Article
McClatchey, R., Odeh, M., Munir, K., Munir, K., Odeh, M., & McClatchey, R. (2012). Ontology-driven relational query formulation using the semantic and assertional capabilities of OWL-DL. Knowledge-Based Systems, 35, 144-159. https://doi.org/10.1016/j.knosys.2012.04.020

This work investigates the extent to which domain knowledge, expressed in a domain ontology, can assist end-users in formulating relational queries that can be executed over a complex relational database. In this regard, an ontology-driven query form... Read More about Ontology-driven relational query formulation using the semantic and assertional capabilities of OWL-DL.

Context caches in the Clouds (2012)
Journal Article
Kiani, S. L., Anjum, A., Antonopoulos, N., Munir, K., & McClatchey, R. (2012). Context caches in the Clouds. Journal of Cloud Computing: Advances, Systems and Applications, 1(1), 1-13. https://doi.org/10.1186/2192-113X-1-7

In context-aware systems, the contextual information about human and computing situations has a strong temporal aspect i. e. it remains valid for a period of time. This temporal property can be exploited in caching mechanisms that aim to exploit such... Read More about Context caches in the Clouds.

The requirements for ontologies in medical data integration: A case study (2007)
Journal Article
Hauer, T., Anjum, A., Bloodsworth, P., Branson, A., McClatchey, R., Munir, K., …Shamdasani, J. (2007). The requirements for ontologies in medical data integration: A case study. https://doi.org/10.1109/IDEAS.2007.4318120

Evidence-based medicine is critically dependent on three sources of information: a medical knowledge base, the patient's medical record and knowledge of available resources, including where appropriate, clinical protocols. Patient data is often scatt... Read More about The requirements for ontologies in medical data integration: A case study.