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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), 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.

Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector (2020)
Conference Proceeding
Mahmood, T., & Munir, K. (2020). Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector. https://doi.org/10.5220/0009325201690176

Telecom sector has always been working hard to improve network quality to satisfy end user services. Fixing telecom network errors (hardware and software) precisely and quickly is a main factor to improve quality of services. Telecom operators are sp... Read More about Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector.

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.

Influence of Big Data in managing cyber assets (2019)
Journal Article
Mitra, A., & Munir, K. (2019). Influence of Big Data in managing cyber assets. Built Environment Project and Asset Management, 9(4), 503-514. https://doi.org/10.1108/BEPAM-07-2018-0098

© 2019, Emerald Publishing Limited. Purpose: Today, Big Data plays an imperative role in the creation, maintenance and loss of cyber assets of organisations. Research in connection to Big Data and cyber asset management is embryonic. Using evidence,... Read More about Influence of Big Data in managing cyber assets.

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
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).

Encyclopedia of big data technologies (2018)
Book Chapter
Munir, K. (2018). Encyclopedia of big data technologies. In S. Sakr, & A. Zomaya (Eds.), Encyclopedia of Big Data TechnologiesSpringer

In the field of computer science, data is considered as the main raw material which is produced by abstracting the world into categories, measures and other representational forms (e.g., characters, numbers, relations, sounds, images, electronic wave... Read More about Encyclopedia of big data technologies.

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
Munir, K., Hasham, 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.

The application of web of data technologies in building materials information modelling for construction waste analytics (2017)
Journal Article
Akinade, O. O., Ajayi, S. O., Oyedele, L. O., Bilal, M., Oyedele, L., Munir, K., …Alaka, H. A. (2017). The application of web of data technologies in building materials information modelling for construction waste analytics. Sustainable Materials and Technologies, 11, 28-37. https://doi.org/10.1016/j.susmat.2016.12.004

© 2017 Elsevier B.V. Predicting and designing out construction waste in real time is complex during building waste analysis (BWA) since it involves a large number of analyses for investigating multiple waste-efficient design strategies. These analyse... Read More about The application of web of data technologies in building materials information modelling for construction waste analytics.

Big Data in the construction industry: A review of present status, opportunities, and future trends (2016)
Journal Article
Akinade, O. O., Ajayi, S. O., Oyedele, L. O., Bilal, M., Oyedele, L., Qadir, J., …Pasha, M. (2016). Big Data in the construction industry: A review of present status, opportunities, and future trends. Advanced Engineering Informatics, 30(3), 500-521. https://doi.org/10.1016/j.aei.2016.07.001

© 2016 Elsevier Ltd The ability to process large amounts of data and to extract useful insights from data has revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide assortment of industries, including the construction... Read More about Big Data in the construction industry: A review of present status, opportunities, and future trends.

Evaluation criteria for construction waste management tools: Towards a holistic BIM framework (2016)
Journal Article
Ajayi, S. O., Oyedele, L. O., Akinade, O. O., Akinade, O., Oyedele, L., Munir, K., …Bello, S. A. (2016). Evaluation criteria for construction waste management tools: Towards a holistic BIM framework. International Journal of Sustainable Building Technology and Urban Development, 7(1), 3-21. https://doi.org/10.1080/2093761X.2016.1152203

© 2016 Informa UK Limited, trading as Taylor & Francis Group. This study identifies evaluation criteria with the goal of appraising the performance of existing construction waste management tools and employing the results in the development of a ho... Read More about Evaluation criteria for construction waste management tools: Towards a holistic BIM framework.

Re-provisioning of cloud-based execution infrastructure using the cloud-aware provenance to facilitate scientific workflow execution reproducibility (2016)
Book Chapter
Khawar, H., Munir, K., McClatchey, R., & Shamdasani, J. (2016). Re-provisioning of cloud-based execution infrastructure using the cloud-aware provenance to facilitate scientific workflow execution reproducibility. In M. Helfert, V. M. Munoz, & D. Ferguson (Eds.), Cloud Computing and Services Science, 74-94. Springer

Provenance has been considered as a means to achieve sci- entific workflow reproducibility to verify the workflow processes and results. Cloud computing provides a new computing paradigm for the workflow execution by o↵ering a dynamic and scalable en... Read More about Re-provisioning of cloud-based execution infrastructure using the cloud-aware provenance to facilitate scientific workflow execution reproducibility.

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.

Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project (2015)
Journal Article
Munir, K., Ahmad, K. H., & McClatchey, R. (2015). Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project. Journal of Biomedical Informatics, 57, 245-262. https://doi.org/10.1016/j.jbi.2015.08.004

© 2015 Elsevier Inc.. Exceptional growth in the availability of large-scale clinical imaging datasets has led to the development of computational infrastructures that offer scientists access to image repositories and associated clinical variables dat... Read More about Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project.