Outputs (20)

Deep learning-based multi-target regression for traffic-related air pollution forecasting (2023)
Journal Article
Akinosho, T. D., Bilal, M., Hayes, E. T., Ajayi, A., Ahmed, A., & Khan, Z. (2023). Deep learning-based multi-target regression for traffic-related air pollution forecasting. Machine Learning with Applications, 12, Article 100474. https://doi.org/10.1016/j.mlwa.2023.100474

Traffic-related air pollution (TRAP) remains one of the main contributors to urban pollution and its impact on climate change cannot be overemphasised. Experts in developed countries strive to make optimal use of traffic and air qua... Read More about Deep learning-based multi-target regression for traffic-related air pollution forecasting.

SIGNED: Smart cIty diGital twiN vErifiable data framework (2023)
Journal Article
Pervez, Z., Khan, Z., Ghafoor, A., & Soomro, K. (2023). SIGNED: Smart cIty diGital twiN vErifiable data framework. IEEE Access, 11, 29430-29446. https://doi.org/10.1109/ACCESS.2023.3260621

Smart city digital twins can provide useful insights by making effective use of multidisciplinary urban data from diverse sources. Whilst these insights provide new information that helps cities in decision making, verifying the authenticity, integri... Read More about SIGNED: Smart cIty diGital twiN vErifiable data framework.

A review of learning theories and models underpinning technology-enhanced learning artefacts (2020)
Journal Article
Hammad, R., Khan, Z., Safieddine, F., & Ahmed, A. (2020). A review of learning theories and models underpinning technology-enhanced learning artefacts. World Journal of Science, Technology and Sustainable Development, 17(4), 341-354. https://doi.org/10.1108/WJSTSD-06-2020-0062

Purpose – Various technology-enhanced learning software and tools exist where technology becomes the main driver for these developments at the expense of pedagogy. The literature reveals the missing balance between technology and pedagogy in the cont... Read More about A review of learning theories and models underpinning technology-enhanced learning artefacts.

Blockchain and edge computing–based architecture for participatory smart city applications (2019)
Journal Article
Khan, Z., Abbasi, A. G., & Pervez, Z. (2020). Blockchain and edge computing–based architecture for participatory smart city applications. Concurrency and Computation: Practice and Experience, 32(12), Article e5566. https://doi.org/10.1002/cpe.5566

© 2019 John Wiley & Sons, Ltd. Smart cities aim to provide smart governance with the emphasis on gaining high transparency and trust in public services and enabling citizen participation in decision making processes. This means on the one hand data... Read More about Blockchain and edge computing–based architecture for participatory smart city applications.

Smart city big data analytics: An advanced review (2019)
Journal Article
Soomro, K., Bhutta, M. N. M., Khan, Z., & Tahir, M. A. (2019). Smart city big data analytics: An advanced review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9(5), Article e1319. https://doi.org/10.1002/widm.1319

© 2019 Wiley Periodicals, Inc. With the increasing role of ICT in enabling and supporting smart cities, the demand for big data analytics solutions is increasing. Various artificial intelligence, data mining, machine learning and statistical analysis... Read More about Smart city big data analytics: An advanced review.

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.

Opportunistic protocol based on social probability and resources efficiency for the intelligent and connected transportation system (2018)
Journal Article
Wang, T., Tang, M. B., Song, H., Cao, Y., & Khan, Z. (2019). Opportunistic protocol based on social probability and resources efficiency for the intelligent and connected transportation system. Computer Networks, 149, 173-186. https://doi.org/10.1016/j.comnet.2018.11.034

© 2018 Elsevier B.V. In recent years, Intelligent and Connected Transportation Systems (ICTS) have become a practical and valuable alternative for wide variety of novel applications in road traffic safety. It can be utilized to guarantee road safety... Read More about Opportunistic protocol based on social probability and resources efficiency for the intelligent and connected transportation system.

An adaptable system to support provenance management for the public policy-making process in smart cities (2018)
Journal Article
Javed, B., Khan, Z., & McClatchey, R. (2018). An adaptable system to support provenance management for the public policy-making process in smart cities. Informatics, 5(1), 1-26. https://doi.org/10.3390/informatics5010003

© 2018 by the authors. Government policies aim to address public issues and problems and therefore play a pivotal role in people’s lives. The creation of public policies, however, is complex given the perspective of large and diverse stakeholders’ in... Read More about An adaptable system to support provenance management for the public policy-making process in smart cities.

Participatory governance in smart cities: The urbanAPI case study (2017)
Journal Article
Soomro, K., Khan, Z., & Ludlow, D. (2017). Participatory governance in smart cities: The urbanAPI case study. International Journal of Services Technology and Management, 23(5-6), 419-444. https://doi.org/10.1504/IJSTM.2017.10009859

Copyright © 2017 Inderscience Enterprises Ltd. This paper presents some results from an EU FP7 RTD project urbanAPI, in which three ICT applications target different aspects of participatory urban governance. The 3D Scenario Creator allows urban plan... Read More about Participatory governance in smart cities: The urbanAPI case study.

From top-down land use planning intelligence to bottom-up stakeholder engagement for smart cities – A case study: DECUMANUS service products (2017)
Journal Article
Ludlow, D., Khan, Z., Soomro, K., Marconcini, M., José, R. S., Malcorps, P., …Metz, A. (2017). From top-down land use planning intelligence to bottom-up stakeholder engagement for smart cities – A case study: DECUMANUS service products. International Journal of Services Technology and Management, 23(5-6), 465-493. https://doi.org/10.1504/IJSTM.2017.10009861

Copyright © 2017 Inderscience Enterprises Ltd. Intelligence delivered by earth observation (EO) satellites performs a vital role in supporting ICT enabled urban governance, and the creation of decision making tools delivering integrated urban plannin... Read More about From top-down land use planning intelligence to bottom-up stakeholder engagement for smart cities – A case study: DECUMANUS service products.