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All Outputs (5)

Copernicus for urban resilience in Europe (2023)
Journal Article
Chrysoulakis, N., Ludlow, D., Mitraka, Z., Somarakis, G., Khan, Z., Lauwaet, D., …Holt Andersen, B. (2023). Copernicus for urban resilience in Europe. Scientific Reports, 13(1), Article 16251. https://doi.org/10.1038/s41598-023-43371-9

The urban community faces a significant obstacle in effectively utilising Earth Observation (EO) intelligence, particularly the Copernicus EO program of the European Union, to address the multifaceted aspects of urban sustainability and bolster urban... Read More about Copernicus for urban resilience in Europe.

Towards digital-twin solutions for the 15 minute city (2023)
Conference Proceeding
Ludlow, D., Khan, Z., Chrysoulakis, N., & Mitraka, Z. (2023). Towards digital-twin solutions for the 15 minute city. In 2023 Joint Urban Remote Sensing Event (JURSE). https://doi.org/10.1109/jurse57346.2023.10144161

The Covid-19 pandemic and the climate emergency have re-emphasised the need to re-evaluate urban governance and planning process in cities. The "new-normal"and digital transformations offer catalysts to drive and deliver climate mitigation in cities.... Read More about Towards digital-twin solutions for the 15 minute city.

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.

Copernicus for urban resilience in Europe: Final results from the CURE project (2023)
Presentation / Conference
Chrysoulakis, N., Ludlow, D., Mitraka, Z., Somarakis, G., Khan, Z., Lauwaet, D., …Holt Andersen, B. (2023, April). Copernicus for urban resilience in Europe: Final results from the CURE project. Presented at European Geosciences Union (EGU) General Assembly 2023, Vienna, Austria

A major challenge for the urban community is the exploitation of Earth Observation intelligence in managing in the multidimensional nature of urban sustainability towards enhancing urban resilience, particularly in relation to the challenges of clima... Read More about Copernicus for urban resilience in Europe: Final results from the CURE project.

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.