All Outputs (3)

Using Citizen Science to Complement IoT Data Collection: A Survey of Motivational and Engagement Factors in Technology-Centric Citizen Science Projects (2021)
Journal Article
Ali, M. U., Mishra, B. K., Thakker, D., Mazumdar, S., & Simpson, S. (2021). Using Citizen Science to Complement IoT Data Collection: A Survey of Motivational and Engagement Factors in Technology-Centric Citizen Science Projects. IoT, 2(2), 275-309. https://doi.org/10.3390/iot2020015

A key aspect of the development of Smart Cities involves the efficient and effective management of resources to improve liveability. Achieving this requires large volumes of sensors strategically deployed across urban areas. In many cases, however, i... Read More about Using Citizen Science to Complement IoT Data Collection: A Survey of Motivational and Engagement Factors in Technology-Centric Citizen Science Projects.

Explainable artificial intelligence for developing smart cities solutions (2020)
Journal Article
Thakker, D., Mishra, B. K., Abdullatif, A., Mazumdar, S., & Simpson, S. (2020). Explainable artificial intelligence for developing smart cities solutions. Smart Cities, 3(4), 1353-1382. https://doi.org/10.3390/smartcities3040065

Traditional Artificial Intelligence (AI) technologies used in developing smart cities solutions, Machine Learning (ML) and recently Deep Learning (DL), rely more on utilising best representative training datasets and features engineering and less on... Read More about Explainable artificial intelligence for developing smart cities solutions.

A novel application of deep learning with image cropping: a smart city use case for flood monitoring (2020)
Journal Article
Mishra, B. K., Thakker, D., Mazumdar, S., Neagu, D., Gheorghe, M., & Simpson, S. (2020). A novel application of deep learning with image cropping: a smart city use case for flood monitoring. Journal of Reliable Intelligent Environments, 6(1), 51-61. https://doi.org/10.1007/s40860-020-00099-x

Event monitoring is an essential application of Smart City platforms. Real-time monitoring of gully and drainage blockage is an important part of flood monitoring applications. Building viable IoT sensors for detecting blockage is a complex task due... Read More about A novel application of deep learning with image cropping: a smart city use case for flood monitoring.