All Outputs (4)

Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities (2024)
Journal Article
Channa, A. A., Munir, K., Hansen, M., & Tariq, M. F. (2024). Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities. Encyclopedia, 4(1), 313-336. https://doi.org/10.3390/encyclopedia4010023

Environment changes, water scarcity, soil depletion, and urbanisation are making it harder to produce food using traditional methods in various regions and countries. Aquaponics is emerging as a sustainable food production system that produces fish a... Read More about Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities.

A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD) (2023)
Journal Article
Chan, K., Matthews, P., & Munir, K. (2023). A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD). Environments, 10(12), Article 218. https://doi.org/10.3390/environments10120218

This paper presents a new framework, “colours-of-the-wind” (COLD), which is designed to estimate air quality based on images from meteorological cameras, data analytics techniques, and the application of deep learning. Existing air quality estimation... Read More about A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD).

SWEL: A domain-specific language for modeling data-intensive workflows (2023)
Journal Article
Salado-Cid, R., Vallecillo, A., Munir, K., & Romero, J. R. (in press). SWEL: A domain-specific language for modeling data-intensive workflows. Business and Information Systems Engineering, https://doi.org/10.1007/s12599-023-00826-7

Data-intensive applications aim at discovering valuable knowledge from large amounts of data coming from real-world sources. Typically, workflow languages are used to specify these applications, and their associated engines enable the execution of th... Read More about SWEL: A domain-specific language for modeling data-intensive workflows.

Personalised learning through context-based adaptation in the serious games with gating mechanism (2023)
Journal Article
Shum, L. C., Rosunally, Y., Scarle, S., & Munir, K. (2023). Personalised learning through context-based adaptation in the serious games with gating mechanism. Education and Information Technologies, 28(10), 13077-13108. https://doi.org/10.1007/s10639-023-11695-8

When the traditional "one size fits all" approach is used in designing educational games, the game context is usually arranged in a fixed sequence. However, the designated content may not effectively support the diversity of players. The player's abi... Read More about Personalised learning through context-based adaptation in the serious games with gating mechanism.