Outputs (9)

Time series forecasting for air quality with structured and unstructured data using artificial neural networks (2025)
Journal Article

Various machine learning algorithms exist to predict air quality, but they can only analyse structured data gathered from monitoring stations. However, the concentration of certain pollutants, such as PM2.5 and PM10, can be visually significant when... Read More about Time series forecasting for air quality with structured and unstructured data using artificial neural networks.

Horizontal autoscaling of virtual machines in hybrid cloud infrastructures: Current status, challenges, and opportunities (2025)
Journal Article

The deployment of virtual machines (VMs) within the Infrastructure as a Service (IaaS) layer across public, private, or hybrid cloud infrastructures is prevalent in various organisational settings for hosting essential business services. However, ach... Read More about Horizontal autoscaling of virtual machines in hybrid cloud infrastructures: Current status, challenges, and opportunities.

Energy optimisation in aquaponics - Integrating renewable source and water as energy buffer for sustainable food production (2025)
Journal Article

Aquaponics, a symbiotic integration of aquaculture and hydroponics, has emerged as a promising solution for sustainable food production, offering efficient water and land utilisation. However, the high energy costs associated with maintaining optimal... Read More about Energy optimisation in aquaponics - Integrating renewable source and water as energy buffer for sustainable food production.

Monitoring environmental factors for optimal health and welfare of broiler chickens using sensor technology in Southwest Nigeria (2024)
Presentation / Conference Contribution

Multiple factors affect the health and welfare of broiler chickens under the deep litter system. These factors include daily variations in temperature, humidity, noxious gases (such as ammonia, hydrogen sulphide, and nitrous oxide), particulate matte... Read More about Monitoring environmental factors for optimal health and welfare of broiler chickens using sensor technology in Southwest Nigeria.

Data augmentation for predictive maintenance: Synthesising aircraft landing gear datasets (2024)
Journal Article

In the aviation industry, predictive maintenance is vital to minimise Unscheduled faults and maintain the operational availability of aircraft. However, the amount of open data available for research is limited due to the proprietary nature of aircra... Read More about Data augmentation for predictive maintenance: Synthesising aircraft landing gear datasets.

Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities (2024)
Journal Article

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

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

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

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.