All Outputs (59)

Transforming programming education: The effectiveness of motivational scenario-based design in serious games (2025)
Journal Article

Programming education faces persistent challenges, particularly in sustaining learner engagement and motivation while teaching abstract concepts like algorithms, data structures, and problem-solving skills. Traditional methods, focused heavily on the... Read More about Transforming programming education: The effectiveness of motivational scenario-based design in serious games.

Automation of predictive maintenance: An experimental framework for aircraft landing gear (2025)
Journal Article

Terabytes of data are recorded per flight by modern aircraft, providing a goldmine for predictive maintenance modeling, however, the required domain knowledge to build ML tools limits the number developed by airline manufacturers each year. Automated... Read More about Automation of predictive maintenance: An experimental framework for aircraft landing gear.

Monitoring environmental factors for optimal health and welfare of broiler chickens using sensor technology in Southwest Nigeria (2025)
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.

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.

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.

AgroSupportAnalytics: Big data recommender system for agricultural farmer complaints in Egypt (2023)
Journal Article

The world's agricultural needs are growing with the pace of increase in its population. Agricultural farmers play a vital role in our society by helping us in fulfilling our basic food needs. So, we need to support farmers to keep up their great work... Read More about AgroSupportAnalytics: Big data recommender system for agricultural farmer complaints in Egypt.

Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities (2022)
Journal Article

The increase in available data from sensors embedded in industrial equipment has led to a recent rise in the use of industrial predictive maintenance. In the aircraft industry, predictive maintenance has become an essential tool for optimizing mainte... Read More about Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities.

Application of region-based video surveillance in smart cities using deep learning (2021)
Journal Article

Smart video surveillance helps to build more robust smart city environment. The varied angle cameras act as smart sensors and collect visual data from smart city environment and transmit it for further visual analysis. The transmitted visual data is... Read More about Application of region-based video surveillance in smart cities using deep learning.

Arabic semantic similarity approach for farmers’ complaints (2021)
Journal Article

Semantic similarity is applied for many areas in Natural Language Processing, such as information retrieval, text classification, plagiarism detection, and others. Many researchers used semantic similarity for English texts, but few used for Arabic d... Read More about Arabic semantic similarity approach for farmers’ complaints.

AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt (2021)
Journal Article

Sustainable Farming requires up-to-date advice on crop diseases, patterns, and adequate prevention actions to face developing circumstances. Currently, in developing countries like Egypt, farmers’ access to such information is extremely limited due t... Read More about AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt.

An ontology-based compliance audit framework for medical data sharing across Europe (2021)
Journal Article

Complying with privacy in multi-jurisdictional health domains is important as well as challenging. The compliance management process will not be efficient unless it manages to show evidences of explicit verification of legal requirements. In order to... Read More about An ontology-based compliance audit framework for medical data sharing across Europe.

IoT technologies for livestock management: A review of present status, opportunities, and future trends (2021)
Journal Article

The world population currently stands at about 7 billion amidst an expected increase in 2030 from 9.4 billion to around 10 billion in 2050. This burgeoning population has continued to influence the upward demand for animal food. Moreover, the managem... Read More about IoT technologies for livestock management: A review of present status, opportunities, and future trends.

Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector (2020)
Presentation / Conference Contribution

Telecom sector has always been working hard to improve network quality to satisfy end user services. Fixing telecom network errors (hardware and software) precisely and quickly is a main factor to improve quality of services. Telecom operators are sp... Read More about Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector.

Uncertainty assisted robust tuberculosis identification with Bayesian convolutional neural networks (2020)
Journal Article

Tuberculosis (TB) is an infectious disease that can lead towards death if left untreated. TB detection involves extraction of complex TB manifestation features such as lung cavity, air space consolidation, endobronchial spread, and pleural effusions... Read More about Uncertainty assisted robust tuberculosis identification with Bayesian convolutional neural networks.