All Outputs (75)

Navigating serverless and microservices: Concise guide (2023)
Book Chapter
Aljawawdeh, H., Abuezhayeh, S., Alnatsheh, A., Qaddoumi, E., & Maghrabi, L. (2023). Navigating serverless and microservices: Concise guide. In Artificial Intelligence, Internet of Things, and Society 5.0 (585-597). Springer. https://doi.org/10.1007/978-3-031-43300-9_48

The rapid evolution of software development practices has led to the emergence of serverless and microservices architectures. These modern approaches offer various benefits, such as improved scalability, flexibility, and cost efficiency. This paper c... Read More about Navigating serverless and microservices: Concise guide.

Smooth change: Moving from monolithic to microservices with flexible methods (2023)
Book Chapter
Aljawawdeh, H., Abuezhayeh, S., Qaddoumi, E., & Maghrabi, L. (2023). Smooth change: Moving from monolithic to microservices with flexible methods. In A. Mahmood, & A. Hannoon (Eds.), Artificial Intelligence, Internet of Things, and Society 5.0 (559-572). Springer. https://doi.org/10.1007/978-3-031-43300-9_46

This paper presents a comprehensive approach for migrating legacy monolithic systems to microservices architectures, focusing on adaptive synchronization techniques to streamline the process. Our proposed methodology enhances software systems’ scalab... Read More about Smooth change: Moving from monolithic to microservices with flexible methods.

Predicting social trust from implicit feedback (2023)
Conference Proceeding
Oshodin, E. (2023). Predicting social trust from implicit feedback. In Artificial Intelligence XL (228-233). https://doi.org/10.1007/978-3-031-47994-6_20

Element of trust exists in every network structure of diverse fields, but suitable computational methods for evaluating the trust remain a problem since there are different definitions of trust in diverse fields where several entities interact with e... Read More about Predicting social trust from implicit feedback.

DPFTT: Distributed particle filter for target tracking in the Internet of Things (2023)
Conference Proceeding
Boulkaboul, S., Djenouri, D., & Bagaa, M. (2023). DPFTT: Distributed particle filter for target tracking in the Internet of Things. In 2023 12th IFIP/IEEE International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN). https://doi.org/10.23919/PEMWN58813.2023.10304926

A novel distributed particle filter algorithm for target tracking is proposed in this paper. It uses new metrics and addresses the measurement uncertainty problem by adapting the particle filter to environmental changes and estimating the kinematic (... Read More about DPFTT: Distributed particle filter for target tracking in the Internet of Things.

Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security (2023)
Conference Proceeding
White, J., & Legg, P. (in press). Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security.

Federated learning is an effective approach for training a global machine learning model. It uses locally acquired data without having to share local data with the centralised server. This method provides a machine learning model beneficial for all p... Read More about Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security.

Multi-agent learning of asset maintenance plans through localised subnetworks (2023)
Journal Article
Pérez Hernández, M., Puchkova, A., & Parlikad, A. K. (2024). Multi-agent learning of asset maintenance plans through localised subnetworks. Engineering Applications of Artificial Intelligence, 127(Part B), Article 107362. https://doi.org/10.1016/j.engappai.2023.107362

Maintenance planning of networked multi-asset systems is a complex problem due to the inherent individual and collective asset constraints and dynamics as well as the size of the system and interdependencies among assets. Although multi-asset systems... Read More about Multi-agent learning of asset maintenance plans through localised subnetworks.

Generating event sensor readings using spatial correlations and a graph sensor adversarial model for energy saving in IoT: GSAVES (2023)
Conference Proceeding
Laidi, R., Djenouri, D., Bagaa, M., Khelladi, L., & Djenouri, Y. (2023). Generating event sensor readings using spatial correlations and a graph sensor adversarial model for energy saving in IoT: GSAVES. In 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). https://doi.org/10.1109/pimrc56721.2023.10293922

This work targets a comprehensive model enabling energy-constrained IoT (Internet of Things) sensor devices to be inactive for extended periods while estimating their readings of real-time events. Although events seem semantically uncoupled, they are... Read More about Generating event sensor readings using spatial correlations and a graph sensor adversarial model for energy saving in IoT: GSAVES.

A hybrid methodology to assess cyber resilience of IoT in energy management and connected sites (2023)
Journal Article
Mehmood, A., Epiphaniou, G., Maple, C., Ersotelos, N., & Wiseman, R. (2023). A hybrid methodology to assess cyber resilience of IoT in energy management and connected sites. Sensors, 23(21), Article 8720. https://doi.org/10.3390/s23218720

Cyber threats and vulnerabilities present an increasing risk to the safe and frictionless execution of business operations. Bad actors ("hackers"), including state actors, are increasingly targeting the operational technologies (OTs) and industrial c... Read More about A hybrid methodology to assess cyber resilience of IoT in energy management and connected sites.

What will make misinformation spread: An XAI perspective (2023)
Conference Proceeding
Bo, H., Wu, Y., You, Z., McConville, R., Hong, J., & Liu, W. (2023). What will make misinformation spread: An XAI perspective. In L. Longo (Ed.), Explainable Artificial Intelligence (321-337). https://doi.org/10.1007/978-3-031-44067-0_17

Explainable Artificial Intelligence (XAI) techniques can provide explanations of how AI systems or models make decisions, or what factors AI considers when making the decisions. Online social networks have a problem with misinformation which is known... Read More about What will make misinformation spread: An XAI perspective.

Diagnosing and remediating mathematical common student errors in e-assessment questions (A case study) (2023)
Thesis
Sikurajapathi, B. Diagnosing and remediating mathematical common student errors in e-assessment questions (A case study). (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/10505487

Mistakes and misconceptions in mathematics are as common as those in any real life situation. The errors frequently made by a myriad of students, known as Common Students Errors (CSEs), heavily influence their ability to learn and retain mathematics.... Read More about Diagnosing and remediating mathematical common student errors in e-assessment questions (A case study).

Learning in ensembles of proteinoid microspheres (2023)
Journal Article
Mougkogiannis, P., & Adamatzky, A. (2023). Learning in ensembles of proteinoid microspheres. Royal Society Open Science, 10(10), Article 230936. https://doi.org/10.1098/rsos.230936

Proteinoids are thermal proteins which form microspheres in water in the presence of salt. Ensembles of proteinoid microspheres exhibit passive nonlinear electrical properties and active neuron-like spiking of electrical potential. We propose that va... Read More about Learning in ensembles of proteinoid microspheres.

A secure routing approach based on league championship algorithm for wireless body sensor networks in healthcare (2023)
Journal Article
Hosseinzadeh, M., Mohammed, A. H., Rahmani, A. M., A Alenizi, F., Zandavi, S. M., Yousefpoor, E., …Tightiz, L. (2023). A secure routing approach based on league championship algorithm for wireless body sensor networks in healthcare. PLoS ONE, 18(10), Article e0290119. https://doi.org/10.1371/journal.pone.0290119

Patients must always communicate with their doctor for checking their health status. In recent years, wireless body sensor networks (WBSNs) has an important contribution in Healthcare. In these applications, energy-efficient and secure routing is rea... Read More about A secure routing approach based on league championship algorithm for wireless body sensor networks in healthcare.

The effect of parameters on the success of heuristic algorithms in personalized personnel scheduling (2023)
Conference Proceeding
Gülmez, E., Urgancı, K. B., Koruca, H. İ., & Aydin, M. E. (2023). The effect of parameters on the success of heuristic algorithms in personalized personnel scheduling. In Advances in Intelligent Manufacturing and Service System Informatics (600-611). https://doi.org/10.1007/978-981-99-6062-0_55

Work-life balance is an approach that aims to enable employees to balance their work, family, and private lives. It is seen that the factors in the work-life balance are not relevant to work and family, considering the activities that one wishes for... Read More about The effect of parameters on the success of heuristic algorithms in personalized personnel scheduling.

An agent-based approach for energy-efficient sensor networks in logistics (2023)
Journal Article
Kaiser, J., Hernández, M. P., Kaupe, V., Kurrek, P., & McFarlane, D. (2024). An agent-based approach for energy-efficient sensor networks in logistics. Engineering Applications of Artificial Intelligence, 127(Part A), Article 107198. https://doi.org/10.1016/j.engappai.2023.107198

As part of the fourth industrial revolution, logistics processes are augmented with connected information systems to improve their reliability and sustainability. Above all, customers can analyse process data obtained from the networked logistics ope... Read More about An agent-based approach for energy-efficient sensor networks in logistics.

The incidence of physician-diagnosed food allergy declines with age: A specialist UK centre experience (2023)
Journal Article
Grammatikos, A., Moghaddas, F., White, P., Fox, C., Johnston, S., Tsiougkos, N., & Gompels, M. (2024). The incidence of physician-diagnosed food allergy declines with age: A specialist UK centre experience. Clinical and Experimental Allergy, 54(2), 143-144. https://doi.org/10.1111/cea.14405

The incidence of physician-diagnosed food allergy declined with age in a cohort of UK adults. Men were more likely to be diagnosed with food allergy than women. The incidence of shellfish, wheat & cereals and vegetable & herb allergies increase... Read More about The incidence of physician-diagnosed food allergy declines with age: A specialist UK centre experience.

Long-term patient-reported outcomes of immediate breast reconstruction after mastectomy for breast cancer: Population-based cohort study (2023)
Journal Article
Johnson, L., White, P., Jeevan, R., Browne, J., Gulliver-Clarke, C., O’Donoghue, J., …Potter, S. (2023). Long-term patient-reported outcomes of immediate breast reconstruction after mastectomy for breast cancer: Population-based cohort study. British Journal of Surgery, 110(12), 1815-1823. https://doi.org/10.1093/bjs/znad276

BACKGROUND: Breast reconstruction is offered to improve quality of life for women after mastectomy for breast cancer, but information regarding the long-term patient-reported outcomes of different reconstruction procedures is currently lacking. The B... Read More about Long-term patient-reported outcomes of immediate breast reconstruction after mastectomy for breast cancer: Population-based cohort study.

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.

Disclosure control issues in complex medical data (2023)
Presentation / Conference
Green, E., Ritchie, F., Smith, J., Western, D., & White, P. (2023, September). Disclosure control issues in complex medical data. Paper presented at UNECE/Eurostat Expert Group on Statisticial Data Confidentiality, Wiesbaden

The covid19 pandemic assisted the acceleration of routine access to medical records for research. In the UK platforms including OpenSafely and NHSDigital, alongside emerging hospital trust based Trusted Research Environments (TREs), demonstrate the u... Read More about Disclosure control issues in complex medical data.

SACRO: Semi-Automated Checking Of Research Outputs (2023)
Presentation / Conference
Smith, J., Preen, R., Albashir, M., Ritchie, F., Green, E., Davy, S., …Bacon, S. (2023, September). SACRO: Semi-Automated Checking Of Research Outputs. Paper presented at UNECE Expert meeting on Statistical Data Confidentiality, Wiesbaden, Germany

Output checking can require significant resources, acting as a barrier to scaling up the research use of confidential data. We report on a project, SACRO, that is developing a general-purpose, semi-automatic output checking systems that works across... Read More about SACRO: Semi-Automated Checking Of Research Outputs.

Knowledge guided deep learning for general-purpose computer vision applications (2023)
Conference Proceeding
Djenouri, Y., Belbachir, A. N., Jhaveri, R. H., & Djenouri, D. (2023). Knowledge guided deep learning for general-purpose computer vision applications. In Computer Analysis of Images and Patterns (185-194). https://doi.org/10.1007/978-3-031-44237-7_18

This research targets general-purpose smart computer vision that eliminates reliance on domain-specific knowledge to reach adaptable generic models for flexible applications. It proposes a novel approach in which several deep learning models are trai... Read More about Knowledge guided deep learning for general-purpose computer vision applications.