Mrs GIOVANNA MARTINEZ ARELLANO's Outputs (8)

A Tool for Generating and Labelling Domain Randomised Synthetic Images for Object Recognition in Manufacturing (2024)
Presentation / Conference Contribution
Martínez-Arellano, G., & Buck, M. G. (2024, October). A Tool for Generating and Labelling Domain Randomised Synthetic Images for Object Recognition in Manufacturing. Paper presented at ESAIM 2024 – 2nd European Symposium on Artificial Intelligence in Manufacturing, Athens. Greece

Reconfigurable manufacturing systems are becoming the only viable option to respond to changing product volumes and product specification , which are currently major challenges for the manufacturing industry. Part of this adaptation requires vision s... Read More about A Tool for Generating and Labelling Domain Randomised Synthetic Images for Object Recognition in Manufacturing.

Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning (2024)
Journal Article
Elshafei, B., Martínez-Arellano, G., Chaplin, J. C., & Ratchev, S. (2024). Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning. IFAC-PapersOnLine, 58(19), 789-794. https://doi.org/10.1016/j.ifacol.2024.09.202

Supply chains have been profoundly impacted by recent global disruptions, resulting in widespread shortages of parts, goods, and raw materials, significantly affecting the manufacturing sector to the extent of halting production lin... Read More about Semantic Modelling of a Manufacturing Value Chain: Disruption Response Planning.

Towards Frugal Industrial AI: a framework for the development of scalable and robust machine learning models in the shop floor (2024)
Journal Article
Martínez-Arellano, G., & Ratchev, S. (2024). Towards Frugal Industrial AI: a framework for the development of scalable and robust machine learning models in the shop floor. International Journal of Advanced Manufacturing Technology, https://doi.org/10.1007/s00170-024-14508-5

Artificial intelligence (AI) among other digital technologies promise to deliver the next level of process efficiency of manufacturing systems. Although these solutions such as machine learning (ML) based condition monitoring and quality inspection a... Read More about Towards Frugal Industrial AI: a framework for the development of scalable and robust machine learning models in the shop floor.

AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems (2024)
Journal Article
Carrera-Rivera, A., Larrinaga, F., Lasa, G., Martinez-Arellano, G., & Unamuno, G. (2024). AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems. User Modeling and User-Adapted Interaction, https://doi.org/10.1007/s11257-024-09414-0

Smart Product–Service Systems (S-PSS) represent an innovative business model that integrates intelligent products with advanced digital capabilities and corresponding e-services. The user experience (UX) within an S-PSS is heavily influenced by the c... Read More about AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems.

Improving the Development and Reusability of Industrial AI Through Semantic Models (2024)
Presentation / Conference Contribution
Martínez-Arellano, G., & Ratchev, S. (2024, April). Improving the Development and Reusability of Industrial AI Through Semantic Models. Presented at Conference on Learning Factories 2024, University of Twente, The Netherlands

Despite some of the success of AI, particularly machine learning, in industrial applications such as condition monitoring, quality inspection and asset control , solutions are typically bespoke and not robust in the long term. There is a considerable... Read More about Improving the Development and Reusability of Industrial AI Through Semantic Models.

Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor (2024)
Presentation / Conference Contribution
MARTINEZ ARELLANO, G. (2024, June). Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor. Paper presented at FAIM 2024, Taichung, Taiwan

Artificial Intelligence (AI) among other digital technologies promise to deliver the next level of process efficiency of manufacturing systems. Although these solutions such as machine learning (ML) based condition monitoring and quality inspection a... Read More about Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor.

Semantic Knowledge Representation in Asset Administration Shells: Empowering Manufacturing Utilization (2024)
Presentation / Conference Contribution
Elshafei, B., Martínez-Arellano, G., Chaplin, J. C., Sanderson, D., & Ratchev, S. (2024, June). Semantic Knowledge Representation in Asset Administration Shells: Empowering Manufacturing Utilization. Paper presented at 33rd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2024), Taiwan, Taichung

Within the context of Industry 4.0 and the Reference Architecture Model Industrie 4.0, the Asset Administration Shell (AAS) framework has emerged as a critical component for implementing Digital Twins that facilitate a seamless data exchange within a... Read More about Semantic Knowledge Representation in Asset Administration Shells: Empowering Manufacturing Utilization.

Immune system inspired smart maintenance framework: tool wear monitoring use case (2024)
Journal Article
Pulikottil, T., Martínez-Arellano, G., & Barata, J. (2024). Immune system inspired smart maintenance framework: tool wear monitoring use case. International Journal of Advanced Manufacturing Technology, 132(9-10), 4699-4721. https://doi.org/10.1007/s00170-024-13472-4

As the manufacturing industry is moving towards the fourth industrial revolution, there is an increasing need for smart maintenance systems that could provide manufacturers with a competitive advantage by predicting failures. Despite various efforts... Read More about Immune system inspired smart maintenance framework: tool wear monitoring use case.