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Data Sovereignty for AI Pipelines: Lessons Learned from an Industrial Project at Mondragon Corporation
(ACM, 2022)
The establishment of collaborative AI pipelines, in which multiple organizations share their data and models, is often complicated by lengthy data governance processes and legal clarifications. Data sovereignty solutions, ...
Advantages of Arrowhead Framework for the Machine Tooling Industry
(IEEE, 2020)
Immersed in the digital era and fully experiencing the changes introduced by the new industrial revolution of the so-called Industry 4.0, there are still many aspects of industrial digitization to resolve. Interoperability ...
CRESCO Framework and Checker: Automatic Generation of Reflective UML State Machine's C++ Code and Checker
(IEEE, 2020)
Software Systems are becoming increasingly complex leading to new Validation & Verification challenges. Model checking and testing techniques are used at development time while runtime verification aims to verify that a ...
A Holistic and Interoperable Approach towards the Implementation of Services for the Digital Transformation of Smart Cities: The Case of Vitoria-Gasteiz
(MDPI, 2021)
Cities in the 21st century play a major role in the sustainability and climate impact reduction challenges set by the European agenda. As the population of cities grows and their environmental impact becomes more evident, ...
MODDALS Methodology for Designing Layered Ontology Structures
(IOS Press, 2020)
Global ontologies include common vocabularies to provide interoperability among different applications. These ontologies require a balance of reusability-usability to minimise the ontology reuse effort in different ...
Data-driven energy resource planning for Smart Cities
(IEEE, 2020)
Cities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT ...