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Optimal manufacturing configuration selection: sequential decision making and optimization using reinforcement learning
(Elsevier, 2023)
In manufacturing, different costs must be considered when selecting the optimal manufacturing configuration. Costs include manufacturing costs, material costs, labor costs, and overhead costs. Optimal manufacturing ...
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 ...
Towards an Asset Administration Shell scenario: a use case for interoperability and standardization in Industry 4.0
(IEEE, 2020)
The new paradigm of the Industry 4.0 centers on the digitalization of assets to realize a new industrial revolution. Standardization and interoperability are key for the successful implementation of this digitalization ...
Enhancing Flexibility in Industry 4.0 Workflows: A Context-Aware Component for Dynamic Service Orchestration
(Elsevier, 2024)
Manufacturing processes of the future will rely on standards for asset interoperability and service orchestration. The Asset Administration Shell (AAS) facilitates information exchange among Industry 4.0 assets, while ...
Structured dataset of human-machine interactions enabling adaptive user interfaces
(Springer Nature, 2023)
This article introduces a dataset of human-machine interactions collected in a controlled and structured manner. The aim of this dataset is to provide insights into user behavior and support the development of adaptive ...
Towards an Advanced Artificial Intelligence Architecture through Asset Administration Shell and Industrial Data Spaces
(2023)
This article develops an architecture for the implementation of Artificial Intelligence in the manufacturing value chain based on standard technologies and data spaces. The standards considered are IEC 63278 “Asset ...
Bridging the Gap Between IDS and Industry 4.0 – Lessons Learned and Recommendations for the Future
(International Data Spaces Association, 2024)
MAWA: Enhancing mobile web browsing through web augmentation for improved user experience
(Elsevier, 2024)
In recent years, mobile devices have witnessed an exceptional surge in web browsing, emerging as the primary information source. Developers, however, struggle to cater to every user’s needs, compelling users to customize ...