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48-tik 1-10 emaitza erakusten
Architecture for managing AAS-based business processes
(Elsevier, 2023)
Industries frequently encounter the need to orchestrate services provided by devices as business processes. These industrial business process models need to meet Industry 4.0 (I4.0) specifications to handle unpredictable ...
Shielded Reinforcement Learning: A review of reactive methods for safe learning
(IEEE, 2023)
Reinforcement Learning (RL) algorithms are showing promising results in simulated environments, but their replication in real physical applications, even more so in safety-critical applications, is not yet guaranteed. ...
A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots
(IEEE, 2023)
The trend towards industrialization and digitalization has led more and more companies to deploy robots in their manufacturing facilities. In the field of collaborative robotics, the KUKA LBR iiwa is one of the benchmark ...
E-Learning Experience with Flipped Classroom Quizzes Using Kahoot, Moodle and Google Forms: A Comparative Study
(ACM, 2023)
In recent years, the use of technology is gaining weight in higher education. Today’s students are digital natives and e-Learning is common for them. Furthermore, they find traditional teaching methods tedious. In order ...
Identification and Prioritisation of Professional Transitions in Manufacturing Operations in the New Context of Industry 4.0
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
This paper examines the results from the identification and prioritisation phase of professional transitions towards the requalification of digital job operators. It was developed as part of the ‘Learning Solutions for ...
Exploring the transformation of user interactions to Adaptive Human-Machine Interfaces
(ACM, 2023)
Human-machine interfaces (HMI) facilitate communication between humans and machines, and their importance has increased in modern technology. However, traditional HMIs are often static and do not adapt to individual user ...
A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes
(Elsevier, 2023)
For Industry 4.0, tool condition monitoring (TCM) of machining processes aims to increase process efficiency and quality and lower tool maintenance costs. To this end, TCM systems monitor variables of interest, such as ...
Application of material constitutive and friction models parameters identified with AI and ALE to a CEL orthogonal cutting model
(Elsevier B.V., 2023)
The identification of input parameters for funite element modelling of the cutting process is still a complex task as the experimental testing equipment cannot reach its combined levels of strains, strain rates and ...
Force Prediction Methodology for Complex Shape Broaching
(Elsevier B.V., 2023)
Broaching is widely used for the manufacturing of complex geometries which requires high dimensional accuracy and surface finishing (e.g., fir tree, dovetail). A software development for force prediction in complex shape ...