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Communication and dissemination monitoring phase 1
This is deliverable 5.3 of the AI4REALNET project. This document provides an overview of the work developed so far in terms of communication and dissemination activities of the project, analysing the communication and the dissemination plans.
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Exploitation plan and strategy phase 2
This is deliverable 5.4 of the AI4REALNET project. This document outlines how AI4REALNET’s results will be brought to market, ensuring widespread adoption, long-term sustainability, and maximising the potential for project perpetuation.
X-ray Anomaly Detection in Industrial Pipelines
As Deep Neural Network (DNN)-based algorithms are improving, pivotal changes are happening towards efficient and effective automation in the field of industrial inspection.
Foreground-Aware Knowledge Distillation for Enhanced Damage Detection
Damage detection remains a critical challenge, especially within the industrial automation sector, necessitating the development of advanced inspection technologies and their potential applications.
Advancing Industrial inspection: A Dataset for Automated Damage Detection in Insulated Pipes
The application of automated inspection for industrial pipe damage detection is attracting substantial research and development interest.
Undergraduate University AI Education: A Survey
Artificial Intelligence (AI) has become a pivotal technology of the 21st century, prompting the rapid development of undergraduate and postgraduate AI education programs worldwide.