Displaying 47 resources
Case studies
AI fundamental blocks – beta release
This is the deliverable 2.2 of the AI4REALNET project. This work package objective consists on developing the AI fundamental blocks for augmented decision-making, namely novel AI algorithms for large-scale sequential decision-making problems.
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.