6 citations · 21 across the 9 of their papers we have counts for
6 papers · 1 filter
Robust Anomaly Map Assisted Multiple Defect Detection with Supervised Classification Techniques
Jože M. Rožanec, Patrik Zajec, Spyros Theodoropoulos +3
Industry 4.0 aims to optimize the manufacturing environment by leveraging new technological advances, such as new sensing capabilities and artificial intelligence. The DRAEM techni…
Synthetic Data Augmentation Using GAN For Improved Automated Visual Inspection
Jože M. Rožanec, Patrik Zajec, Spyros Theodoropoulos +3
Quality control is a crucial activity performed by manufacturing companies to ensure their products conform to the requirements and specifications. The introduction of artificial i…
Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks
Jože M. Rožanec, Dimitrios Papamartzivanos, Entso Veliou +4
We propose using a two-layered deployment of machine learning models to prevent adversarial attacks. The first layer determines whether the data was tampered, while the second laye…
Forecasting Sensor Values in Waste-To-Fuel Plants: a Case Study
Bor Brecelj, Beno Šircelj, Jože M. Rožanec +2
In this research, we develop machine learning models to predict future sensor readings of a waste-to-fuel plant, which would enable proactive control of the plant's operations. We…
Active Learning and Novel Model Calibration Measurements for Automated Visual Inspection in Manufacturing
Jože M. Rožanec, Luka Bizjak, Elena Trajkova +4
Quality control is a crucial activity performed by manufacturing enterprises to ensure that their products meet quality standards and avoid potential damage to the brand's reputati…
Enriching Artificial Intelligence Explanations with Knowledge Fragments
Jože M. Rožanec, Elena Trajkova, Inna Novalija +4
Artificial Intelligence models are increasingly used in manufacturing to inform decision-making. Responsible decision-making requires accurate forecasts and an understanding of the…