The conference SMART2023 included four papers in the area of artificial intelligence in industry/manufacturing, with contributions of the Dept.'s Faculty Members, Dr. T. Theodosiou και Dr. E. Papageorgiou, and PhD Candidates Mr. T. Tziolas and Mrs. A. Feleki:

1. An elevator calibration recommender system for effective defect detection and prevention by George Margetis, Nikolaos Dimitriou, Elpiniki Papageorgiou, Theodosios Theodosiou, Despoina Gavgiotaki, Konstantinos C. Apostolakis, Stavroula Ntoa, Dimitrios Tzovaras, Constantine Stephanidis. Full paper in MS11.1 - Smart manufacturing technologies, sciencesconf.org:smart2023:446205.
2. CenterNet-based models for the detection of defects in an industrial antenna assembly process by Theodosios Theodosiou, Theodoros Tziolas, Konstantinos Papageorgiou, Aikaterini Rapti, Elpiniki Papageorgiou, Sebastian Pantoja, Paschalis Charalampous, Nikolaos Dimitriou, Dimitrios Tzovaras, A Cuinas, J Mourelle, Andreas Boettinger, George Margetis. Full paper in MS11 - Smart manufacturing technologies. sciencesconf.org:smart2023:444634.
3. EfficientDet application for detection of incorrect assemblies in the antenna manufacturing process by Anna Feleki, Konstantinos Papageorgiou, Theodoros Tziolas, Aikaterini Rapti, Theodosios Theodosiou, Sebastian Pantoja, Paschalis Charalampous, Nikolaos Dimitriou, Dimitrios Tzovaras, A Cuinas, J Mourelle, Elpiniki Papageorgiou, Andreas Boettinger, George Margetis. Full paper in MS11.2 - Smart manufacturing technologies, sciencesconf.org:smart2023:444639.
4. Inspection of surface defects in metal processing industry using UNet-based architectures by Lampros Leontaris, Nikolaos Dimitriou, Apostolos Nikolousis, Dimitrios Tzovaras, Elpiniki Papageorgiou. Full paper in MS11 - Smart manufacturing technologies, sciencesconf.org:smart2023:444670.

Mr. T. Tziolas presenting one of the papers and answering to audience questions.