Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Fortuna, Blaz"'
Autor:
Rožanec, Jože M., Montini, Elias, Cutrona, Vincenzo, Papamartzivanos, Dimitrios, Klemenčič, Timotej, Fortuna, Blaž, Mladenić, Dunja, Veliou, Entso, Giannetsos, Thanassis, Emmanouilidis, Christos
Industrial revolutions have historically disrupted manufacturing by introducing automation into production. Increasing automation reshapes the role of the human worker. Advances in robotics and artificial intelligence open new frontiers of human-mach
Externí odkaz:
http://arxiv.org/abs/2307.05508
Autor:
Rožanec, Jože M., Zajec, Patrik, Theodoropoulos, Spyros, Koehorst, Erik, Fortuna, Blaž, Mladenić, Dunja
Industry 4.0 aims to optimize the manufacturing environment by leveraging new technological advances, such as new sensing capabilities and artificial intelligence. The DRAEM technique has shown state-of-the-art performance for unsupervised classifica
Externí odkaz:
http://arxiv.org/abs/2212.09352
Autor:
Rožanec, Jože M., Zajec, Patrik, Theodoropoulos, Spyros, Koehorst, Erik, Fortuna, Blaž, Mladenić, Dunja
Quality control is a crucial activity performed by manufacturing companies to ensure their products conform to the requirements and specifications. The introduction of artificial intelligence models enables to automate the visual quality inspection,
Externí odkaz:
http://arxiv.org/abs/2212.09317
Autor:
Rožanec, Jože M., Papamartzivanos, Dimitrios, Veliou, Entso, Anastasiou, Theodora, Keizer, Jelle, Fortuna, Blaž, Mladenić, Dunja
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 layer solves a domain-specific problem. We explore three sets of features
Externí odkaz:
http://arxiv.org/abs/2209.13963
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 developed models that predict sensor readings for 30 and 60 minutes in
Externí odkaz:
http://arxiv.org/abs/2209.13957
Autor:
Rožanec, Jože M., Bizjak, Luka, Trajkova, Elena, Zajec, Patrik, Keizer, Jelle, Fortuna, Blaž, Mladenić, Dunja
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 reputation. The decreased cost of sensors and connectivity enabled increasing
Externí odkaz:
http://arxiv.org/abs/2209.05486
Autor:
Rožanec, Jože M., Trajkova, Elena, Novalija, Inna, Zajec, Patrik, Kenda, Klemen, Fortuna, Blaž, Mladenić, Dunja
Artificial Intelligence models are increasingly used in manufacturing to inform decision-making. Responsible decision-making requires accurate forecasts and an understanding of the models' behavior. Furthermore, the insights into models' rationale ca
Externí odkaz:
http://arxiv.org/abs/2204.05579
Autor:
Rožanec, Jože M., Novalija, Inna, Zajec, Patrik, Kenda, Klemen, Tavakoli, Hooman, Suh, Sungho, Veliou, Entso, Papamartzivanos, Dimitrios, Giannetsos, Thanassis, Menesidou, Sofia Anna, Alonso, Ruben, Cauli, Nino, Meloni, Antonello, Recupero, Diego Reforgiato, Kyriazis, Dimosthenis, Sofianidis, Georgios, Theodoropoulos, Spyros, Fortuna, Blaž, Mladenić, Dunja, Soldatos, John
Human-centricity is the core value behind the evolution of manufacturing towards Industry 5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and human-centricity at its core. Therefore, we propose an architectu
Externí odkaz:
http://arxiv.org/abs/2203.10794
Quality control is a key activity performed by manufacturing companies to verify product conformance to the requirements and specifications. Standardized quality control ensures that all the products are evaluated under the same criteria. The decreas
Externí odkaz:
http://arxiv.org/abs/2110.09396
Quality control is a key activity performed by manufacturing enterprises to ensure products meet quality standards and avoid potential damage to the brand's reputation. The decreased cost of sensors and connectivity enabled an increasing digitalizati
Externí odkaz:
http://arxiv.org/abs/2109.02469