Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation. - Jibinraj Antony; Florian Schlather; Georgij Safronov; Markus Schmitz; Kristof Van Laerhoven (CoRR, 2021)

Industrial digitalization in the industry 4.0 era: Classification, reuse and authoring of digital models on Digital Twin platforms. - Valentina Zambrano; Johannes Mueller-Roemer; Michael Sandberg; Prasad Talasila; Davide Zanin; Peter Gorm Larsen; Elke Loeschner; Wolfgang Thronicke; Dario Pietraroia; Giuseppe Landolfi; Alessandro Fontana; Manuel Laspalas; et al. (Array, 2022)

Interoperable Data Analytics Reference Architectures Empowering Digital-Twin-Aided Manufacturing. - Attila Csaba Marosi; Márk Emodi; Ákos Hajnal; Róbert Lovas; Tamás Kiss; Valerie Poser; Jibinraj Antony; Simon Bergweiler; Hamed Hamzeh; James Deslauriers; József Kovács (Future Internet, 2022)

Recognising Worker Intentions by Assembly Step Prediction. - Stefan-Alexandru Precup; Snehal Walunj; Arpad Gellert; Christiane Plociennik; Jibinraj Antony; Constantin-Bala Zamfirescu; Martin Ruskowski (ETFA, 2023)

Enhancing Object Detection Performance for Small Objects through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios. - Jibinraj Antony; Vinit Hegiste; Ali Nazeri; Hooman Tavakoli; Snehal Walunj; Christiane Plociennik; Martin Ruskowski (CoRR, 2024)

Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques. - Vinit Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski (CoRR, 2024)

Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications. - Jibinraj Antony; Dorotea Jalusic; Simon Bergweiler; Ákos Hajnal; Veronika Zlabravec; Márk Emodi; Dejan Strbad; Tatjana Legler; Attila Csaba Marosi (J. Grid Comput., 2024)