Nissatech Innovation Centre (Serbia)

Big-data-driven anomaly detection in industry (4.0): An approach and a case study

Ljiljana Stojanović, Marko Dinic, Nenad Stojanović et al. · 2016 · 102 citations

Engineering, Industrial Engineering, Quality Management +17

COGNITWIN – Hybrid and Cognitive Digital Twins for the Process Industry

Sailesh Abburu, Arne J. Berre, Michael Jacoby et al. · 2020 · 100 citations

Engineering, Industrial Engineering, Manufacturing Engineering +14

Data-driven Digital Twin approach for process optimization: an industry use case

Nenad Stojanović, Dejan Milenovic · 2018 · 62 citations

Engineering, Computer Science, Systems Engineering +16

Cognitive Digital Twins for Resilience in Production: A Conceptual Framework

Pavlos Eirinakis, Stavros Lounis, Stathis Plitsos et al. · Information · 2022 · 56 citations · Full text

Engineering, Industrial Engineering, Manufacturing Engineering +17

Enhancing Cognition for Digital Twins

Pavlos Eirinakis, Kostas Kalaboukas, Stavros Lounis et al. · 2020 · 54 citations

Engineering, Computer Science, Manufacturing Engineering +17