Concetta Semeraro
Concetta Semeraro
Assistant Professor, University of Sharjah
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Cited by
Cited by
Digital twin paradigm: A systematic literature review
C Semeraro, M Lezoche, H Panetto, M Dassisti
Computers in Industry 130, 103469, 2021
Industry 4.0 paradigm: The viewpoint of the small and medium enterprises
M Dassisti, H Panetto, M Lezoche, P Merla, C Semeraro, A Giovannini, ...
7th International Conference on Information Society and Technology, ICIST …, 2017
Battery monitoring and prognostics optimization techniques: challenges and opportunities
C Semeraro, M Caggiano, AG Olabi, M Dassisti
Energy 255, 124538, 2022
Digital twin application in energy storage: Trends and challenges
C Semeraro, AG Olabi, H Aljaghoub, AH Alami, M Al Radi, M Dassisti, ...
Journal of Energy Storage 58, 106347, 2023
Hybrid exergetic analysis-LCA approach and the Industry 4.0 paradigm: assessing manufacturing sustainability in an Italian SME
M Dassisti, C Semeraro, M Chimenti
Procedia Manufacturing 33, 655-662, 2019
Recent progress towards photovoltaics’ circular economy
MKH Rabaia, C Semeraro, AG Olabi
Journal of Cleaner Production, 133864, 2022
Artificial neural networks applications in partially shaded PV systems
AG Olabi, MA Abdelkareem, C Semeraro, M Al Radi, H Rezk, O Muhaisen, ...
Thermal Science and Engineering Progress, 101612, 2022
Sustainability Issues in Manufacturing and Operation of Second-Generation Flow Batteries
Concetta Semeraro, Abdul-Ghani Olabi, Michele Dassisti
Encyclopedia of Smart Materials 2, 192-197, 2021
Exergetic model as a guideline for implementing the smart-factory paradigm in small medium enterprises: the brovedani case
M Dassisti, N Siragusa, C Semeraro
Procedia CIRP 67, 534-539, 2018
Digital twin in battery energy storage systems: Trends and gaps detection through association rule mining
C Semeraro, H Aljaghoub, MA Abdelkareem, AH Alami, AG Olabi
Energy 273, 127086, 2023
Data-driven invariant modelling patterns for digital twin design
C Semeraro, M Lezoche, H Panetto, M Dassisti
Journal of Industrial Information Integration 31, 100424, 2023
Data-driven pattern-based constructs definition for the digital transformation modelling of collaborative networked manufacturing enterprises
C Semeraro, M Lezoche, H Panetto, M Dassisti, S Cafagna
Collaborative Networks and Digital Transformation: 20th IFIP WG 5.5 Working …, 2019
Application of artificial intelligence techniques for modeling, optimizing, and controlling desalination systems powered by renewable energy resources
ET Sayed, AG Olabi, K Elsaid, M Al Radi, C Semeraro, MH Doranehgard, ...
Journal of Cleaner Production 413, 137486, 2023
Interoperability maturity assessment of the digital innovation hubs
C Semeraro, H Panetto, G da Silva Serapiao, W Guédria
2nd International Conference on Innovative Intelligent Industrial Production …, 2021
A monitoring strategy for industry 4.0: Master italy srl case study
C Semeraro, H Panetto, M Lezoche, M Dassisti, S Cafagna
INSIGHT-International Council on Systems Engineering (INCOSE) 22 (4), 20-22, 2019
Smart Sustainable Manufacturing: a new Laboratory-Factory concept to test Industry 4.0 principles
M Dassisti, C Semeraro
Exergetic control charts (variability analysis in a real injection-moulding industrial application)
M Dassisti, C Semeraro
Procedia CIRP 41, 264-269, 2016
Modeling photovoltaics’ waste projection and waste management optimization
MKH Rabaia, C Semeraro, AG Olabi
Journal of Cleaner Production 388, 135947, 2023
Pattern-based digital twin for optimizing manufacturing systems: A real industrial-case application
C Semeraro, M Lezoche, H Panetto, M Dassisti
IFAC-PapersOnLine 54 (1), 307-312, 2021
Key Research Challenges in Digital Twin Applications for Demanufacturing
FA Abumadi, C Semeraro, AG Olabi, M Dassisti
IFAC-PapersOnLine 55 (10), 2551-2556, 2022
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