| Biomimetics: Process, tools and practice PE Fayemi, K Wanieck, C Zollfrank, N Maranzana, A Aoussat Bioinspiration & biomimetics 12 (1), 011002, 2017 | 196 | 2017 |
| Biomimetics and its tools K Wanieck, PE Fayemi, N Maranzana, C Zollfrank, S Jacobs Bioinspired, Biomimetic and Nanobiomaterials 6 (2), 53-66, 2017 | 129 | 2017 |
| Bio-inspired design characterisation and its links with problem solving tools PE Fayemi, N Maranzana, A Aoussat, G Bersano DS 77: Proceedings of the DESIGN 2014 13th International Design Conference …, 2014 | 59 | 2014 |
| What do we learn from good practices of biologically inspired design in innovation? J Chirazi, K Wanieck, PE Fayemi, C Zollfrank, S Jacobs Applied Sciences 9 (4), 650, 2019 | 53 | 2019 |
| Innovation par la conception bio-inspirée: proposition d'un modèle structurant les méthodes biomimétiques et formalisation d'un outil de transfert de connaissances PE Fayemi Ecole nationale supérieure d'arts et métiers-ENSAM, 2016 | 22 | 2016 |
| An eco-design methodology based on a-LCA and TRIZ G Bersano, PE Fayemi, M Schoefer, C Spreafico Sustainable Design and Manufacturing 2017: Selected papers on Sustainable …, 2017 | 13 | 2017 |
| Assessment of the biomimetic toolset—Design Spiral methodology analysis PE Fayemi, N Maranzana, A Aoussat, G Bersano ICoRD’15–Research into Design Across Boundaries Volume 2: Creativity …, 2015 | 12 | 2015 |
| Modeling biological systems to facilitate their selection during a bio-inspired design process PEI Fayemi, N Maranzana, A Aoussat, T Chekchak, G Bersano | 10 | 2015 |
| Innovative technical creativity methodology for bio-inspired design PE Fayemi, M Gilles, C Gazo Automated Invention for Smart Industries: 18th International TRIZ Future …, 2018 | 9 | 2018 |
| Challenges of Stream Learning for Predictive Maintenance in the Railway Sector MH Le Nguyen, F Turgis, PE Fayemi, A Bifet IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020 | 6 | 2020 |
| Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams MH Le-Nguyen, F Turgis, PE Fayemi, A Bifet 2022 IEEE International Conference on Big Data (Big Data), 1866-1873, 2022 | 4 | 2022 |
| Application of TRIZ and innovation management theory on decision support for transport infrastructure G Bersano, PE Fayemi New Opportunities for Innovation Breakthroughs for Developing Countries and …, 2019 | 4 | 2019 |
| An Industrial Application of a TRIZ Based Eco-Design Approach D Russo, C Rizzi, PE Fayemi Sustainable Design and Manufacturing 2017: Selected papers on Sustainable …, 2017 | 4 | 2017 |
| Innovation through bio-inspired design: suggestion of a structuring model for biomimetic process and methods PE Fayemi Arts et Métiers Institute of Technology Hesam University: Paris, France, 2016 | 4 | 2016 |
| Biomimétisme et supports méthodologiques PE FAYEMI, T CHEKCHAK, G BERSANO, N MARANZANA, A AOUSSAT Editions TI| Techniques de l'Ingénieur, 2015 | 4 | 2015 |
| Contextualisation des outils biomimétiques afin de développer une nouvelle méthodologie PE Fayemi, N Maranzana, A Aoussat, G Bersano Confere conference, 2013 | 4 | 2013 |
| A complete streaming pipeline for real-time monitoring and predictive maintenance MH Le Nguyen, F Turgis, PE Fayemi, A Bifet Proceedings of the 31st European safety and reliability conference, 2119, 2021 | 3 | 2021 |
| Design entity recognition for bio-inspired design supervised state of the art D Russo, PE Fayemi, M Spreafico, G Bersano Automated Invention for Smart Industries: 18th International TRIZ Future …, 2018 | 3 | 2018 |
| Using TRIZ to Combine Advantages of Different Concepts in an Eco-Design Process PE Fayemi, C Vitoux, M Schöfer, G Bersano Sustainable Design and Manufacturing 2016, 513-523, 2016 | 3 | 2016 |
| Real-time learning for real-time data: online machine learning for predictive maintenance of railway systems MH Le-Nguyen, F Turgis, PE Fayemi, A Bifet Transportation Research Procedia 72, 171-178, 2023 | 2 | 2023 |
Davide Russofull professor of product and process innovation, University of Bergamo在 unibg.it 的电子邮件经过验证
Davide Russofull professor of product and process innovation, University of Bergamo在 unibg.it 的电子邮件经过验证