| Progress and challenges in fabrication of wearable sensors for health monitoring S Nasiri, MR Khosravani Sensors and Actuators A: Physical 312, 112105, 2020 | 250 | 2020 |
| Fracture mechanics and mechanical fault detection by artificial intelligence methods: A review S Nasiri, MR Khosravani, K Weinberg Engineering Failure Analysis 81, 270-293, 2017 | 191 | 2017 |
| Machine learning in predicting mechanical behavior of additively manufactured parts S Nasiri, MR Khosravani Journal of materials research and technology 14, 1137-1153, 2021 | 165 | 2021 |
| Injection molding manufacturing process: Review of case-based reasoning applications MR Khosravani, S Nasiri Journal of Intelligent Manufacturing 31, 847-864, 2020 | 133 | 2020 |
| Application of case-based reasoning in a fault detection system on production of drippers MR Khosravani, S Nasiri, K Weinberg Applied Soft Computing 75, 227-232, 2019 | 66 | 2019 |
| Prediction of dynamic properties of ultra-high performance concrete by an artificial intelligence approach MR Khosravani, S Nasiri, D Anders, K Weinberg Advances in Engineering Software 127, 51-58, 2019 | 63 | 2019 |
| DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images S Nasiri, J Helsper, M Jung, M Fathi BMC bioinformatics 21, 1-13, 2020 | 62 | 2020 |
| Intelligent knowledge-based system to improve injection molding process MR Khosravani, S Nasiri, T Reinicke Journal of industrial information Integration 25, 100275, 2022 | 56 | 2022 |
| Applications of data-driven approaches in prediction of fatigue and fracture S Nasiri, MR Khosravani Materials Today Communications 33, 104437, 2022 | 44 | 2022 |
| Knowledge Management support for Quality Management to achieve higher customer satisfaction FA Ch, M Khobreh, S Nasiri, M Fathi 2009 IEEE International Conference on Electro/Information Technology, 78-83, 2009 | 27 | 2009 |
| Faults and failures prediction in injection molding process S Nasiri, MR Khosravani The International Journal of Advanced Manufacturing Technology 103, 2469-2484, 2019 | 26 | 2019 |
| Improving CBR adaptation for recommendation of associated references in a knowledge-based learning assistant system S Nasiri, J Zenkert, M Fathi Neurocomputing 250, 5-17, 2017 | 24 | 2017 |
| Knowledge representation and management based on an ontological CBR system for dementia caregiving S Nasiri, G Zahedi, S Kuntz, M Fathi Neurocomputing 350, 181-194, 2019 | 20 | 2019 |
| A medical case-based reasoning approach using image classification and text information for recommendation S Nasiri, J Zenkert, M Fathi Advances in Computational Intelligence: 13th International Work-Conference …, 2015 | 20 | 2015 |
| Prediction of fracture in sandwich-structured composite joints using case-based reasoning approach MR Khosravani, S Nasiri, K Weinberg Procedia Structural Integrity 13, 168-173, 2018 | 18 | 2018 |
| Dynamics of knowledge assets and change management perspectives S Nasiri, F Ansari, M Fathi IEEE International Conference on Electro-Information Technology, EIT 2013, 1-6, 2013 | 18 | 2013 |
| Failure and fracture in polyethylene pipes: Overview, prediction methods, and challenges S Nasiri, MR Khosravani Engineering Failure Analysis, 107496, 2023 | 11 | 2023 |
| Deep-CLASS at ISIC machine learning challenge 2018 S Nasiri, M Jung, J Helsper, M Fathi arXiv preprint arXiv:1807.08993, 2018 | 9 | 2018 |
| Detect and predict melanoma utilizing tcbr and classification of skin lesions in a learning assistant system S Nasiri, M Jung, J Helsper, M Fathi Bioinformatics and Biomedical Engineering: 6th International Work-Conference …, 2018 | 7 | 2018 |
| E-nursing: Experience platform for improving nursing performance M Khobreh, S Nasiri, M Fathi International Journal of Geoinformatics, 2014 | 7 | 2014 |
Kerstin WeinbergProfessor für Festkörpermechanik, Universität SiegenDirección de correo verificada de uni-siegen.de
