| Hydrophobicity classification of composite insulators based on convolutional neural networks CCA Kokalis, T Tasakos, VT Kontargyri, G Siolas, IF Gonos Engineering Applications of Artificial Intelligence 91, 103613, 2020 | 34 | 2020 |
| Deep learning-based anomaly detection in nuclear reactor cores T Tasakos, G Ioannou, V Verma, G Alexandridis, A Dokhane, ... Proceedings of the International Conference on Mathematics & Computational …, 2021 | 15 | 2021 |
| Localizing perturbations in pressurized water reactors using one-dimensional deep convolutional neural networks L Pantera, P Stulík, A Vidal-Ferrāndiz, A Carreņo, D Ginestar, G Ioannou, ... Sensors 22 (1), 113, 2021 | 5 | 2021 |
| Feature extraction and identification techniques for the alignment of perturbation simulations with power plant measurements G Ioannou, T Tasakos, A Mylonakis, G Alexandridis, C Demaziere, P Vinai, ... Proceedings of the International Conference on Mathematics & Computational …, 2021 | 4 | 2021 |
| Hydrophobicity Classification of Composite Insulators Using Convolutional Neural Networks CC Kokalis, T Tasakos, VT Kontargyri, G Siolas, IF Gonos, ... CIGRE Science and Engineering, 2021 | 1 | 2021 |
| Quality Tests on Field Aged Composite Insulators of Hellenic Electricity Distribution Network CCA Kokalis, VT Kontargyri, T Tasakos, IF Gonos 2020 IEEE International Conference on High Voltage Engineering and …, 2020 | | 2020 |
George IoannouNational Technical University of AthensVerified email at islab.ntua.gr
