| Machine learning and deep learning for plant disease classification and detection V Balafas, E Karantoumanis, M Louta, N Ploskas IEEE Access, 2023 | 37 | 2023 |
| Intelligent Pesticide and Irrigation Management in Precision Agriculture: The Case of VELOS Project. MD Louta, F Papathanasiou, P Damos, N Ploskas, M Dasygenis, ... HAICTA, 91-99, 2022 | 7 | 2022 |
| Power consumption estimation in data centers using machine learning techniques E Karantoumanis, N Ploskas International Conference on Learning and Intelligent Optimization, 195-200, 2020 | 4 | 2020 |
| Computational comparison of image preprocessing techniques for plant diseases detection E Karantoumanis, V Balafas, M Louta, N Ploskas 2022 7th South-East Europe Design Automation, Computer Engineering, Computer …, 2022 | 3 | 2022 |
| Real-time disease detection on bean leaves from a small image dataset using data augmentation and deep learning methods E Karantoumanis, V Balafas, M Louta, N Ploskas Soft Computing, 1-13, 2024 | 1 | 2024 |
| An experimental evaluation of sensors on a LoRaWAN-based GPS tracking system E Karantoumanis, X Krallis, N Ploskas Proceedings of the 25th Pan-Hellenic Conference on Informatics, 224-228, 2021 | 1 | 2021 |
| Improving derivative-free optimization algorithms through an adaptive sampling procedure E Karantoumanis, N Ploskas Results in Control and Optimization 16, 100460, 2024 | | 2024 |
Nikolaos PloskasAssociate Professor, Dept. of Electrical and Computer Engineering, University of Western MacedoniaDirección de correo verificada de uowm.gr