| Handbook of advanced nondestructive evaluation N Ida, N Meyendorf Springer International Publishing 10, 978-3, 2019 | 170 | 2019 |
| Signal processing for NDE M Vejdannik, A Sadr, VHC de Albuquerque, JMRS Tavares Handbook of Advanced Non-Destructive Evaluation, 2019 | 13 | 2019 |
| Automatic microstructural characterization and classification using dual tree complex wavelet-based features and Bees Algorithm M Vejdannik, A Sadr Neural Computing and Applications 28, 1877-1889, 2017 | 13 | 2017 |
| Application of linear discriminant analysis to ultrasound signals for automatic microstructural characterization and classification M Vejdannik, A Sadr Journal of Signal Processing Systems 83, 411-421, 2016 | 11 | 2016 |
| Machine learning-based QOT prediction for self-driven optical networks M Vejdannik, A Sadr Neural Computing and Applications 33 (7), 2919–2928, 2021 | 10 | 2021 |
| Automatic microstructural characterization and classification using probabilistic neural network on ultrasound signals M Vejdannik, A Sadr Journal of Intelligent Manufacturing 29 (8), 1923-1940, 2018 | 10 | 2018 |
| Automatic microstructural characterization and classification using higher-order spectra on ultrasound signals M Vejdannik, A Sadr Journal of Nondestructive Evaluation 35 (1), 16, 2016 | 8 | 2016 |
| Channel power optimization in WDM systems using co-evolutionary genetic algorithm M Vejdannik, A Sadr Optical Switching and Networking 43, 100637, 2022 | 6 | 2022 |
| Modular neural networks for quality of transmission prediction in low-margin optical networks M Vejdannik, A Sadr Journal of Intelligent Manufacturing 32 (2), 361-375, 2021 | 4 | 2021 |
| Leveraging genetic algorithm to address multi-failure localization in optical networks M Vejdannik, A Sadr Optical Switching and Networking 47, 100706, 2023 | | 2023 |
| Application of Statistical Signal Processing Techniques to Ultrasound Signals for Automatic Microstructural Characterization and Classification M Vejdannik, A Sadr 3rd Iranian International NDT Conference, 2016 | | 2016 |
| Automated Detection of Myocardial Ischemia Using Statistical Signal Processing and Neural Networks M Vejdannik International Conference on Electrical Engineering and Computer Science …, 2015 | | 2015 |
| ECG Analysis Using Wavelet Transform, Neural Networks and Support Vector Machines, Application to Myocardial Ischemia Detection A Fallahi, R Jafari, M Vejdannik | | |
Ali SadrAssociate Professor of Electrical Engineering,Iran University of Science & Engineering (IUST)Geverifieerd e-mailadres voor iust.ac.ir