| Deep-learning-based crack detection with applications for the structural health monitoring of gas turbines M Mohtasham Khani, S Vahidnia, L Ghasemzadeh, YE Ozturk, ... Structural Health Monitoring 19 (5), 1440-1452, 2020 | 94 | 2020 |
| A Deep Learning Based Method for Forecasting Gold Price with Respect to Pandemics MM Khani, S Vahidnia, A Abbasi | 31* | 2020 |
| Modified deep neural networks for dog breeds identification A Ayanzadeh, S Vahidnia Preprints, 2018 | 14 | 2018 |
| An Early Phase Software Project Risk Assessment Support Method for Emergent Software Organizations S Vahidnia, ÖÖ Tanrıöver, IN Askerzade International Journal of Advanced Computer Science and Applications (IJACSA …, 2017 | 9 | 2017 |
| Embedding-based Detection and Extraction of Research Topics from Academic Documents Using Deep Clustering. S Vahidnia, A Abbasi, HA Abbass J. Data Inf. Sci. 6 (3), 99-122, 2021 | 8 | 2021 |
| Time series forecasting using smoothing ensemble empirical mode decomposition and machine learning techniques MZ Bahri, S Vahidnia 2022 International Conference on Electrical, Computer, Communications and …, 2022 | 6 | 2022 |
| An Evaluation Study of General Software Project Risk Based on Software Practitioners Experiences S Vahidnia, IN Askerzade International Journal of Computer Science & Information Technology (IJCSIT …, 2016 | 5 | 2016 |
| Document Clustering and Labeling for Research Trend Extraction and Evolution Mapping S Vahidnia, A Abbasi, HA Abbass | 3 | 2020 |
| A framework for understanding the dynamics of science: A case study on AI S Vahidnia, A Abbasi, HA Abbass Procedia Computer Science 177, 581-586, 2020 | 2 | 2020 |
| A Temporal Ontology Guided Clustering Methodology with a Case Study on Detection and Tracking of Artificial Intelligence Topics S Vahidnia, A Abbasi, H Abbass Expert Systems with Applications, 2024 | 1 | 2024 |
| Deep and Temporal Ontology Guided Clustering Methods and Representation Learning for Topic Detection and Tracking S Vahidnia UNSW Sydney, 2023 | 1 | 2023 |
| Wind Speed Prediction Using a SEEMD-LSTM Model M Bahri, S Vahidnia, L Ghignone, M Mohtashamkhani 2023 International Conference on Engineering and Emerging Technologies …, 2023 | | 2023 |
| Wind-speed Forecasting based on Smoothing Ensemble Empirical Mode Decomposition and LSTM M Bahri, S Vahidnia, L Ghignone 2023 International Conference on Power and Renewable Energy Engineering …, 2023 | | 2023 |
| Yazılım proje riskleri için bir karar destek yöntemi ve yazılım prototipi SY VAHIDNIA, ÖTD TANRIÖVER Ankara Üniversitesi Fen Bilimleri Enstitüsü Bilgisayar Mühendisliği Anabilim …, 2016 | | 2016 |
| Yun Seng Lim 38 Yuqi Wu 156 Z Bohdanowicz, E Franklin, F Zuo, F Wei, F Muhammad-Sukki, ... | | |