| Urban water demand prediction for a city that suffers from climate change and population growth: Gauteng province case study SL Zubaidi, S Ortega-Martorell, H Al-Bugharbee, I Olier, KS Hashim, ... Water 12 (7), 1885, 2020 | 208 | 2020 |
| Hybridised artificial neural network model with slime mould algorithm: a novel methodology for prediction of urban stochastic water demand SL Zubaidi, IH Abdulkareem, KS Hashim, H Al-Bugharbee, HM Ridha, ... Water 12 (10), 2692, 2020 | 158 | 2020 |
| A novel methodology for prediction urban water demand by wavelet denoising and adaptive neuro-fuzzy inference system approach SL Zubaidi, H Al-Bugharbee, S Ortega-Martorell, SK Gharghan, I Olier, ... Water 12 (6), 1628, 2020 | 136 | 2020 |
| A fault diagnosis methodology for rolling element bearings based on advanced signal pretreatment and autoregressive modelling H Al-Bugharbee, I Trendafilova Journal of Sound and Vibration 369, 246-265, 2016 | 106 | 2016 |
| A Novel approach for predicting monthly water demand by combining singular spectrum analysis with neural networks SL Zubaidi, J Dooley, RM Alkhaddar, M Abdellatif, H Al-Bugharbee, ... Journal of hydrology 561, 136-145, 2018 | 103 | 2018 |
| A novel methodology to predict monthly municipal water demand based on weather variables scenario SL Zubaidi, K Hashim, S Ethaib, NSS Al-Bdairi, H Al-Bugharbee, ... Journal of King Saud University-Engineering Sciences 34 (3), 163-169, 2022 | 96 | 2022 |
| The prediction of municipal water demand in Iraq: a case study of Baghdad governorate SL Zubaidi, H Al-Bugharbee, YR Muhsen, K Hashim, RM Alkhaddar, ... 2019 12th International Conference on Developments in eSystems Engineering …, 2019 | 93 | 2019 |
| Forecasting of monthly stochastic signal of urban water demand: Baghdad as a case study SL Zubaidi, H Al-Bugharbee, YR Muhsin, K Hashim, R Alkhaddar IOP Conference Series: Materials Science and Engineering 888 (1), 012018, 2020 | 66 | 2020 |
| A cointegration-based monitoring method for rolling bearings working in time-varying operational conditions AA Tabrizi, H Al-Bugharbee, I Trendafilova, L Garibaldi Meccanica 52, 1201-1217, 2017 | 34 | 2017 |
| Short-term water demand prediction in residential complexes: Case study in Columbia city, USA SL Zubaidi, P Kot, RM Alkhaddar, M Abdellatif, H Al-Bugharbee 2018 11th International Conference on Developments in eSystems Engineering …, 2018 | 32 | 2018 |
| A new methodology for fault detection in rolling element bearings using singular spectrum analysis H Al-Bugharbee, I Trendafilova International Journal of Condition Monitoring 7 (2), 26-35, 2017 | 23 | 2017 |
| Tuning ANN hyperparameters by CPSOCGSA, MPA, and SMA for short-term SPI drought forecasting MA Alawsi, SL Zubaidi, N Al-Ansari, H Al-Bugharbee, HM Ridha Atmosphere 13 (9), 1436, 2022 | 15 | 2022 |
| Assessing the benefits of nature-inspired algorithms for the parameterization of ANN in the prediction of water demand SL Zubaidi, NSS Al-Bdairi, S Ortega-Martorell, HM Ridha, N Al-Ansari, ... Journal of Water Resources Planning and Management 149 (1), 04022075, 2023 | 14 | 2023 |
| 11th International Conference on Developments in eSystems Engineering (DeSE) SL Zubaidi, P Kot, RM Alkhaddar, M Abdellatif, H Al-Bugharbee IEEE, 2018 | 13 | 2018 |
| Autoregressive modelling for rolling element bearing fault diagnosis H Al-Bugharbee, I Trendafilova Journal of Physics: Conference Series 628 (1), 012088, 2015 | 12 | 2015 |
| Prediction and forecasting of maximum weather temperature using a linear autoregressive model SL Zubaidi, H Al-Bugharbee, K Hashim, NSS Al-Bdairi, SL Farhan, ... IOP conference series: earth and environmental science 877 (1), 012031, 2021 | 6 | 2021 |
| Data-driven methodologies for bearing vibration analysis and vibration based fault diagnosis HR Al-Bugharbee | 6 | 2016 |
| Assessing the Potential of Hybrid-Based Metaheuristic Algorithms Integrated with ANNs for Accurate Reference Evapotranspiration Forecasting HE Khairan, SL Zubaidi, M Al-Mukhtar, A Dulaimi, H Al-Bugharbee, ... Sustainability 15 (19), 14320, 2023 | 5 | 2023 |
| Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia SL Zubaidi, P Kumar, H Al-Bugharbee, AN Ahmed, HM Ridha, KH Mo, ... Applied Water Science 13 (9), 184, 2023 | 5 | 2023 |
| Experimental records based-simplified modeling of mean temperatures of steel beams in open environment SR Abid, H Al-Bugharbee IOP Conference Series: Materials Science and Engineering 988 (1), 012034, 2020 | 5 | 2020 |
Salah L. ZubaidiAssociate Professor in Civil Engineering- Wasit UniversityAdresse e-mail validée de uowasit.edu.iq
