Zubaidi, SL, Al-Bugharbee, H, Alattabi, AW, Ridha, HM, Hashim, K, Al-Ansari, N and Yaseen, ZM (2024) Forecasting urban water demand using different hybrid-based metaheuristic algorithms’ inspire for extracting artificial neural network hyperparameters. Scientific Reports, 14 (1).

Khairan, HE, Zubaidi, SL, Al-Mukhtar, M, Dulaimi, A, Al-Bugharbee, H, Al-Faraj, FA and Ridha, HM (2023) Assessing the Potential of Hybrid-Based Metaheuristic Algorithms Integrated with ANNs for Accurate Reference Evapotranspiration Forecasting. Sustainability, 15 (19). ISSN 2071-1050

Zubaidi, S, Al-Bdairi, NSS, Ortega Martorell, S, Ridha, HM, Al-Bugharbee, H, Hashim, KS and Gharghan, SK (2022) Assessing the Benefits of Nature-Inspired Algorithms for the Parameterisation of ANN in the Prediction of Water Demand. Journal of Water Resources Planning and Management, 149 (1). ISSN 0733-9496

Zubaidi, S, Hashim, KS, Ethaib, S, Al-Bdairi, N, Al-Bugharbee, H and Gharghan, SK (2022) A novel methodology to predict monthly municipal water demand based on weather variables scenario. Journal of King Saud University, Engineering Sciences, 34 (3). pp. 163-169. ISSN 1018-3639

Al-Bdairi, N, Zubaidi, S, Al-Bugharbee, H, Hashim, KS, Farhan, S and Al Defae, A (2021) Forecasting of Air Maximum Temperature on Monthly Basis Using Singular Spectrum Analysis and Linear Autoregressive Model. In: IOP Conference Series : Earth and Environmental Science . (IOP Conference Series: Earth and Environmental Science,, 1st-2nd September 2021, Erbil, Iraq).

Zubaidi, S, Al-Bugharbee, H, Hashim, KS, Al-Bdairi, N, Farhan, S, Al Defae, A and Jameel, M (2021) Prediction and Forecasting of Maximum Weather Temperature Using a Linear Autoregressive Model. In: IOP Conference Series : Earth and Environmental Science . (IOP Conference Series: Earth and Environmental Science,, 1st-2nd September 2021, Erbil, Iraq).

Hashim, KS, Al-Bugharbee, H, Zubaidi, S, AlBdairi, N, Farhan, S and Ethaib, S (2021) Updated Moving Forecasting Model of Air Maximum Temperature. In: IOP Conference Series : Earth and Environmental Science . (IOP Conference Series: Earth and Environmental Science,, 1st-2nd September 2021, Erbil, Iraq).

Zubaidi, SL, Abdulkareem, IH, Hashim, KS, Al-Bugharbee, H, Ridha, HM, Gharghan, SK, Al-Qaim, FF, Muradov, M, Kot, P and Alkhaddar, R (2020) Hybridised Artificial Neural Network model with Slime Mould Algorithm: A novel methodology for prediction urban stochastic water demand. Water, 12 (10). ISSN 2073-4441

Zubaidi, S, Ortega Martorell, S, Al-Bugharbee, H, Olier-Caparroso, I, Hashim, KS, Gharghan, SK, Kot, P and Al Khaddar, RM (2020) Urban Water Demand Prediction for a City that Suffers from Climate Change and Population Growth: Gauteng Province case study. Water, 12 (7). ISSN 2073-4441

Zubaidi, S, Al-Bugharbee, H, Ortega Martorell, S, Gharghan, SK, Olier, I, Hashim, KS, Al-Bdairi, NSS and Kot, P (2020) A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach. Water, 12 (6). ISSN 2073-4441

Zubaidi, S, Dooley, J, Alkhaddar, R, Abdellatif, M, Al-Bugharbee, H and Ortega-Martorell, S (2018) A Novel Approach for Predicting Monthly Water Demand by Combining Singular Spectrum Analysis with Neural Networks. Journal of Hydrology, 561. pp. 136-145. ISSN 0022-1694