Search Results - "Zubaidi, Salah L."

Hybridised Artificial Neural Network Model with Slime Mould Algorithm: A Novel Methodology for Prediction of Urban Stochastic Water Demand by Zubaidi, Salah L., Abdulkareem, Iqbal H., Hashim, Khalid S., Al-Bugharbee, Hussein, Ridha, Hussein Mohammed, Gharghan, Sadik Kamel, Al-Qaim, Fuod F., Muradov, Magomed, Kot, Patryk, Al-Khaddar, Rafid

“…Urban water demand prediction based on climate change is always challenging for water utilities because of the uncertainty that results from a sudden rise in…”
Get full text

Function of Nanomaterials in Removing Heavy Metals for Water and Wastewater Remediation: A Review by Saleem Ethaib, Sarah Al-Qutaifia, Nadhir Al-Ansari, Salah L. Zubaidi

“…Although heavy metals are typically found in trace levels in natural waterways, most of them are hazardous to human health and the environment, even at…”
Get full text

A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach by Zubaidi, Salah, Al-Bugharbee, Hussein, Ortega-Martorell, Sandra, Gharghan, Sadik, Olier, Ivan, Hashim, Khalid, Al-Bdairi, Nabeel, Kot, Patryk

“…Accurate and reliable urban water demand prediction is imperative for providing the basis to design, operate, and manage water system, especially under the…”
Get full text

Urban Water Demand Prediction for a City That Suffers from Climate Change and Population Growth: Gauteng Province Case Study by Zubaidi, Salah L., Ortega-Martorell, Sandra, Al-Bugharbee, Hussein, Olier, Ivan, Hashim, Khalid S., Gharghan, Sadik Kamel, Kot, Patryk, Al-Khaddar, Rafid

“…The proper management of a municipal water system is essential to sustain cities and support the water security of societies. Urban water estimating has always…”
Get full text

Forecasting urban water demand using different hybrid-based metaheuristic algorithms’ inspire for extracting artificial neural network hyperparameters by Zubaidi, Salah L., Al-Bugharbee, Hussein, Alattabi, Ali W., Ridha, Hussein Mohammed, Hashim, Khalid, Al-Ansari, Nadhir, Yaseen, Zaher Mundher

“…This research offers a novel methodology for quantifying water needs by assessing weather variables, applying a combination of data preprocessing approaches,…”
Get full text

Temperature and Precipitation Change Assessment in the North of Iraq Using LARS-WG and CMIP6 Models by Abdulsahib, Sura Mohammed, Zubaidi, Salah L., Almamalachy, Yousif, Dulaimi, Anmar

“…Investigating the spatial-temporal evolutionary trends of future temperature and precipitation considering various emission scenarios is crucial for developing…”
Get full text

Drought Forecasting: A Review and Assessment of the Hybrid Techniques and Data Pre-Processing by Alawsi, Mustafa A., Zubaidi, Salah L., Al-Bdairi, Nabeel Saleem Saad, Al-Ansari, Nadhir, Hashim, Khalid

“…Drought is a prolonged period of low precipitation that negatively impacts agriculture, animals, and people. Over the last decades, gradual changes in drought…”
Get full text

Evaluation water scarcity based on GIS estimation and climate-change effects: A case study of Thi-Qar Governorate, Iraq by Ethaib, Saleem, Zubaidi, Salah L., Al-Ansari, Nadhir

“…This work aims to evaluate water scarcity in Thi-Qar governorate, Iraq, based on GIS estimation, environmental data, climate-change effects, and detection of…”
Get full text

Parameter Optimisation-Based Hybrid Reference Evapotranspiration Prediction Models: A Systematic Review of Current Implementations and Future Research Directions by Khairan, Hadeel E., Zubaidi, Salah L., Muhsen, Yousif Raad, Al-Ansari, Nadhir

“…A hybrid machine learning (ML) model is becoming a common trend in predicting reference evapotranspiration (ETo) research. This study aims to systematically…”
Get full text

Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective by Mohammed, Sarah J., Zubaidi, Salah L., Ortega-Martorell, Sandra, Al-Ansari, Nadhir, Ethaib, Saleem, Hashim, Khalid

“…The community's well-being and economic livelihoods are heavily influenced by the water level of watersheds. The changes in water levels directly affect the…”
Get full text

A Review of Hybrid Soft Computing and Data Pre-Processing Techniques to Forecast Freshwater Quality’s Parameters: Current Trends and Future Directions by Zahraa S. Khudhair, Salah L. Zubaidi, Sandra Ortega-Martorell, Nadhir Al-Ansari, Saleem Ethaib, Khalid Hashim

“…Water quality has a significant influence on human health. As a result, water quality parameter modelling is one of the most challenging problems in the water…”
Get full text

Tuning ANN Hyperparameters by CPSOCGSA, MPA, and SMA for Short-Term SPI Drought Forecasting by Alawsi, Mustafa A., Zubaidi, Salah L., Al-Ansari, Nadhir, Al-Bugharbee, Hussein, Ridha, Hussein Mohammed

“…Modelling drought is vital to water resources management, particularly in arid areas, to reduce its effects. Drought severity and frequency are significantly…”
Get full text

Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm by Mohammed, Sarah J., Zubaidi, Salah L., Al-Ansari, Nadhir, Ridha, Hussein Mohammed, Al-Bdairi, Nabeel Saleem Saad

“…Water level (WL) forecasting has become a difficult undertaking due to spatiotemporal fluctuations in climatic factors and complex physical processes. This…”
Get full text

Applicability of ANN Model and CPSOCGSA Algorithm for Multi-Time Step Ahead River Streamflow Forecasting by Abdul Kareem, Baydaa, Zubaidi, Salah L., Ridha, Hussein Mohammed, Al-Ansari, Nadhir, Al-Bdairi, Nabeel Saleem Saad

“…Accurate streamflow prediction is significant when developing water resource management and planning, forecasting floods, and mitigating flood damage. This…”
Get full text

A CPSOCGSA-tuned neural processor for forecasting river water salinity: Euphrates river, Iraq by Khudhair, Zahraa S., Zubaidi, Salah L., Al-Bugharbee, Hussein, Al-Ansari, Nadhir, Ridha, Hussein Mohammed

“…Salinity is a classic problem in water quality management since it is directly associated with low water quality indices. Debate continues about selecting the…”
Get full text

Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting by Mohammed, Sarah J., Zubaidi, Salah L., Al-Ansari, Nadhir, Mohammed Ridha, Hussein, Dulaimi, Anmar, Al-Khafaji, Ruqayah

“…With the rapid development of machine learning (ML) models, the artificial neural network (ANN) is being increasingly applied for forecasting hydrological…”
Get full text

Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia by Zubaidi, Salah L., Kumar, Pavitra, Al-Bugharbee, Hussein, Ahmed, Ali Najah, Ridha, Hussein Mohammed, Mo, Kim Hung, El-Shafie, Ahmed

“…Accurate prediction of short-term water demand, especially, in the case of extreme weather conditions such as flood, droughts and storms, is crucial…”
Get full text

Static and Seismic Performance of Buried Pipelines: A review by Yousife, Dhuha F., Aldefae, Asad H., Zubaidi, Salah L., Humaish, Wissam H., Sinichenko, Evgeny K.

“…Today, buried pipes can be considered one of the main substantial infrastructures which has significant role with human life. Such projects serve purposes,…”
Get full text

Design and Manufacturing of Small Scale Tsunami Simulator Channel by Bachay, Hiba A., Aldefae, Asad H., Zubaidi, Salah L., Humaish, Wissam H., Sinichenko, Evgeny K.

“…Increasing the cost of in-situ or field tests to solve engineering problems, particularly water engineering, pushes researchers worldwide to simulate different…”
Get full text

Phosphate removal from water using bottom ash: adsorption performance, coexisting anions and modelling studies by Hashim, Khalid S, Ewadh, Hind Mufeed, Muhsin, Adnan A, Zubaidi, Salah L, Kot, Patryk, Muradov, Magomed, Aljefery, Mohammed, Al-Khaddar, Rafid

“…Phosphate in freshwater possesses significant effects on both quality of water and human health. Hence, many treatment methods have been used to remove…”
Get full text