Engineering Data Analysis Applications Research Group

Engineering Data Analysis Applications Research Group

This group aims to do research on the basis of using machine learning and data analytics in engineering applications. There are several projects which are induced from this research group. However, the most active and up to date research project is the

·        Modeling of drought and water demand.

Projects

·        Modelling of drought and water

Members

·        Asst.Prof.Dr.Salah L.Zubaidi (Project leader -Wasit University-Iraq). 

·        Asst.Prof.Dr.Hussein R.Sabah (Wasit University-Iraq).

·        Prof.Dr.NAdhir Al Ansari (Lelua University- Sweden)

·        Asst.Prof.Dr.Nabeel S.Saad (Wasit University-Iraq)

·        Dr.Sandra Ortega (Liverpool John Moores-UK)

Publications

Belo are sample of publications that were made by the group members. For further information about other publications please visit this link

1.     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.

2.     A CPSOCGSA-tuned neural processor for forecasting river water salinity: Euphrates river, Iraq

ZS Khudhair, SL Zubaidi, H Al-Bugharbee, N Al-Ansari, HM Ridha

Cogent Engineering 9 (1), 2150121

3.     Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective

SJ Mohammed, SL Zubaidi, S Ortega-Martorell, N Al-Ansari, S Ethaib, …

Cogent Engineering 9 (1), 2143051.

4.     Evaluation water scarcity based on GIS estimation and climate-change effects: A case study of Thi-Qar Governorate, Iraq

S Ethaib, SL Zubaidi, N Al-Ansari

Cogent Engineering 9 (1), 2075301.

5.     Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm

SJ Mohammed, SL Zubaidi, N Al-Ansari, HM Ridha, NSS Al-Bdairi

Advances in Civil Engineering 2022.

6.     Applicability of ANN Model and CPSOCGSA Algorithm for Multi-Time Step Ahead River Streamflow Forecasting

B Abdul Kareem, SL Zubaidi, HM Ridha, N Al-Ansari, NSS Al-Bdairi

Hydrology 9 (10), 171.

7.     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.

8.     A review of hybrid soft computing and data pre-processing techniques to forecast freshwater quality’s parameters: current trends and future directions

ZS Khudhair, SL Zubaidi, S Ortega-Martorell, N Al-Ansari, S Ethaib, …

Environments 9 (7), 85.

9.     Drought forecasting: a review and assessment of the hybrid techniques and data pre-processing

MA Alawsi, SL Zubaidi, NSS Al-Bdairi, N Al-Ansari, K Hashim

Hydrology 9 (7), 115