Drought forecasting: a review and assessment of the hybrid techniques and data pre-processing
Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …
animals, and people. Over the last decades, gradual changes in drought indices have been …
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… - Environments, 2022 - mdpi.com
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 sector. Therefore …
parameter modelling is one of the most challenging problems in the water sector. Therefore …
Sustainability assessment of wastewater treatment techniques in urban areas of Iraq using multi-criteria decision analysis (MCDA)
Sustainable development is based on environmental, social, economic, and technical
dimensions. In this study, the sustainability of wastewater treatment techniques in urban …
dimensions. In this study, the sustainability of wastewater treatment techniques in urban …
Evaluation water scarcity based on GIS estimation and climate-change effects: A case study of Thi-Qar Governorate, Iraq
This work aims to evaluate water scarcity in Thi-Qar governorate, Iraq, based on GIS
estimation, environmental data, climate-change effects, and detection of the changes in …
estimation, environmental data, climate-change effects, and detection of the changes in …
Performance of green mortar made from locally available waste tiles and silica fume
The continuous depletion of natural resources used in concrete require vital replacement
materials to reduce the consumptions of the natural resources. Moreover, the growth in the …
materials to reduce the consumptions of the natural resources. Moreover, the growth in the …
Statistical modeling of monthly streamflow using time series and artificial neural network models: Hindiya Barrage as a case study
Abstract Autoregressive Integrated Moving Average (ARIMA) Box-Jenkins models combine
the autoregressive and moving average models to a stationary time series after the …
the autoregressive and moving average models to a stationary time series after the …
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… - Cogent …, 2022 - Taylor & Francis
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 circulation processes of …
level of watersheds. The changes in water levels directly affect the circulation processes of …
Review of recent trends in the hybridisation of preprocessing-based and parameter optimisation-based hybrid models to forecast univariate streamflow
BA Kareem, SL Zubaidi, N Al-Ansari… - … -Computer Modeling in …, 2024 - diva-portal.org
Forecasting river flow is crucial for optimal planning, management, and sustainability using
freshwater resources. Many machine learning (ML) approaches have been enhanced to …
freshwater resources. Many machine learning (ML) approaches have been enhanced to …
[HTML][HTML] Integrating Digital Twins and Artificial Intelligence Multi-Modal Transformers into Water Resource Management: Overview and Advanced Predictive …
Various Artificial Intelligence (AI) techniques in water resource management highlight the
current methodologies' strengths and limitations in forecasting, optimization, and control. We …
current methodologies' strengths and limitations in forecasting, optimization, and control. We …
Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network‐Based Marine Predators Algorithm
SJ Mohammed, SL Zubaidi, N Al-Ansari… - Advances in Civil …, 2022 - Wiley Online Library
Water level (WL) forecasting has become a difficult undertaking due to spatiotemporal
fluctuations in climatic factors and complex physical processes. This paper proposes a novel …
fluctuations in climatic factors and complex physical processes. This paper proposes a novel …