Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
Artificial intelligence (AI) will transform business practices and industries and has the
potential to address major societal problems, including sustainability. Degradation of the …
potential to address major societal problems, including sustainability. Degradation of the …
Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression …
Water quality has a crucial impact on human health; therefore, water quality index modeling
is one of the challenging issues in the water sector. The accurate prediction of water quality …
is one of the challenging issues in the water sector. The accurate prediction of water quality …
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
Accurate and reliable prediction of streamflow is vital to the optimization of water resources
management, reservoir flood operations, catchment, and urban water management. In this …
management, reservoir flood operations, catchment, and urban water management. In this …
A novel hybrid model for water quality prediction based on synchrosqueezed wavelet transform technique and improved long short-term memory
C Song, L Yao, C Hua, Q Ni - Journal of Hydrology, 2021 - Elsevier
Predicting water quality accurately is of utmost importance in water resource management.
This study focuses on the prediction of water quality parameters such as the dissolved …
This study focuses on the prediction of water quality parameters such as the dissolved …
Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
A new soft computing model for daily streamflow forecasting
Accurate stream flow quantification and prediction are essential for the local and global
planning and management of basins to cope with climate change. The ability to forecast …
planning and management of basins to cope with climate change. The ability to forecast …
Comparison of different optimized machine learning algorithms for daily river flow forecasting
River flow modeling is essential for critical aspects such as effective water management and
structure planning, together with flood and drought analysis. There has been a growing …
structure planning, together with flood and drought analysis. There has been a growing …
Pipe break rate assessment while considering physical and operational factors: a methodology based on global positioning system and data-driven techniques
Y Amiri-Ardakani, M Najafzadeh - Water Resources Management, 2021 - Springer
An accurate prediction of pipes failure rate plays a substantial role in the management of
Water Distribution Networks (WDNs). In this study, a field study was conducted to register …
Water Distribution Networks (WDNs). In this study, a field study was conducted to register …
A new evolutionary time series model for streamflow forecasting in boreal lake-river systems
Genetic programming (GP) is an evolutionary regression method that has received
considerable interest to model hydro-environmental phenomena recently. Considering the …
considerable interest to model hydro-environmental phenomena recently. Considering the …
Multitemporal meteorological drought forecasting using Bat-ELM
R Gholizadeh, H Yılmaz, A Danandeh Mehr - Acta Geophysica, 2022 - Springer
The advancement of the machine learning (ML) models has demonstrated notable progress
in geosciences. They can identify the underlying process or causality of natural hazards …
in geosciences. They can identify the underlying process or causality of natural hazards …