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A survey on river water quality modelling using artificial intelligence models: 2000–2020
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …
anthropogenic activities. Last decades' research has immensely focussed on river basin …
Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition
Data-intelligent algorithms designed for forecasting significant height of coastal waves over
the relatively short time period in coastal zones can generate crucial information about …
the relatively short time period in coastal zones can generate crucial information about …
[HTML][HTML] A novel hybrid BPNN model based on adaptive evolutionary Artificial Bee Colony Algorithm for water quality index prediction
L Chen, T Wu, Z Wang, X Lin, Y Cai - Ecological Indicators, 2023 - Elsevier
With the accelerated industrialization and urbanization process, water pollution in rivers is
being increasingly worsened, and has caused a series of ecological and environmental …
being increasingly worsened, and has caused a series of ecological and environmental …
[HTML][HTML] Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Study region The present study has been carried out in the Tabriz River basin (5397 km 2) in
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
Review of artificial intelligence and internet of things technologies in land and water management research during 1991–2021: A bibliometric analysis
The challenges of urbanization, land degradation, water scarcity, and climate change are
threatening agricultural systems and food security. Therefore, it is essential to manage land …
threatening agricultural systems and food security. Therefore, it is essential to manage land …
Computational intelligence approach for modeling hydrogen production: A review
Hydrogen is a clean energy source with a relatively low pollution footprint. However,
hydrogen does not exist in nature as a separate element but only in compound forms …
hydrogen does not exist in nature as a separate element but only in compound forms …
Numerical investigation on the thermal management of lithium-ion battery system and cooling effect optimization
The widespread application of lithium-ion batteries as the practice facility of energy storage
has come alongside much unforeseen fire safety and thermal runaway issues that leads to …
has come alongside much unforeseen fire safety and thermal runaway issues that leads to …
Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
Globally, major emphasis is currently being put in utilization and optimization of more
sustainable and renewable energy resources, to overcome the future energy demand issues …
sustainable and renewable energy resources, to overcome the future energy demand issues …
Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: a case study in Talesh, Northern Iran
Accurate simulation of evaporation plays an important role in the efficient management of
water Resources. Generally, evaporation is measured using the direct method where Class …
water Resources. Generally, evaporation is measured using the direct method where Class …
Dissolved oxygen prediction using a new ensemble method
Prediction of dissolved oxygen which is an important water quality (WQ) parameter is crucial
for aquatic managers who have responsibility for the ecosystem health's maintenance and …
for aquatic managers who have responsibility for the ecosystem health's maintenance and …