A survey on river water quality modelling using artificial intelligence models: 2000–2020

TM Tung, ZM Yaseen - Journal of Hydrology, 2020 - Elsevier
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 …

Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition

M Ali, R Prasad - Renewable and Sustainable Energy Reviews, 2019 - Elsevier
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 …

[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 …

Computational intelligence approach for modeling hydrogen production: A review

S Faizollahzadeh Ardabili, B Najafi… - Engineering …, 2018 - Taylor & Francis
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 …

[HTML][HTML] Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques

A Arabameri, SC Pal, F Rezaie, OA Nalivan… - Journal of Hydrology …, 2021 - Elsevier
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 …

Review of artificial intelligence and internet of things technologies in land and water management research during 1991–2021: A bibliometric analysis

A Patel, A Kethavath, NL Kushwaha, A Naorem… - … Applications of Artificial …, 2023 - Elsevier
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 …

Numerical investigation on the thermal management of lithium-ion battery system and cooling effect optimization

A Li, ACY Yuen, W Wang, J Weng, GH Yeoh - Applied Thermal Engineering, 2022 - Elsevier
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 …

Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms

M Ali, R Prasad, Y Xiang, RC Deo - Renewable and Sustainable Energy …, 2020 - Elsevier
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 …

Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: a case study in Talesh, Northern Iran

M Ali Ghorbani, R Kazempour, KW Chau… - Engineering …, 2018 - Taylor & Francis
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 …

A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran

B Jahani, B Mohammadi - Theoretical and Applied Climatology, 2019 - Springer
The present study generally aims to provide a comparison between the performance and
suitability of different types of models for estimation of daily global solar radiation in Iran …