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[HTML][HTML] Critical review on water quality analysis using IoT and machine learning models
Water quality and its management are the most precise concerns confronting humanity
globally. This article evaluates the various sensors used for water quality monitoring and …
globally. This article evaluates the various sensors used for water quality monitoring and …
[HTML][HTML] Harnessing machine learning for assessing climate change influences on groundwater resources: a comprehensive review
Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …
resources especially groundwater. Recent studies have reported significant impact of …
Critical role of climate factors for groundwater potential map** in arid regions: Insights from random forest, XGBoost, and LightGBM algorithms
[HTML][HTML] Evaluation of groundwater potential using ANN-based mountain gazelle optimization: a framework to achieve SDGs in East El Oweinat, Egypt
Study region A pilot case study in East El Oweinat (PCSEO), Egypt. Study focus An artificial
neural network (ANN)-based mountain gazelle optimization (MGO) model was applied to …
neural network (ANN)-based mountain gazelle optimization (MGO) model was applied to …
Novel ensemble machine learning modeling approach for groundwater potential map** in Parbhani District of Maharashtra, India
Groundwater is an essential source of water especially in arid and semi-arid regions of the
world. The demand for water due to exponential increase in population has created stresses …
world. The demand for water due to exponential increase in population has created stresses …
[HTML][HTML] Spatial prediction of groundwater potential and driving factor analysis based on deep learning and geographical detector in an arid endorheic basin
Z Wang, J Wang, J Han - Ecological Indicators, 2022 - Elsevier
Substantial mineral resources are enriched in the arid endorheic basins; however, due to
environmental constraints, these areas face water shortages as well as its extremely uneven …
environmental constraints, these areas face water shortages as well as its extremely uneven …
[HTML][HTML] Convolutional neural network and long short-term memory algorithms for groundwater potential map** in Anseong, South Korea
Study region The study area was the Anseong-si area that located in the southernmost part
of Gyeonggi-do Province at 127° 19′ E, 36° 82′ N. Anseong has a transitional climate …
of Gyeonggi-do Province at 127° 19′ E, 36° 82′ N. Anseong has a transitional climate …
Forecasting monthly pan evaporation using hybrid additive regression and data-driven models in a semi-arid environment
Exact estimation of evaporation rates is very important in a proper planning and efficient
operation of water resources projects and agricultural activities. Evaporation is affected by …
operation of water resources projects and agricultural activities. Evaporation is affected by …
Groundwater quality for irrigation in an arid region—application of fuzzy logic techniques
Groundwater is the main source to answer the irrigation supply in several arid and semi-arid
areas. In the present work, groundwater quality for irrigation purposes in the arid region of …
areas. In the present work, groundwater quality for irrigation purposes in the arid region of …
Assessment of groundwater potential and determination of influencing factors using remote sensing and machine learning algorithms: A study of Nainital district of …
Exponential increase in population, rapid urbanization and industrialization have increased
the demand of water globally. Groundwater is an important resource in hilly and …
the demand of water globally. Groundwater is an important resource in hilly and …