AIMC Topic: Water

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A new strategy for groundwater level prediction using a hybrid deep learning model under Ecological Water Replenishment.

Environmental science and pollution research international Mar 4, 2024
Accurate prediction of the groundwater level (GWL) is crucial for sustainable groundwater resource management. Ecological water replenishment (EWR) involves artificially diverting water to replenish the ecological flow and water resources of both sur...
Animals Deep Learning Water Resources Cetacea Water Groundwater
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Prediction and visualization of moisture content in Tencha drying processes by computer vision and deep learning.

Journal of the science of food and agriculture Feb 27, 2024
BACKGROUND: It is important to monitor and control the moisture content throughout the Tencha drying processing procedure so that its quality is ensured. Workers often rely on their senses to perceive the moisture content, leading to relative subject...
Image Processing, Computer-Assisted Desiccation Neural Networks, Computer Deep Learning Water
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Prediction of monthly evapotranspiration by artificial neural network model development with Levenberg-Marquardt method in Elazig, Turkey.

Environmental science and pollution research international Feb 21, 2024
The phenomenon of evapotranspiration (ET) is closely linked to the issue of water scarcity, as it involves water loss through both evaporation and plant transpiration. Accurate prediction of evapotranspiration is of utmost importance in the strategic...
Turkey Agricultural Irrigation Neural Networks, Computer Algorithms Water
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Artificial intelligence and machine learning algorithms in the detection of heavy metals in water and wastewater: Methodological and ethical challenges.

Chemosphere Feb 19, 2024
Heavy metals (HMs) enter waterbodies through various means, which, when exceeding a threshold limit, cause toxic effects both on the environment and in humans upon entering their systems. Recent times have seen an increase in such HM influx incident ...
Metals, Heavy Algorithms Water Wastewater Humans Artificial Intelligence Machine Learning
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Integration of deep learning and improved multi-objective algorithm to optimize reservoir operation for balancing human and downstream ecological needs.

Water research Feb 14, 2024
Dam (reservoir)-induced alterations of flow and water temperature regimes can threaten downstream fish habitats and native aquatic ecosystems. Alleviating the negative environmental impacts of dam-reservoir and balancing the multiple purposes of rese...
Humans Algorithms Deep Learning Water Animals Ecosystem Models, Theoretical
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A review of graph and complex network theory in water distribution networks: Mathematical foundation, application and prospects.

Water research Feb 3, 2024
Graph theory (GT) and complex network theory play an increasingly important role in the design, operation, and management of water distribution networks (WDNs) and these tasks were originally often heavily dependent on hydraulic models. Facing the ge...
Water Supply Neural Networks, Computer Water
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An optical mechanism-based deep learning approach for deriving water trophic state of China's lakes from Landsat images.

Water research Jan 24, 2024
Widespread eutrophication has been considered as the most serious environment problems in the world. Given the critical roles of lakes in human society and serious negative effects of water eutrophication on lake ecosystems, it is thus fundamentally ...
Environmental Monitoring Lakes Humans Ecosystem Deep Learning China Eutrophication Water
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An in situ digital synthesis strategy for the discovery and description of ocean life.

Science advances Jan 17, 2024
Revolutionary advancements in underwater imaging, robotics, and genomic sequencing have reshaped marine exploration. We present and demonstrate an interdisciplinary approach that uses emerging quantitative imaging technologies, an innovative robotic ...
Animals Water Gelatin Oceans and Seas Robotics Zooplankton
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A denoising method based on deep learning for proton radiograph using energy resolved dose function.

Physics in medicine and biology Jan 11, 2024
Proton radiograph has been broadly applied in proton radiotherapy which is affected by scattered protons which result in the lower spatial resolution of proton radiographs than that of x-ray images. Traditional image denoising method may lead to the ...
Radiation, Ionizing Proton Therapy Protons Radiography Deep Learning Phantoms, Imaging Water
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Predicting saturated and near-saturated hydraulic conductivity using artificial neural networks and multiple linear regression in calcareous soils.

PloS one Jan 10, 2024
Hydraulic conductivity (Kψ) is one of the most important soil properties that influences water and chemical movement within the soil and is a vital factor in various management practices, like drainage, irrigation, erosion control, and flood protecti...
Sodium Neural Networks, Computer Soil Linear Models Water
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