AIMC Topic: Water

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Network embedding: The bridge between water distribution network hydraulics and machine learning.

Water research Dec 19, 2024
Machine learning has been increasingly used to solve management problems of water distribution networks (WDNs). A critical research gap, however, remains in the effective incorporation of WDN hydraulic characteristics in machine learning. Here we pre...
Water Supply Algorithms Water Machine Learning
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A rapid method for assessing seed drought resistance using integrated ID-BOA-SVM.

Analytical methods : advancing methods and applications Dec 5, 2024
This study investigates the application of near-infrared spectroscopy (NIR) for assessing drought resistance in seeds, aiming to offer a rapid and efficient method suitable for large-scale primary screening. NIR spectroscopy is utilized to analyze fo...
Spectroscopy, Near-Infrared Droughts Drought Resistance Support Vector Machine Bayes Theorem Seeds Zea mays Water
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Classification of glucose-level in deionized water using machine learning models and data pre-processing technique.

PloS one Dec 5, 2024
Accurate monitoring of glucose levels is essential in the field of diabetes detection and prevention to ensure appropriate treatment planning. Conventional blood glucose monitoring methods, although widely used, are intrusive and frequently result in...
Spectrum Analysis, Raman Glucose Blood Glucose Humans Support Vector Machine Machine Learning Water
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Stacked Ensemble with Machine Learning Regressors on Optimal Features (SMOF) of hyperspectral sensor PRISMA for inland water turbidity prediction.

Environmental science and pollution research international Nov 25, 2024
Leveraging hyperspectral data across various domains yields substantial benefits, yet managing many spectral bands and identifying the essential ones poses a formidable challenge. This study identifies the most relevant bands within a hyperspectral d...
Environmental Monitoring Spectrum Analysis Machine Learning Water
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Machine learning models for prediction of nutrient concentrations in surface water in an agricultural watershed.

Journal of environmental management Nov 19, 2024
Prediction and quantification of nutrient concentrations in surface water has gained substantial attention during recent decades because excess nutrients released from agricultural and urban watersheds can significantly deteriorate surface water qual...
Agriculture Models, Theoretical Phosphorus Water Quality Nutrients Machine Learning Water
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Microscopic water dispersion and hydrogen-bonding structures in margarine spreads with Raman hyperspectral imaging and machine learning.

Food chemistry Nov 13, 2024
Margarine, a water-in-oil (W/O) emulsion, offers advantages such as lower costs in comparison to similar products, but large amounts of saturated fats pose health risks. Reduction of saturated fat content is difficult and often leads to "oil-off," i....
Machine Learning Water Spectrum Analysis, Raman Emulsions Hydrogen Bonding Margarine
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Water-Stable Magnetic Lipiodol Micro-Droplets as a Miniaturized Robotic Tool for Drug Delivery.

Advanced materials (Deerfield Beach, Fla.) Nov 13, 2024
Magnetic microrobots, designed to navigate the complex environments of the human body, show promise for minimally invasive diagnosis and treatment. However, their clinical adoption faces hurdles such as biocompatibility, precise control, and intellig...
Gelatin Ethiodized Oil Mice Robotics Magnetic Iron Oxide Nanoparticles Miniaturization Animals Water Humans Drug Delivery Systems
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Assessing long-term water storage dynamics in Afghanistan: An integrated approach using machine learning, hydrological models, and remote sensing.

Journal of environmental management Oct 21, 2024
Assessment of Terrestrial Water Storage (TWS) components is crucial for understanding regional climate and water resources, particularly in arid and semi-arid regions like Afghanistan. Given the scarcity of ground-based data, this study leverages rem...
Machine Learning Water Climate Hydrology Water Resources Models, Theoretical Remote Sensing Technology Afghanistan
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Quantitative investigation and intelligent forecasting of thermal conductivity in lime-modified red clay.

PloS one Oct 10, 2024
This paper delves into the engineering applications of lime-stabilized red clay, a highly water-sensitive material, particularly in the context of the climatic conditions prevalent in the Dalian region. We systematically investigate the impact of wat...
Temperature Soil Calcium Compounds Machine Learning Neural Networks, Computer Clay Forecasting Water Thermal Conductivity Oxides
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Acoustic leak localization for water distribution network through time-delay-based deep learning approach.

Water research Oct 9, 2024
Water leakage within water distribution networks (WDNs) presents significant challenges, encompassing infrastructure damage, economic losses, and public health risks. Traditional methods for leak localization based on acoustic signals encounter inher...
Acoustics Signal-To-Noise Ratio Deep Learning Water Supply Water
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