AIMC Topic: Water

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Formulation and physicochemical stability of oil-in-water nanoemulsion loaded with α-terpineol as flavor oil using Quillaja saponins as natural emulsifier.

Food research international (Ottawa, Ont.) Dec 15, 2021
Alpha-terpineol (α-TOH) is a promising monoterpenoid detaining several biological activities. However, as a volatile molecule, the incorporation of α-TOH within formulated products poses several challenges related to its stability. In this sense, nan...
Cyclohexane Monoterpenes Emulsions Water Oils Quillaja Saponins
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Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset.

Environmental science and pollution research international Nov 8, 2021
Wetlands are critical to the ecology because they maintain biodiversity and provide home for a variety of species. Researching, mapping, and conservation of wetlands is a challenging and time-consuming process. Because they produce temporal and geogr...
Neural Networks, Computer Machine Learning Support Vector Machine Wetlands Deep Learning Water
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Digital Twins of the Water Cooling System in a Power Plant Based on Fuzzy Logic.

Sensors (Basel, Switzerland) Oct 11, 2021
In the search for increased productivity and efficiency in the industrial sector, a new industrial revolution, called Industry 4.0, was promoted. In the electric sector, power plants seek to adapt these new concepts to optimize electric power generat...
Temperature Water Fuzzy Logic Power Plants Algorithms
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Anomaly Detection of Water Level Using Deep Autoencoder.

Sensors (Basel, Switzerland) Oct 8, 2021
Anomaly detection is one of the crucial tasks in daily infrastructure operations as it can prevent massive damage to devices or resources, which may then lead to catastrophic outcomes. To address this challenge, we propose an automated solution to de...
Neural Networks, Computer Water
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Lemongrass-Incorporated Tissue Conditioner with Adjustable Inhibitory Effect Against Candida albicans: An In Vitro Study.

The International journal of prosthodontics Oct 5, 2021
PURPOSE: To develop and assess lemongrass-incorporated tissue conditioners (LG-TCs) with a potent and long-lasting inhibitory effect against Candida albicans cultures to control the accumulation of fungi.
Water Antifungal Agents Nystatin Tissue Conditioning, Dental Candida albicans Oils, Volatile Cymbopogon
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Optimized Design of Neural Networks for a River Water Level Prediction System.

Sensors (Basel, Switzerland) Sep 29, 2021
In this paper, a Multi-Objective Genetic Algorithm (MOGA) framework for the design of Artificial Neural Network (ANN) models is used to design 1-step-ahead prediction models of river water levels. The design procedure is a near-automatic method that,...
Water Quality Neural Networks, Computer Rivers Water
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The assessment of emerging data-intelligence technologies for modeling Mg and SO surface water quality.

Journal of environmental management Sep 21, 2021
The concentration of soluble salts in surface water and rivers such as sodium, sulfate, chloride, magnesium ions, etc., plays an important role in the water salinity. Therefore, accurate determination of the distribution pattern of these ions can imp...
Intelligence Magnesium Water Quality Rivers Environmental Monitoring Least-Squares Analysis Water Humans Artificial Intelligence
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Using Neural Network Force Fields to Ascertain the Quality of Simulations of Liquid Water.

The journal of physical chemistry. B Sep 20, 2021
Accurately simulating the properties of bulk water, despite the apparent simplicity of the molecule, is still a challenge. In order to fully understand and reproduce its complex phase diagram, it is necessary to perform simulations at the level, inc...
Computer Simulation Water Neural Networks, Computer Electrons
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Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm.

Environmental science and pollution research international Sep 15, 2021
Evaporation is a crucial component to be established in agriculture management and water engineering. Evaporation prediction is thus an essential issue for modeling researchers. In this study, the multilayer perceptron (MLP) was used for predicting d...
Algorithms Water Neural Networks, Computer Uncertainty Malaysia
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Analysis on frosting of heat exchanger and numerical simulation of heat transfer characteristics using BP neural network learning algorithm.

PloS one Sep 2, 2021
The study is aimed at the frosting problem of the air source heat pump in the low temperature and high humidity environment, which reduces the service life of the system. First, the frosting characteristics at the evaporator side of the air source he...
Heating Freezing Hot Temperature Air Water Humidity Neural Networks, Computer Models, Theoretical Electrical Equipment and Supplies Machine Learning Computer Simulation
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