AIMC Topic: Water

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Deep learning identifies accurate burst locations in water distribution networks.

Water research Sep 6, 2019
Pipe bursts in water distribution networks lead to considerable water loss and pose risks of bacteria and pollutant contamination. Pipe burst localisation methods help water service providers repair the burst pipes and restore water supply timely and...
Deep Learning Water Water Supply Neural Networks, Computer Algorithms
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Prediction model for the water jet falling point in fire extinguishing based on a GA-BP neural network.

PloS one Sep 4, 2019
Past research on the process of extinguishing a fire typically used a traditional linear water jet falling point model and the results ignored external factors, such as environmental conditions and the status of the fire engine, even though the water...
Fires Neural Networks, Computer Hydrodynamics Water Models, Theoretical
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Flow regime identification for air valves failure evaluation in water pipelines using pressure data.

Water research Aug 19, 2019
Air valve failure can cause air accumulation and result in a loss of carrying capacity, pipe vibration and even in some situations a catastrophic failure of water transmission pipelines. Air is most likely to accumulate in downward sloping pipes, lea...
Water Support Vector Machine Pressure
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Analysis of crystallization phenomenon in Indian honey using molecular dynamics simulations and artificial neural network.

Food chemistry Jul 15, 2019
Molecular dynamics simulation was performed on sugar profile and moisture content-based mixture systems of six Indian honey samples. Comparative studies were performed to understand the interactive effects of fructose, glucose, sucrose, maltose and w...
Crystallization Maltose Honey Fructose Neural Networks, Computer Glucose Water Molecular Dynamics Simulation India Sucrose
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An adaptive Kalman filtering algorithm based on back-propagation (BP) neural network applied for simultaneously detection of exhaled CO and NO.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 29, 2019
A compact high-resolution spectroscopic sensor using a thermoelectrically (TE) cooled continuous-wave (CW) room temperature (RT) quantum cascade laser (QCL) was demonstrated for simultaneous measurements of exhaled carbon monoxide (CO) and nitrous ox...
Algorithms Water Air Pollution, Indoor Humans Neural Networks, Computer Carbon Monoxide Exhalation Nitrous Oxide Spectrum Analysis Smoking Pressure
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Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury.

Scientific reports May 28, 2019
Muscle fat infiltration (MFI) of the deep cervical spine extensors has been observed in cervical spine conditions using time-consuming and rater-dependent manual techniques. Deep learning convolutional neural network (CNN) models have demonstrated st...
Pain Spectrum Analysis Whiplash Injuries Muscle, Skeletal Adipose Tissue Spine Female Longitudinal Studies Reproducibility of Results Neck Adult Male Magnetic Resonance Imaging Humans Water Neural Networks, Computer Image Processing, Computer-Assisted
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Comprehensive Eutrophication Assessment Based on Fuzzy Matter Element Model and Monte Carlo-Triangular Fuzzy Numbers Approach.

International journal of environmental research and public health May 19, 2019
Evaluating the eutrophication level of lakes with a single method alone is challenging since uncertain, fuzzy, and complex processes exist in eutrophication evaluations. The parameters selected for assessing eutrophication include chlorophyII-a, chem...
Nitrogen Phosphorus Monte Carlo Method Water Models, Theoretical Fuzzy Logic Uncertainty Eutrophication Lakes China
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Research on soil moisture prediction model based on deep learning.

PloS one Apr 3, 2019
Soil moisture is one of the main factors in agricultural production and hydrological cycles, and its precise prediction is important for the rational use and management of water resources. However, soil moisture involves complex structural characteri...
Regression Analysis Temperature Weather Soil Agricultural Irrigation Reproducibility of Results Droughts Agriculture Algorithms Deep Learning Meteorology Models, Theoretical China Groundwater Water
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Water-fat separation and parameter mapping in cardiac MRI via deep learning with a convolutional neural network.

Journal of magnetic resonance imaging : JMRI Jan 30, 2019
BACKGROUND: Water-fat separation is a postprocessing technique most commonly applied to multiple-gradient-echo magnetic resonance (MR) images to identify fat, provide images with fat suppression, and to measure fat tissue concentration. Recently, Num...
Middle Aged Severity of Illness Index Deep Learning Water Magnetic Resonance Imaging Adipose Tissue Retrospective Studies Image Interpretation, Computer-Assisted Heart Humans Female Feasibility Studies Male Neural Networks, Computer Myocardial Infarction
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A robotic platform to screen aqueous two-phase systems for overcoming inhibition in enzymatic reactions.

Bioresource technology Jan 30, 2019
Aqueous two-phase systems (ATPS) can be applied to enzymatic reactions that are affected by product inhibition. In the biorefinery context, sugars inhibit the cellulolytic enzymes in charge of converting the biomass. Here, we present a strategy to se...
Solutions Robotics Polymers Sodium Chloride Water
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