AIMC Topic: Water

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Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners.

European journal of nuclear medicine and molecular imaging Jul 19, 2022
PURPOSE: Attenuation correction is a critically important step in data correction in positron emission tomography (PET) image formation. The current standard method involves conversion of Hounsfield units from a computed tomography (CT) image to cons...
Deep Learning Water Humans Positron-Emission Tomography Fluorodeoxyglucose F18 Lutetium Background Radiation Magnetic Resonance Imaging Radiopharmaceuticals Image Processing, Computer-Assisted
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Well Performance Classification and Prediction: Deep Learning and Machine Learning Long Term Regression Experiments on Oil, Gas, and Water Production.

Sensors (Basel, Switzerland) Jul 16, 2022
In the oil and gas industries, predicting and classifying oil and gas production for hydrocarbon wells is difficult. Most oil and gas companies use reservoir simulation software to predict future oil and gas production and devise optimum field develo...
Machine Learning Software Deep Learning Water Neural Networks, Computer
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Non-Intrusive Fish Weight Estimation in Turbid Water Using Deep Learning and Regression Models.

Sensors (Basel, Switzerland) Jul 10, 2022
Underwater fish monitoring is the one of the most challenging problems for efficiently feeding and harvesting fish, while still being environmentally friendly. The proposed 2D computer vision method is aimed at non-intrusively estimating the weight o...
Deep Learning Water Neural Networks, Computer Animals Tilapia
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Research on water seepage detection technology of tunnel asphalt pavement based on deep learning and digital image processing.

Scientific reports Jul 7, 2022
To improve the safety of road tunnel pavement, the research established road tunnel pavement water seepage recognition models based on deep learning technology, and a water seepage area extraction model based on image processing technology to finally...
Image Processing, Computer-Assisted Technology Hydrocarbons Deep Learning Water
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Physics-informed neural networks for hydraulic transient analysis in pipeline systems.

Water research Jul 6, 2022
In water pipeline systems, monitoring and predicting hydraulic transient events are important to ensure the proper operation of pressure control devices (e.g., pressure reducing valves) and prevent potential damages to the network infrastructure. Sim...
Physics Neural Networks, Computer Water
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Enriching IoT Modules with Edge AI Functionality to Detect Water Misuse Events in a Decentralized Manner.

Sensors (Basel, Switzerland) Jun 28, 2022
The digital transformation of agriculture is a promising necessity for tackling the increasing nutritional needs of the population on Earth and the degradation of natural resources. Focusing on the "hot" area of natural resource preservation, the rec...
Water Artificial Intelligence Internet of Things Agriculture Humans Machine Learning
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GalaxyWater-CNN: Prediction of Water Positions on the Protein Structure by a 3D-Convolutional Neural Network.

Journal of chemical information and modeling Jun 24, 2022
Proteins interact with numerous water molecules to perform their physiological functions in biological organisms. Most water molecules act as solvent media; hence, their roles may be considered implicitly in theoretical treatments of protein structur...
Protein Binding Proteins Neural Networks, Computer Software Water
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Multi-channel GCN ensembled machine learning model for molecular aqueous solubility prediction on a clean dataset.

Molecular diversity Jun 23, 2022
This study constructed a new aqueous solubility dataset and a solubility regression model which was ensembled by GCN and machine learning models. Aqueous solubility is a key physiochemical property of small molecules in drug discovery. In the past fe...
Machine Learning Software Water Solubility Neural Networks, Computer
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Deep learning-based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training data.

Magnetic resonance in medicine Jun 17, 2022
PURPOSE: To enable a fast and automatic deep learning-based QSM reconstruction of tissues with diverse chemical shifts, relevant to most regions outside the brain.
Iodine Radioisotopes Brain Mapping Deep Learning Image Processing, Computer-Assisted Brain Water Humans Magnetic Resonance Imaging Male Algorithms
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A Novel Interannual Rainfall Runoff Equation Derived from Ol'Dekop's Model Using Artificial Neural Networks.

Sensors (Basel, Switzerland) Jun 8, 2022
In water resources management, modeling water balance factors is necessary to control dams, agriculture, irrigation, and also to provide water supply for drinking and industries. Generally, conceptual and physical models present challenges to find mo...
Water Movements Water Supply Water Neural Networks, Computer Agriculture Reproducibility of Results
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