AIMC Topic: Water

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Cerebral blood flow measurements with O-water PET using a non-invasive machine-learning-derived arterial input function.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Feb 8, 2021
Cerebral blood flow (CBF) can be measured with dynamic positron emission tomography (PET) of O-labeled water by using tracer kinetic modelling. However, for quantification of regional CBF, an arterial input function (AIF), obtained from arterial bloo...
Humans Machine Learning Positron-Emission Tomography Cerebrovascular Circulation Retrospective Studies Water
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New methods based on back propagation (BP) and radial basis function (RBF) artificial neural networks (ANNs) for predicting the occurrence of haloketones in tap water.

The Science of the total environment Feb 2, 2021
Haloketones (HKs) is one class of disinfection by-products (DBPs) which is genetically toxic and mutagenic. Monitoring HKs in drinking water is important for drinking water safety, yet it is a time-consuming and laborious job. Developing predictive m...
Water Disinfection Neural Networks, Computer
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A cumulative-risk assessment method based on an artificial neural network model for the water environment.

Environmental science and pollution research international Jan 25, 2021
To analyze the cumulative risks to the water environment, the backpropagation artificial neural network (BP-ANN), a self-adapting algorithm, was proposed in this study. A new comprehensive indicator of cumulative risks was formed by combining the wat...
Neural Networks, Computer Risk Assessment Water Algorithms Water Purification
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Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia.

Environmental science and pollution research international Jan 6, 2021
Sustainable water demand management has become a necessity to the world since the immensely growing population and development have caused water deficit and groundwater depletion. This study aims to overcome water deficit by analyzing water demand at...
Groundwater Fuzzy Logic Malaysia Lakes Humans Water
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Automated technique for high-pressure water-based window cleaning and accompanying parametric study.

PloS one Dec 3, 2020
The maintenance of buildings has become an important issue with the construction of many high-rise buildings in recent years. However, the cleaning of the outer walls of buildings is performed in highly hazardous environments over long periods, and m...
Construction Industry Water Maintenance Humans Hydrostatic Pressure Robotics
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Target-Specific Drug Design Method Combining Deep Learning and Water Pharmacophore.

Journal of chemical information and modeling Nov 30, 2020
Following identification of a target protein, hit identification, which finds small organic molecules that bind to the target, is an important first step of a structure-based drug design project. In this study, we demonstrate a target-specific drug d...
Proteins Ligands Water Algorithms Molecular Docking Simulation Drug Design Deep Learning
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Robust water-fat separation based on deep learning model exploring multi-echo nature of mGRE.

Magnetic resonance in medicine Nov 24, 2020
PURPOSE: To design a new deep learning network for fast and accurate water-fat separation by exploring the correlations between multiple echoes in multi-echo gradient-recalled echo (mGRE) sequence and evaluate the generalization capabilities of the n...
Body Water Magnetic Resonance Imaging Adipose Tissue Humans Deep Learning Water Image Processing, Computer-Assisted
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A comparison of two remotely operated vehicle (ROV) survey methods used to estimate fish assemblages and densities around a California oil platform.

PloS one Nov 10, 2020
Offshore oil and gas platforms have a finite life of production operations. Once production ceases, decommissioning options for the platform are assessed. The role that a platform's jacket plays as fish habitat can inform the decommissioning decision...
Surveys and Questionnaires Water Population Density Ecosystem Oil and Gas Fields California Animals Environmental Monitoring Biodiversity Robotics Fishes
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On the many-body nature of intramolecular forces in FFLUX and its implications.

Journal of computational chemistry Oct 27, 2020
FFLUX is a biomolecular force field under construction, based on Quantum Chemical Topology (QCT) and machine learning (kriging), with a minimalistic and physically motivated design. A detailed analysis of the forces within the kriging models as treat...
Machine Learning Computer Simulation Water Models, Chemical
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Deep neural network for water/fat separation: Supervised training, unsupervised training, and no training.

Magnetic resonance in medicine Oct 26, 2020
PURPOSE: To use a deep neural network (DNN) for solving the optimization problem of water/fat separation and to compare supervised and unsupervised training.
Deep Learning Neural Networks, Computer Algorithms Water
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