AIMC Topic: Water

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Systematic Identification of Atom-Centered Symmetry Functions for the Development of Neural Network Potentials.

The journal of physical chemistry. A Oct 27, 2022
Neural network potentials are emerging as promising classical force fields that can enable long-time and large-length scale simulations at close to accuracies. They learn the underlying potential energy surface by mapping the Cartesian coordinates o...
Neural Networks, Computer Water
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FAPNET: Feature Fusion with Adaptive Patch for Flood-Water Detection and Monitoring.

Sensors (Basel, Switzerland) Oct 27, 2022
In satellite remote sensing applications, waterbody segmentation plays an essential role in mapping and monitoring the dynamics of surface water. Satellite image segmentation-examining a relevant sensor data spectrum and identifying the regions of in...
Neural Networks, Computer Artificial Intelligence Algorithms Water Image Processing, Computer-Assisted Floods
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Optimization method and experimental research on attitude adjustment scheme of attitude adaptive rescue robot.

Scientific reports Oct 26, 2022
To improve the space attitude adjustment efficiency of the robot designed in this study, the average water level height variation of each ballast tank during the rescue process and the ballast water filling mass before the rescue process are taken as...
Algorithms Computer Simulation Water Robotics Attitude
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Three-dimensional inversion analysis of transient electromagnetic response signals of water-bearing abnormal bodies in tunnels based on numerical characteristic parameters.

Mathematical biosciences and engineering : MBE Oct 25, 2022
The transient electromagnetic inversion of detection signals mainly depends on fast inversion in the half-space state. However, the interpretation results have a certain degree of uncertainty and blindness, so the accuracy and applicability of the th...
Neural Networks, Computer Algorithms Water
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A Deep Learning Approach to Organic Pollutants Classification Using Voltammetry.

Sensors (Basel, Switzerland) Oct 21, 2022
This paper proposes a deep leaning technique for accurate detection and reliable classification of organic pollutants in water. The pollutants are detected by means of cyclic voltammetry characterizations made by using low-cost disposable screen-prin...
Deep Learning Water Environmental Pollutants Nanotubes, Carbon Hydroquinones Benzoquinones
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Use of support vector machine and cellular automata methods to evaluate impact of irrigation project on LULC.

Environmental monitoring and assessment Oct 20, 2022
Land use and land cover (LULC) both define the earth's surface both anthropogenically and naturally. It helps maintain global balance but changes in land use create inequality. The LULC modification adversely affects physical parameters such as infil...
Water Environmental Monitoring Support Vector Machine Cellular Automata Conservation of Natural Resources
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Validation of a deep learning-based material estimation model for Monte Carlo dose calculation in proton therapy.

Physics in medicine and biology Oct 19, 2022
. Computed tomography (CT) to material property conversion dominates proton range uncertainty, impacting the quality of proton treatment planning. Physics-based and machine learning-based methods have been investigated to leverage dual-energy CT (DEC...
Animals Swine Deep Learning Water Radiotherapy Planning, Computer-Assisted Monte Carlo Method Phantoms, Imaging Proton Therapy Protons
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Fast Underwater Optical Beacon Finding and High Accuracy Visual Ranging Method Based on Deep Learning.

Sensors (Basel, Switzerland) Oct 18, 2022
Visual recognition and localization of underwater optical beacons is an important step in autonomous underwater vehicle (AUV) docking. The main issues that restrict the use of underwater monocular vision range are the attenuation of light in water, t...
Research Design Deep Learning Water Image Enhancement
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Light-Fueled Hydrogel Actuators with Controlled Deformation and Photocatalytic Activity.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Oct 17, 2022
Hydrogel actuators have shown great promise in underwater robotic applications as they can generate controllable shape transformations upon stimulation due to their ability to absorb and release water reversibly. Herein, a photoresponsive anisotropic...
Water Robotics Hydrogels
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Days-ahead water level forecasting using artificial neural networks for watersheds.

Mathematical biosciences and engineering : MBE Oct 14, 2022
Watersheds of tropical countries having only dry and wet seasons exhibit contrasting water level behaviour compared to countries having four seasons. With the changing climate, the ability to forecast the water level in watersheds enables decision-ma...
Neural Networks, Computer Algorithms Forecasting Water Seasons
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