AIMC Topic: Water

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Hierarchical deep learning model to simulate phytoplankton at phylum/class and genus levels and zooplankton at the genus level.

Water research Apr 23, 2022
Harmful algal blooms (HABs) have become a global issue, affecting public health and water industries in numerous countries. Because funds for monitoring HABs are limited, model development may be an alternative approach for understanding and managing...
Deep Learning Animals Water Phytoplankton Plankton Ecosystem Zooplankton
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A Hybrid Water Balance Machine Learning Model to Estimate Inter-Annual Rainfall-Runoff.

Sensors (Basel, Switzerland) Apr 23, 2022
Watershed climatic diversity poses a hard problem when it comes to finding suitable models to estimate inter-annual rainfall runoff (IARR). In this work, a hybrid model (dubbed MR-CART) is proposed, based on a combination of MR (multiple regression) ...
Multivariate Analysis Water Movements Machine Learning Reproducibility of Results Water
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Parallel transmission in a synthetic nerve.

Nature chemistry Apr 21, 2022
Bioelectronic devices that are tetherless and soft are promising developments in medicine, robotics and chemical computing. Here, we describe bioinspired synthetic neurons, composed entirely of soft, flexible biomaterials, capable of rapid electroche...
Water Lipid Bilayers Neurons Hydrogels Robotics
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When Bubbles Are Not Spherical: Artificial Intelligence Analysis of Ultrasonic Cavitation Bubbles in Solutions of Varying Concentrations.

The journal of physical chemistry. B Apr 18, 2022
Ultrasonic irradiation of liquids, such as water-alcohol solutions, results in cavitation or the formation of small bubbles. Cavitation bubbles are generated in real solutions without the use of optical traps making our system as close to real condit...
Ultrasonics Motion Artificial Intelligence Acoustics Water
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Development of a Soft Sensor for Flow Estimation in Water Supply Systems Using Artificial Neural Networks.

Sensors (Basel, Switzerland) Apr 18, 2022
A water supply system is considered an essential service to the population as it is about providing an essential good for life. This system typically consists of several sensors, transducers, pumps, etc., and some of these elements have high costs an...
Water Supply Transducers Water Neural Networks, Computer Nonlinear Dynamics
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Root-zone soil moisture estimation based on remote sensing data and deep learning.

Environmental research Apr 14, 2022
Soil moisture in the root zone is the most important factor in eco-hydrological processes. Even though soil moisture can be obtained by remote sensing, limited to the top few centimeters (<5 cm). Researchers have attempted to estimate root-zone soil ...
Remote Sensing Technology Soil Water Deep Learning Artificial Intelligence
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Accurate Prediction of Aqueous Free Solvation Energies Using 3D Atomic Feature-Based Graph Neural Network with Transfer Learning.

Journal of chemical information and modeling Apr 14, 2022
Graph neural network (GNN)-based deep learning (DL) models have been widely implemented to predict the experimental aqueous solvation free energy, while its prediction accuracy has reached a plateau partly due to the scarcity of available experimenta...
Neural Networks, Computer Machine Learning Molecular Dynamics Simulation Entropy Water
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Programmable Morphing Hydrogels for Soft Actuators and Robots: From Structure Designs to Active Functions.

Accounts of chemical research Apr 12, 2022
Nature provides abundant inspiration and elegant paradigms for the development of smart materials that can actuate, morph, and move on demand. One remarkable capacity of living organisms is to adapt their shapes or positions in response to stimuli. P...
Smart Materials Hydrogels Water Motion Robotics
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Hyperspectral retrievals of suspended sediment using cluster-based machine learning regression in shallow waters.

The Science of the total environment Apr 10, 2022
Remote sensing of suspended sediment in shallow waters is challenging because of the increased optical variability of the water, resulting from the influence of suspended matter in the water column and the heterogeneous bottom properties. To overcome...
Water Machine Learning Geologic Sediments
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A deep learning-based hybrid model of global terrestrial evaporation.

Nature communications Apr 8, 2022
Terrestrial evaporation (E) is a key climatic variable that is controlled by a plethora of environmental factors. The constraints that modulate the evaporation from plant leaves (or transpiration, E) are particularly complex, yet are often assumed to...
Ecosystem Plant Leaves Plant Transpiration Water Deep Learning
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