AIMC Topic: Water

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A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm.

The Science of the total environment Apr 7, 2022
A high-resolution soil moisture prediction method has recently gained its importance in various fields such as forestry, agricultural and land management. However, accurate, robust and non- cost prohibitive spatially monitoring of soil moisture is ch...
Radar Machine Learning Algorithms Soil Water
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Experimental Voltammetry Analyzed Using Artificial Intelligence: Thermodynamics and Kinetics of the Dissociation of Acetic Acid in Aqueous Solution.

Analytical chemistry Apr 5, 2022
Artificial intelligence (AI) is used to quantitatively analyze the voltammetry of the reduction of acetic acid in aqueous solution generating thermodynamic and kinetic data. Specifically, the variation of the steady-state current for the reduction of...
Water Kinetics Artificial Intelligence Acetic Acid Protons Hydrogen-Ion Concentration Thermodynamics
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New double decomposition deep learning methods for river water level forecasting.

The Science of the total environment Mar 24, 2022
Forecasting river water levels or streamflow water levels (SWL) is vital to optimising the practical and sustainable use of available water resources. We propose a new deep learning hybrid model for SWL forecasting using convolutional neural networks...
Rivers Forecasting Deep Learning Water Neural Networks, Computer Australia
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Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations.

The Science of the total environment Mar 23, 2022
The monthly high-resolution terrestrial water storage anomalies (TWSA) during the 11-months of gap between GRACE (Gravity Recovery And Climate Experiment) and its successor GRACE-FO (-Follow On) missions are missing. The continuity of the GRACE-like ...
Bayes Theorem Hydrolases Hydrology Water Groundwater Deep Learning
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Many-Body Neural Network-Based Force Field for Structure-Based Coarse-Graining of Water.

The journal of physical chemistry. A Mar 22, 2022
High-fidelity results from atomistic simulations can only be obtained by using accurate force-field (FF) parameters. Although empirical FFs are commonly used in the modeling of atomistic systems due to their simplicity, they have many limitations inh...
Algorithms Water Neural Networks, Computer
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Amenity counts significantly improve water consumption predictions.

PloS one Mar 18, 2022
Anticipating the increase in water demand in an urban area requires us to properly understand daily human movement driven by population size, land use, and amenity types among others. Mobility data from phones can capture human movement, but not only...
Drinking Pandemics Humans Philippines Water Machine Learning
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High Energy and Power Density Peptidoglycan Muscles through Super-Viscous Nanoconfined Water.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 14, 2022
Water-responsive (WR) materials that reversibly deform in response to humidity changes show great potential for developing muscle-like actuators for miniature and biomimetic robotics. Here, it is presented that Bacillus (B.) subtilis' peptidoglycan (...
Water Robotics Peptidoglycan Elastomers Muscles
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Modeling solubility of CO-N gas mixtures in aqueous electrolyte systems using artificial intelligence techniques and equations of state.

Scientific reports Mar 7, 2022
Determining the solubility of non-hydrocarbon gases such as carbon dioxide (CO) and nitrogen (N) in water and brine is one of the most controversial challenges in the oil and chemical industries. Although many researches have been conducted on solubi...
Artificial Intelligence Solubility Water Gases Carbon Dioxide
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Predicting daily pore water pressure in embankment dam: Empowering Machine Learning-based modeling.

Environmental science and pollution research international Feb 18, 2022
Dam safety assessment is important to implement the appropriate measures to avoid a dam break disaster as part of the water reservoirs management process. Prediction-based approaches are valuable to compare the actual measurements with the simulated ...
Neural Networks, Computer Linear Models Machine Learning Water Power, Psychological Support Vector Machine
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Improvement of DBR routing protocol in underwater wireless sensor networks using fuzzy logic and bloom filter.

PloS one Feb 7, 2022
Routing protocols for underwater wireless sensor networks (UWSN) and underwater Internet of Things (IoT_UWSN) networks have expanded significantly. DBR routing protocol is one of the most critical routing protocols in UWSNs. In this routing protocol,...
Water Biosensing Techniques Computer Simulation Oceans and Seas Computer Communication Networks Eutrophication Humans Water Microbiology Quality Improvement Wireless Technology Algorithms Fuzzy Logic Electric Power Supplies Filtration Cluster Analysis
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