AIMC Topic: Water

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Predicting the pulse of urban water demand: a machine learning approach to deciphering meteorological influences.

BMC research notes Aug 9, 2024
OBJECTIVE: This study delves into the impact of urban meteorological elements-specifically, air temperature, relative humidity, and atmospheric pressure-on water consumption in Kamyaran city. Data on urban water consumption, temperature (in Celsius),...
Seasons Atmospheric Pressure Water Cities Meteorological Concepts Humidity Water Supply Machine Learning Temperature Humans
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Spatially Resolved Uncertainties for Machine Learning Potentials.

Journal of chemical information and modeling Aug 7, 2024
Machine learning potentials have become an essential tool for atomistic simulations, yielding results close to ab initio simulations at a fraction of computational cost. With recent improvements on the achievable accuracies, the focus has now shifted...
Machine Learning Water Molecular Dynamics Simulation Uncertainty
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Design of a bipedal robot for water running based on a six-linkage mechanism inspired by basilisk lizards.

Bioinspiration & biomimetics Aug 5, 2024
Legged robots have received widespread attention in academia and engineering owing to their excellent terrain adaptability. However, most legged robots can only adapt to high-hardness environments instead of flexible environments. Expanding the motio...
Robotics Equipment Design Animals Water Biomimetics Hydrodynamics Lizards Models, Biological Running Algorithms Biomechanical Phenomena
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Deep-Learning-Guided Electrochemical Impedance Spectroscopy for Calibration-Free Pharmaceutical Moisture Content Monitoring.

ACS sensors Aug 3, 2024
The moisture content of pharmaceutical powders can significantly impact the physical and chemical properties of drug formulations, solubility, flowability, and stability. However, current technologies for measuring moisture content in pharmaceutical ...
Pharmaceutical Preparations Calibration Dielectric Spectroscopy Deep Learning Water
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Basic research for identification and classification of organophosphorus pesticides in water based on ultraviolet-visible spectroscopy information.

Environmental science and pollution research international Jul 8, 2024
In this study, the goal was to develop a method for detecting and classifying organophosphorus pesticides (OPPs) in bodies of water. Sixty-five samples with different concentrations were prepared for each of the organophosphorus pesticides, namely ch...
Pesticides Organophosphorus Compounds Support Vector Machine Water Pollutants, Chemical Water Environmental Monitoring Machine Learning Algorithms Neural Networks, Computer
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ATR-FTIR spectroscopy and machine/deep learning models for detecting adulteration in coconut water with sugars, sugar alcohols, and artificial sweeteners.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 3, 2024
Packaged coconut water offers various options, from pure to those with added sugars and other additives. While the purity of coconut water is esteemed for its health benefits, its popularity also exposes it to potential adulteration and misrepresenta...
Machine Learning Water Spectroscopy, Fourier Transform Infrared Deep Learning Cocos Food Contamination Sugars Principal Component Analysis Sugar Alcohols Sweetening Agents
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Clivia biosensor: Soil moisture identification based on electrophysiology signals with deep learning.

Biosensors & bioelectronics Jun 25, 2024
Research has shown that plants have the ability to detect environmental changes and generate electrical signals in response. These electrical signals can regulate the physiological state of plants and produce corresponding feedback. This suggests tha...
Soil Deep Learning Neural Networks, Computer Environmental Monitoring Plants Water Biosensing Techniques
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Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective.

Water research Jun 24, 2024
Against the backdrop of severe leakage issue in water distribution systems (WDSs), numerous researchers have focused on the development of deep learning-based acoustic leak detection technologies. However, these studies often prioritize model develop...
Neural Networks, Computer Water Acoustics Water Supply Deep Learning
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Towards transferable metamodels for water distribution systems with edge-based graph neural networks.

Water research Jun 20, 2024
Data-driven metamodels reproduce the input-output mapping of physics-based models while significantly reducing simulation times. Such techniques are widely used in the design, control, and optimization of water distribution systems. Recent research h...
Water Supply Water Neural Networks, Computer Models, Theoretical Computer Simulation
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Comparison of water and terrestrial jumping in natural and robotic insects.

Annals of the New York Academy of Sciences Jun 19, 2024
Jumping requires high actuation power for achieving high speed in a short time. Especially, organisms and robots at the insect scale jump in order to overcome size limits on the speed of locomotion. As small jumpers suffer from intrinsically small po...
Locomotion Robotics Insecta Animals Water Biomechanical Phenomena
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