AIMC Topic: Gases

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Prediction of Individual Gas Yields of Supercritical Water Gasification of Lignocellulosic Biomass by Machine Learning Models.

Molecules (Basel, Switzerland) May 16, 2024
Supercritical water gasification (SCWG) of lignocellulosic biomass is a promising pathway for the production of hydrogen. However, SCWG is a complex thermochemical process, the modeling of which is challenging via conventional methodologies. Therefor...
Support Vector Machine Methane Biomass Water Gases Hydrogen Carbon Dioxide Lignin Machine Learning Algorithms Neural Networks, Computer
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Measuring volume fractions of a three-phase flow without separation utilizing an approach based on artificial intelligence and capacitive sensors.

PloS one May 16, 2024
Many different kind of fluids in a wide variety of industries exist, such as two-phase and three-phase. Various combinations of them can be expected and gas-oil-water is one of the most common flows. Measuring the volume fraction of phases without se...
Artificial Intelligence Water Gases Electric Capacitance Neural Networks, Computer
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General Model for Predicting Response of Gas-Sensitive Materials to Target Gas Based on Machine Learning.

ACS sensors Apr 20, 2024
Gas sensors play a crucial role in various industries and applications. In recent years, there has been an increasing demand for gas sensors in society. However, the current method for screening gas-sensitive materials is time-, energy-, and cost-con...
Machine Learning Gases Density Functional Theory Zinc Oxide Adsorption
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Gas Graph Convolutional Transformer for Robust Generalization in Adaptive Gas Mixture Concentration Estimation.

ACS sensors Mar 21, 2024
Gas concentration estimation has a tremendous research significance in various fields. However, existing methods for estimating the concentration of mixed gases generally depend on specific data-preprocessing methods and suffer from poor generalizabi...
Gases Neural Networks, Computer Algorithms
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Data-centric artificial olfactory system based on the eigengraph.

Nature communications Feb 8, 2024
Recent studies of electronic nose system tend to waste significant amount of important data in odor identification. Until now, the sensitivity-oriented data composition has made it difficult to discover meaningful data to apply artificial intelligenc...
Smell Gases Technology Odorants Artificial Intelligence Humans
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Deep Learning Enabled SERS Identification of Gaseous Molecules on Flexible Plasmonic MOF Nanowire Films.

ACS sensors Feb 1, 2024
Through the capture of a target molecule at the metal surface with a highly confined electromagnetic field induced by surface plasmon, surface enhanced Raman spectroscopy (SERS) emerges as a spectral analysis technology with high sensitivity. However...
Gases Nanowires Metal-Organic Frameworks Aldehydes Deep Learning Spectrum Analysis, Raman
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Visible detection of chilled beef freshness using a paper-based colourimetric sensor array combining with deep learning algorithms.

Food chemistry Jan 6, 2024
This study developed an innovative approach that combines a colourimetric sensor array (CSA) composed of twelve pH-response dyes with advanced algorithms, aiming to detect amine gases and assess the freshness of chilled beef. With the assistance of m...
Colorimetry Gases Deep Learning Amines Algorithms Cattle Animals
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An Artificial Olfactory System Based on a Memristor Can Simulate Organ Injury and Functions in Air Purification.

ACS sensors Dec 7, 2023
Artificial olfactory systems are receiving increasing attention because of their potential applications in humanoid robots, artificial noses, and the next generation of human-computer interactions. However, simulating the human olfactory system, whic...
Pectins Gases Metal Nanoparticles Humans Silver Artificial Intelligence
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Air pollution forecasting based on wireless communications: review.

Environmental monitoring and assessment Sep 5, 2023
The development of contemporary artificial intelligence (AI) methods such as artificial neural networks (ANNs) has given researchers around the world new opportunities to address climate change and air quality issues. The small size, low cost, and lo...
Environmental Pollution Gases Air Pollution Artificial Intelligence Environmental Monitoring
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Information-Driven Gas Distribution Mapping for Autonomous Mobile Robots.

Sensors (Basel, Switzerland) Jun 7, 2023
The ability to sense airborne pollutants with mobile robots provides a valuable asset for domains such as industrial safety and environmental monitoring. Oftentimes, this involves detecting how certain gases are spread out in the environment, commonl...
Robotics Computer Simulation Gases Reproducibility of Results Algorithms
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