AIMC Topic: Gases

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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...
Animals Deep Learning Algorithms Gases Amines Colorimetry Cattle
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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...
Silver Metal Nanoparticles Pectins Gases Humans 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...
Air Pollution Environmental Pollution Environmental Monitoring Artificial Intelligence Gases
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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 Gases Reproducibility of Results Computer Simulation Algorithms
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Machine learning-based approach for efficient prediction of toxicity of chemical gases using feature selection.

Journal of hazardous materials May 10, 2023
Toxic gases can be fatal as they damage many living tissues, especially the nervous and respiratory systems. They can cause permanent damage for many years by harming environmental tissue and living organisms. They can also cause mass deaths when use...
Gases Bayes Theorem United States Amides Algorithms Machine Learning
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Optimization of the Mixed Gas Detection Method Based on Neural Network Algorithm.

ACS sensors Jan 26, 2023
Real-time mixed gas detection has attracted significant interest for being a key factor for applications of the electronic nose (E-nose). However, mixed gas detection still faces the challenge of long detection time and a large amount of training dat...
Algorithms Neural Networks, Computer Gases Electronic Nose Adsorption
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Application of Neural Network in Predicting HS from an Acid Gas Removal Unit (AGRU) with Different Compositions of Solvents.

Sensors (Basel, Switzerland) Jan 16, 2023
The gas sweetening process removes hydrogen sulfide (HS) in an acid gas removal unit (AGRU) to meet the gas sales' specification, known as sweet gas. Monitoring the concentration of HS in sweet gas is crucial to avoid operational and environmental is...
Gases Linear Models Hydrogen Sulfide Neural Networks, Computer Solvents
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Ultra-Low-Power E-Nose System Based on Multi-Micro-LED-Integrated, Nanostructured Gas Sensors and Deep Learning.

ACS nano Dec 19, 2022
As interests in air quality monitoring related to environmental pollution and industrial safety increase, demands for gas sensors are rapidly increasing. Among various gas sensor types, the semiconductor metal oxide (SMO)-type sensor has advantages o...
Silver Gases Deep Learning Electronic Nose Neural Networks, Computer
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Physics-informed machine learning methods for biomass gasification modeling by considering monotonic relationships.

Bioresource technology Dec 9, 2022
Machine learning methods have recently shown a broad application prospect in biomass gasification modeling. However, a significant drawback of the machine learning approaches is their poor physical interpretability when relying on limited experimenta...
Gases Physics Models, Theoretical Machine Learning Biomass Neural Networks, Computer
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A New Mixed-Gas-Detection Method Based on a Support Vector Machine Optimized by a Sparrow Search Algorithm.

Sensors (Basel, Switzerland) Nov 20, 2022
To solve the problem of the low recognition rate of mixed gases and consider the phenomenon of low prediction accuracy when traditional gas-concentration-prediction methods deal with nonlinear data, this paper proposes a mixed-gas identification and ...
Principal Component Analysis Gases Algorithms Support Vector Machine Neural Networks, Computer
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