AIMC Topic: Gases

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A flow pattern recognition method for gas-liquid two-phase flow based on dilated convolutional channel attention mechanism.

PloS one Jun 24, 2025
Addressing the issue of insufficient key feature extraction leading to low recognition rates in existing deep learning-based flow pattern identification methods, this paper proposes a novel flow pattern image recognition model, Enhanced DenseNet with...
Neural Networks, Computer Algorithms Pattern Recognition, Automated Gases Deep Learning Image Processing, Computer-Assisted
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Gas Sensor Drift Compensation Using Semi-Supervised Ensemble Classifiers with Multi-Level Features and Center Loss.

ACS sensors Apr 8, 2025
The drift compensation of gas sensors is a significant and challenging issue in the field of electronic noses (E-nose). Compensating sensor drift has a great benefit in improving the performance of E-nose systems. However, conventional methods often ...
Gases Electronic Nose Neural Networks, Computer Algorithms
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Machine learning-assisted prediction of gas production during co-pyrolysis of biomass and waste plastics.

Waste management (New York, N.Y.) Mar 18, 2025
A general method for predicting gas yield is crucial in biomass and plastics co-pyrolysis. This study employed two machine learning methods to forecast gas yield in co-pyrolysis. Comparing the predictive performance of Support Vector Regression (SVR)...
Biomass Plastics Gases Machine Learning Pyrolysis
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Artificial Intelligence in Gas Sensing: A Review.

ACS sensors Mar 11, 2025
The role of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in enhancing and automating gas sensing methods and the implications of these technologies for emergent gas sensor systems is reviewed. Applications of AI-based i...
Deep Learning Artificial Intelligence Environmental Monitoring Humans Machine Learning Gases
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Nanomaterial Innovations and Machine Learning in Gas Sensing Technologies for Real-Time Health Diagnostics.

ACS sensors Mar 10, 2025
Breath sensors represent a frontier in noninvasive diagnostics, leveraging the detection of volatile organic compounds (VOCs) in exhaled breath for real-time health monitoring. This review highlights recent advancements in breath-sensing technologies...
Volatile Organic Compounds Gases Machine Learning Nanostructures Breath Tests Humans
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Prediction of landfill gases concentration based on Grey Wolf Optimization - Support Vector Regression during landfill excavation process.

Waste management (New York, N.Y.) Mar 4, 2025
In some areas, there is a phenomenon that the landfill is full or even over-capacity with the extension of the service period. With the aging and damage of the protective facilities, this phenomenon may have a more serious impact on the surrounding e...
Environmental Monitoring Support Vector Machine Algorithms Refuse Disposal Odorants Waste Disposal Facilities Air Pollutants Gases
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Robotic-based Experimental Procedure for Colorimetric Gas Sensing Development.

Journal of visualized experiments : JoVE Feb 28, 2025
This paper presents a robot-based experimental program aimed at developing an efficient and fast colorimetric gas sensor. The program employs an automated Design-Build-Test-learning (DBTL) approach, which optimizes the search process iteratively whil...
Colorimetry Gases Algorithms Robotics
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Selective gas adsorption using graphitic carbon nitride: Exploring the role of molecular descriptors by artificial intelligence frameworks.

Journal of environmental management Feb 10, 2025
Artificial Intelligence (AI) frameworks estimate the adsorption energies of crucial pollutants like CO, O, NO, NO, SOF, HCHO, and CO on Graphitic Carbon Nitride (g-CN) surfaces. The predictive capabilities of two AI-based models, namely, Artificial N...
Adsorption Graphite Nitrogen Compounds Gases Neural Networks, Computer Artificial Intelligence
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Multifunctional Fiber Robotics with Low Mechanical Hysteresis for Magnetic Navigation and Inhaled Gas Sensing.

ACS sensors Feb 7, 2025
Recently, increasing research attention has been directed toward detecting the distribution of hazardous gases in the respiratory system for potential diagnosis and treatment of lung injury. Among various technologies, magnetic fiber robots exhibit g...
Robotics Titanium Gases
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Multigas Identification by Temperature-Modulated Operation of a Single Anodic Aluminum Oxide Gas Sensor Platform and Deep Learning Algorithm.

ACS sensors Jan 20, 2025
Semiconductor metal oxide (SMO) gas sensors are gaining prominence owing to their high sensitivity, rapid response, and cost-effectiveness. These sensors detect changes in resistance resulting from oxidation-reduction reactions with target gases, res...
Gases Deep Learning Algorithms Acetone Ethanol Aluminum Oxide Neural Networks, Computer Nitrogen Dioxide Electrodes Temperature Semiconductors Ammonia
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