AIMC Topic: Gases

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Methodology for Quantifying Volatile Compounds in a Liquid Mixture Using an Algorithm Combining B-Splines and Artificial Neural Networks to Process Responses of a Thermally Modulated Metal-Oxide Semiconductor Gas Sensor.

Sensors (Basel, Switzerland) Nov 19, 2022
Metal oxide semiconductor (MOS) gas sensors have many advantages, but the main obstacle to their widespread use is the cross-sensitivity observed when using this type of detector to analyze gas mixtures. Thermal modulation of the heater integrated wi...
Neural Networks, Computer Semiconductors Gases Algorithms Oxides
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Gas Recognition in E-Nose System: A Review.

IEEE transactions on biomedical circuits and systems May 19, 2022
Gas recognition is essential in an electronic nose (E-nose) system, which is responsible for recognizing multivariate responses obtained by gas sensors in various applications. Over the past decades, classical gas recognition approaches such as princ...
Electronic Nose Principal Component Analysis Gases Neural Networks, Computer Algorithms
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Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm.

Sensors (Basel, Switzerland) Apr 15, 2022
Ultra-low-power is a key performance indicator in 6G-IoT ecosystems. Sensor nodes in this eco-system are also capable of running light-weight artificial intelligence (AI) models. In this work, we have achieved high performance in a gas sensor system ...
Ecosystem Gases Neural Networks, Computer Artificial Intelligence
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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...
Water Carbon Dioxide Artificial Intelligence Solubility Gases
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Assessment of medical waste generation, associated environmental impact, and management issues after the outbreak of COVID-19: A case study of the Hubei Province in China.

PloS one Jan 24, 2022
COVID-19 greatly challenges the human health sector, and has resulted in a large amount of medical waste that poses various potential threats to the environment. In this study, we compiled relevant data released by official agencies and the media, an...
Environment Incineration Chlorides Humans Neural Networks, Computer COVID-19 Medical Waste Environmental Pollution China Waste Management Air Pollution Gases Wastewater SARS-CoV-2
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Rapid Quantitative Analysis of IR Absorption Spectra for Trace Gas Detection by Artificial Neural Networks Trained with Synthetic Data.

Sensors (Basel, Switzerland) Jan 23, 2022
Infrared absorption spectroscopy is a widely used tool to quantify and monitor compositions of gases. The concentration information is often retrieved by fitting absorption profiles to the acquired spectra, utilizing spectroscopic databases. In compl...
Spectrophotometry, Infrared Least-Squares Analysis Gases Neural Networks, Computer Algorithms
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Pyrolytic characteristics of fine materials from municipal solid waste using TG-FTIR, Py-GC/MS, and deep learning approach: Kinetics, thermodynamics, and gaseous products distribution.

Chemosphere Jan 5, 2022
Fine materials (FM) from municipal solid waste (MSW) classification require disposal, and pyrolysis is a feasible method for the treatments. Hence, the behavior, kinetics, and products of FM pyrolysis were investigated in this study. A deep learning ...
Pyrolysis Thermogravimetry Solid Waste Gases Thermodynamics Deep Learning Spectroscopy, Fourier Transform Infrared Kinetics Gas Chromatography-Mass Spectrometry
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Advanced Recovery and High-Sensitive Properties of Memristor-Based Gas Sensor Devices Operated at Room Temperature.

ACS sensors Nov 16, 2021
Fast recovery, high sensitivity, high selectivity, and room temperature (RT) sensing characteristics of NO gas sensors are essential for environmental monitoring, artificial intelligence, and inflammatory diagnosis of asthma patients. However, the co...
Gases Temperature Semiconductors Humans Artificial Intelligence
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Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots.

Sensors (Basel, Switzerland) Nov 4, 2021
In recent years the degree of automation in life science laboratories increased considerably by introducing stationary and mobile robots. This trend requires intensified considerations of the occupational safety for cooperating humans, since the robo...
Humans Gases Robotics Biological Science Disciplines Solvents
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Targeted Free Energy Perturbation Revisited: Accurate Free Energies from Mapped Reference Potentials.

The journal of physical chemistry letters Sep 23, 2021
We present an approach that extends the theory of targeted free energy perturbation (TFEP) to calculate free energy differences and free energy surfaces at an accurate quantum mechanical level of theory from a cheaper reference potential. The converg...
Gases Models, Theoretical Neural Networks, Computer Thermodynamics Quantum Theory
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