AIMC Topic: Ammonia

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A Synergistic Approach Using Photoacoustic Spectroscopy and AI-Based Image Analysis for Post-Harvest Quality Assessment of Conference Pears.

Molecules (Basel, Switzerland) Jun 1, 2025
This study presents a non-invasive approach to monitoring post-harvest fruit quality by applying CO laser photoacoustic spectroscopy (COLPAS) to study the respiration of "Conference" pears from local and commercially stored (supermarket) sources. Con...
Artificial Intelligence Image Processing, Computer-Assisted Ethanol Food Quality Photoacoustic Techniques Ethylenes Fruit Spectrum Analysis Ammonia
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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...
Deep Learning Ethanol Acetone Neural Networks, Computer Algorithms Temperature Aluminum Oxide Ammonia Electrodes Gases Semiconductors Nitrogen Dioxide
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Enhanced prediction of partial nitrification-anammox process in wastewater treatment by developing an attention-based deep learning network.

Journal of environmental management Jan 9, 2025
In the process of partial nitrification and anaerobic ammonia oxidation (anammox) for nitrogen removal, the process offers simple metabolic pathways, low operating costs, and high nitrogenous loading rates. However, since the partial nitrification-an...
Wastewater Nitrogen Deep Learning Ammonia Nitrification Waste Disposal, Fluid Oxidation-Reduction Bioreactors
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A new prediction model based on deep learning for pig house environment.

Scientific reports Dec 28, 2024
A prediction model of the pig house environment based on Bayesian optimization (BO), squeeze and excitation block (SE), convolutional neural network (CNN) and gated recurrent unit (GRU) is proposed to improve the prediction accuracy and animal welfar...
Bayes Theorem Animal Welfare Animals Housing, Animal Neural Networks, Computer Ammonia Swine Algorithms Deep Learning Temperature
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Predicting the adsorption of ammonia nitrogen by biochar in water bodies using machine learning strategies: Model optimization and analysis of key characteristic variables.

Environmental research Dec 14, 2024
Biochar adsorption technology has been widely used to remove ammonia nitrogen from water bodies. However, existing methods for predicting adsorption efficiency often lack sufficient accuracy and practical usability. This study evaluated eight machine...
Charcoal Nitrogen Ammonia Water Pollutants, Chemical Adsorption Machine Learning Water Purification
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Ammonia and ethanol detection via an electronic nose utilizing a bionic chamber and a sparrow search algorithm-optimized backpropagation neural network.

PloS one Dec 3, 2024
Ammonia is widely acknowledged to be a stressor and one of the most detrimental gases in animal enclosures. In livestock- and poultry-breeding facilities, a precise, rapid, and affordable method for detecting ammonia concentrations is essential. We d...
Dogs Electronic Nose Humans Ammonia Algorithms Neural Networks, Computer Bionics Animals Ethanol
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SERS-AI Based Detection and Bioanalysis of Malodorous Components in Kitchen Waste.

Analytical chemistry Nov 26, 2024
The prevention and control of odor gas generated from kitchen waste are significant missions in research on environmental pollution. Because of the high complexity and variability of kitchen waste, the development of a suitable technique with high se...
Artificial Intelligence Algorithms Spectrum Analysis, Raman Odorants Ammonia Hydrogen Sulfide
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Optimizing the early-stage of composting process emissions - artificial intelligence primary tests.

Scientific reports Nov 8, 2024
Although composting has many advantages in treating organic waste, many problems and challenges are still associated with emissions, like NH, CO and HS, as well as greenhouse gases such as CO. One promising approach to enhancing composting conditions...
Carbon Dioxide Ammonia Greenhouse Gases Hydrogen Sulfide Composting Soil Neural Networks, Computer Bayes Theorem Artificial Intelligence Charcoal Machine Learning
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Predicting ammonia emissions and global warming potential in composting by machine learning.

Bioresource technology Aug 22, 2024
The amounts of gases emitted from composting are key to evaluating global warming potential (GWP). However, few methods can accurately predict the quantities of relevant gas emissions. In this study, three developed machine-learning models were used ...
Global Warming Composting Machine Learning Nitrogen Soil Ammonia
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Gated SPECT-Derived Myocardial Strain Estimated From Deep-Learning Image Translation Validated From N-13 Ammonia PET.

Academic radiology Aug 2, 2024
RATIONALE AND OBJECTIVES: This study investigated the use of deep learning-generated virtual positron emission tomography (PET)-like gated single-photon emission tomography (SPECT) for assessing myocardial strain, overcoming limitations of convention...
Tomography, Emission-Computed, Single-Photon Nitrogen Radioisotopes Cardiac-Gated Single-Photon Emission Computer-Assisted Tomography Positron-Emission Tomography Ammonia Humans Male Female Middle Aged Reproducibility of Results Deep Learning Aged
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