AIMC Topic: Ammonia

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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 ...
Machine Learning Composting Ammonia Global Warming Soil Nitrogen
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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...
Middle Aged Deep Learning Aged Male Tomography, Emission-Computed, Single-Photon Female Reproducibility of Results Humans Nitrogen Radioisotopes Positron-Emission Tomography Cardiac-Gated Single-Photon Emission Computer-Assisted Tomography Ammonia
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Ppb-Level Ammonia Sensor for Exhaled Breath Diagnosis Based on UV-DOAS Combined with Spectral Reconstruction Fitting Neural Network.

ACS sensors Jul 30, 2024
Ammonia (NH) in exhaled breath (EB) has been a biomarker for kidney function, and accurate measurement of NH is essential for early screening of kidney disease. In this work, we report an optical sensor that combines ultraviolet differential optical ...
Humans Neural Networks, Computer Breath Tests Exhalation Ammonia Spectrophotometry, Ultraviolet
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Fast real-time monitoring of meat freshness based on fluorescent sensing array and deep learning: From development to deployment.

Food chemistry Mar 21, 2024
A fluorescent sensor array (FSA) combined with deep learning (DL) techniques was developed for meat freshness real-time monitoring from development to deployment. The array was made up of copper metal nanoclusters (CuNCs) and fluorescent dyes, having...
Food Storage Methylamines Meat Copper Fluorescent Dyes Ammonia Swine Deep Learning Animals
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On-Demand Optimization of Colorimetric Gas Sensors Using a Knowledge-Aware Algorithm-Driven Robotic Experimental Platform.

ACS sensors Feb 8, 2024
Synthesizing the best material globally is challenging; it needs to know what and how much the best ingredient composition should be for satisfying multiple figures of merit simultaneously. Traditional one-variable-at-a-time methods are inefficient; ...
Algorithms Ammonia Robotics Robotic Surgical Procedures Colorimetry
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Identification of pollution source and prediction of water quality based on deep learning techniques.

Journal of contaminant hydrology Dec 23, 2023
Semi-arid rivers are particularly vulnerable and responsive to the impacts of industrial contamination. Prompt identification and projection of pollutant dynamics are crucial in the accidental pollution incidents, therefore required the timely inform...
China Environmental Monitoring Ammonia Water Pollutants, Chemical Water Quality Nitrogen Deep Learning Rivers Water Pollution Phosphorus
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Machine learning methods for anomaly classification in wastewater treatment plants.

Journal of environmental management Jul 18, 2023
Modern wastewater treatment plants base their biological processes on advanced control systems which ensure compliance with discharge limits and minimize energy consumption responding to information from on-line probes. The correct readings of probes...
Ammonia Water Purification Support Vector Machine Artificial Intelligence Machine Learning Neural Networks, Computer Algorithms
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Optimization of a near-zero-emission energy system for the production of desalinated water and cooling using waste energy of fuel cells.

Chemosphere May 25, 2023
In the present study, a biomass-based multi-purpose energy system that can generate power, desalinated water, hydrogen, and ammonia is presented. The gasification cycle, gas turbine, Rankine cycle, PEM electrolyzer, ammonia production cycle using the...
Cold Temperature Ammonia Artificial Intelligence Physical Phenomena Water
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Predicting ammonia nitrogen in surface water by a new attention-based deep learning hybrid model.

Environmental research Nov 3, 2022
Ammonia nitrogen (NH-N) is closely related to the occurrence of cyanobacterial blooms and destruction of surface water ecosystems, and thus it is of great significance to develop predictive models for NH-N. However, traditional models cannot fully co...
Nitrogen Ecosystem Neural Networks, Computer Ammonia Deep Learning
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Chemical looping based ammonia production-A promising pathway for production of the noncarbon fuel.

Science bulletin Sep 13, 2022
Ammonia, primarily made with Haber-Bosch process developed in 1909 and winning two Nobel prizes, is a promising noncarbon fuel for preventing global warming of 1.5 °C above pre-industrial levels. However, the undesired characteristics of the process,...
Artificial Intelligence Ammonia Nitrogen
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