AIMC Topic: Nitrogen

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Effluent composition prediction of a two-stage anaerobic digestion process: machine learning and stoichiometry techniques.

Environmental science and pollution research international May 16, 2018
Computational self-adapting methods (Support Vector Machines, SVM) are compared with an analytical method in effluent composition prediction of a two-stage anaerobic digestion (AD) process. Experimental data for the AD of poultry manure were used. Th...
Animals Poultry Waste Disposal, Fluid Neural Networks, Computer Machine Learning Manure Ammonia Biological Oxygen Demand Analysis Proteins Anaerobiosis Nitrogen
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Prediction of soil urea conversion and quantification of the importance degrees of influencing factors through a new combinatorial model based on cluster method and artificial neural network.

Chemosphere Feb 6, 2018
Quantitative prediction of soil urea conversion is crucial in determining the mechanism of nitrogen transformation and understanding the dynamics of soil nutrients. This study aimed to establish a combinatorial prediction model (MCA-F-ANN) for soil u...
Neural Networks, Computer Electric Conductivity Temperature Soil Cluster Analysis Nitrogen Urea
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Optimization of culture conditions for gamma-aminobutyric acid production in fermented adzuki bean milk.

Journal of food and drug analysis Feb 13, 2017
γ-Aminobutyric acid (GABA), a nonprotein amino acid, is widely distributed in nature and fulfills several physiological functions. In this study, various lactic acid strains commonly used to produce fermented milk products were inoculated into adzuki...
Hydrogen-Ion Concentration Food Microbiology Vigna Kinetics Culture Media gamma-Aminobutyric Acid Fermentation Nitrogen Analysis of Variance Carbon
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Analyzing the performance of fluorescence parameters in the monitoring of leaf nitrogen content of paddy rice.

Scientific reports Jun 28, 2016
Leaf nitrogen content (LNC) is a significant factor which can be utilized to monitor the status of paddy rice and it requires a reliable approach for fast and precise quantification. This investigation aims to quantitatively analyze the correlation b...
Support Vector Machine Decision Making Plant Leaves Fluorescence Agriculture Lasers Oryza Farmers Nitrogen Fertilizers Spectrum Analysis
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Systematic design of membership functions for fuzzy-logic control: A case study on one-stage partial nitritation/anammox treatment systems.

Water research Jun 25, 2016
A methodology is developed to systematically design the membership functions of fuzzy-logic controllers for multivariable systems. The methodology consists of a systematic derivation of the critical points of the membership functions as a function of...
Fuzzy Logic Nitrogen
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Gross parameters prediction of a granular-attached biomass reactor by means of multi-objective genetic-designed artificial neural networks: touristic pressure management case.

Environmental science and pollution research international Nov 17, 2015
The Artificial Neural Networks by Multi-objective Genetic Algorithms (ANN-MOGA) model has been applied to gross parameters data of a Sequencing Batch Biofilter Granular Reactor (SBBGR) with the aim of providing an effective tool for predicting the fl...
Biological Oxygen Demand Analysis Travel Phosphorus Sewage Waste Management Wastewater Water Purification Biomass Waste Disposal, Fluid Bioreactors Nitrogen Neural Networks, Computer
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Measurement and ANN prediction of pH-dependent solubility of nitrogen-heterocyclic compounds.

Chemosphere May 15, 2015
Based on the solubility of 25 nitrogen-heterocyclic compounds (NHCs) measured by saturation shake-flask method, artificial neural network (ANN) was employed to the study of the quantitative relationship between the structure and pH-dependent solubili...
Neural Networks, Computer Water Models, Theoretical Environmental Pollutants Nitrogen Heterocyclic Compounds Hydrogen-Ion Concentration Solubility Quantitative Structure-Activity Relationship
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Prediction of effluent concentration in a wastewater treatment plant using machine learning models.

Journal of environmental sciences (China) Apr 20, 2015
Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentratio...
Water Quality Neural Networks, Computer Wastewater Sensitivity and Specificity Support Vector Machine Water Purification Nitrogen Prognosis Republic of Korea
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Prediction and quantifying parameter importance in simultaneous anaerobic sulfide and nitrate removal process using artificial neural network.

Environmental science and pollution research international Dec 20, 2014
The present investigation deals with the prediction of the performance of simultaneous anaerobic sulfide and nitrate removal in an upflow anaerobic sludge bed (UASB) reactor through an artificial neural network (ANN). Influent sulfide concentration, ...
Sewage Nitrogen Oxides Sulfides Nitrates Waste Disposal, Fluid Evaluation Studies as Topic Anaerobiosis Bioreactors Nitrogen Sulfates Neural Networks, Computer Algorithms
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Portable and intelligent ratio fluorometry and colorimetry for dual-mode detection of dopamine based on B, N-codoped carbon dots and machine learning.

Talanta Nov 1, 2025
A dual-mode approach was developed for dopamine (DA) assay based on boron (B) and nitrogen (N) co-doped carbon dots (B, N-CDs). This platform enabled highly sensitive and specific detection of DA in biological samples through collaborative ratio fluo...
Quantum Dots Boron Machine Learning Limit of Detection Humans Nitrogen Fluorescent Dyes Colorimetry Fluorometry Carbon Dopamine
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