AIMC Topic: Charcoal

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Prediction model for biochar energy potential based on biomass properties and pyrolysis conditions derived from rough set machine learning.

Environmental technology Mar 29, 2023
Biochar is a high-carbon-content organic compound that has potential applications in the field of energy storage and conversion. It can be produced from a variety of biomass feedstocks such as plant-based, animal-based, and municipal waste at differe...
Charcoal Pyrolysis Biomass Machine Learning
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Comparative study of machine learning methods integrated with genetic algorithm and particle swarm optimization for bio-char yield prediction.

Bioresource technology Sep 22, 2022
In this study, Machine learning (ML) models integrated with genetic algorithm (GA) and particle swarm optimization (PSO) have been developed to predict, evaluate, and analyze biochar yield using biomass properties and process operating conditions. Co...
Charcoal Pyrolysis Algorithms Machine Learning
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Machine learning analysis and prediction of N, NO, and O adsorption on activated carbon and carbon molecular sieve.

Environmental science and pollution research international Aug 13, 2022
This research focuses on predicting the adsorbed amount of N, O, and NO on carbon molecular sieve and activated carbon using the artificial neural network (ANN) approach. Experimental isotherm data (data set 1242) on adsorbent type, gas type, tempera...
Bayes Theorem Algorithms Charcoal Adsorption Neural Networks, Computer
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Modeling of Remora Optimization with Deep Learning Enabled Heavy Metal Sorption Efficiency Prediction onto Biochar.

Chemosphere May 23, 2022
Environmental distresses linked to heavy metal (HM) impurity in the water received significant attention among research communities. Recently, advancements in industrial sectors like paper industries, mining, non-ferrous metallurgy, electroplating, m...
Wastewater Deep Learning Charcoal Metals, Heavy Adsorption Water Pollutants, Chemical
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Artificial neural networks for the prediction of biochar yield: A comparative study of metaheuristic algorithms.

Bioresource technology Apr 22, 2022
In this study, an integrated framework of artificial neural networks (ANNs) and metaheuristic algorithms have been developed for the prediction of biochar yield using biomass characteristics and pyrolysis process conditions. Comparative analysis of s...
Pyrolysis Neural Networks, Computer Charcoal Algorithms
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A novel artificial intelligent model for predicting water treatment efficiency of various biochar systems based on artificial neural network and queuing search algorithm.

Chemosphere Sep 20, 2021
This study aims at providing a robust artificial intelligent model for predicting the efficiency of heavy metal removal from aqueous solutions of biochar systems with high accuracy and reliability. Not only is it environmentally significant, but it i...
Adsorption Neural Networks, Computer Charcoal Reproducibility of Results Water Purification Humans Algorithms
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Artificial intelligence (AI) applications in adsorption of heavy metals using modified biochar.

The Science of the total environment Aug 18, 2021
The process of removal of heavy metals is important due to their toxic effects on living organisms and undesirable anthropogenic effects. Conventional methods possess many irreconcilable disadvantages pertaining to cost and efficiency. As a result, t...
Artificial Intelligence Charcoal Adsorption Metals, Heavy
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Predicting the sorption efficiency of heavy metal based on the biochar characteristics, metal sources, and environmental conditions using various novel hybrid machine learning models.

Chemosphere Mar 9, 2021
Heavy metals in water and wastewater are taken into account as one of the most hazardous environmental issues that significantly impact human health. The use of biochar systems with different materials helped significantly remove heavy metals in the ...
Artificial Intelligence Charcoal Reproducibility of Results Machine Learning Humans Metals, Heavy
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Artificial neural network modelling for biodecolorization of Basic Violet 03 from aqueous solution by biochar derived from agro-bio waste of groundnut hull: Kinetics and thermodynamics.

Chemosphere Mar 6, 2021
In this study, Levenberg Marquardt back propagation algorithm was used to train the Artificial Neural Network (ANN) and to predict the adsorptive removal of cationic dye Basic Violet 03 (BV03) by biochar derived from biowaste of groundnut hull. The e...
Hydrogen-Ion Concentration Thermodynamics Charcoal Kinetics Neural Networks, Computer
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Graphitic carbon nitride/biochar composite synthesized by a facile ball-milling method for the adsorption and photocatalytic degradation of enrofloxacin.

Journal of environmental sciences (China) Nov 6, 2020
In order to enhance the removal performance of graphitic carbon nitride (g-CN) on organic pollutant, a simultaneous process of adsorption and photocatalysis was achieved via the compounding of biochar and g-CN. In this study, g-CN was obtained by a c...
Graphite Enrofloxacin Nitrogen Compounds Adsorption Light Charcoal
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