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Predictive modeling of biomass gasification with machine learning-based regression methods

Energy (Oxford), 2020-01, Vol.191, p.116541, Article 116541

2020

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Data-driven identification and model predictive control of biomass gasification process for maximum energy production

Energy (Oxford), 2020-03, Vol.195, p.117037, Article 117037

2020

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An intelligent based prediction of microbial behaviour in beef

Food control, 2023-06, Vol.148, p.109665, Article 109665

2023

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Classification of solid fuels with machine learning

Fuel (Guildford), 2020-04, Vol.266, p.117066, Article 117066

2020

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Exact analysis of production lines with Coxian-2-distributed processing times and parallel machines

Computers & industrial engineering, 2021-09, Vol.159, p.107471, Article 107471

2021

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Critical Review of Emulsion Stability and Characterization Techniques in Oil Processing

Journal of energy resources technology, 2022-04, Vol.144 (4)

2022

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Development of a Prediction Software for the Growth Kinetics of Pseudomonas spp. in Culture Media using Various Primary Models

Applied food biotechnology, 2023-01, Vol.10 (1), p.1-8

2023

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Application of a machine learning-based regression method to describe Listeria monocytogenes behaviour in milk

Journal of food and nutrition research, 2022-01, Vol.61 (4), p.380

2022

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Investigation of Structural, Morphological, and Optical Properties of Novel Electrospun Mg-Doped TiO2 Nanofibers as an Electron Transport Material for Perovskite Solar Cells

Nanomaterials (Basel, Switzerland), 2023-08, Vol.13 (15), p.2255

2023

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FOOD RECOGNITION AND NUTRITION FACTS DETERMINATION WITH DEEP CONVOLUTION NEURAL NETWORK MODELS

Carpathian Journal of Food Science and Technology, 2023-01, p.1-10

2023

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Development of a New Modelling Approach and Performance Evaluation of Meta-heuristic Optimization Algorithms for the Prediction of Kinetic Growth Parameters for Pseudomonas spp. in Fish

Journal of pure & applied microbiology : an international research journal of microbiology, 2022-06, Vol.16 (2), p.1263-1273

2022

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An artificial intelligence based approach to predicting syngas composition for downdraft biomass gasification

Energy (Oxford), 2018-12, Vol.165, p.895-901

2018

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Comprehensive Study of Steam Reforming of Methane in Membrane Reactors

Journal of energy resources technology, 2016-09, Vol.138 (5)

2016

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Experimental study on hydrogen-rich syngas production via gasification of pine cone particles and wood pellets in a fixed bed downdraft gasifier

International journal of hydrogen energy, 2019-06, Vol.44 (32), p.17389-17396

2019

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Computational fluid dynamics study of hydrogen production using concentrated solar radiation as a heat source

Energy conversion and management, 2023-01, Vol.276, p.116552, Article 116552

2023

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Numerical and experimental investigation of hydrogen-rich syngas production via biomass gasification

International journal of hydrogen energy, 2018, Vol.43 (2), p.1105-1115

2018

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Kinetic modeling and simulation of throated downdraft gasifier

Fuel processing technology, 2016-04, Vol.144, p.145-154

2016

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Simulation and control of serviceable stratospheric balloons traversing a region via transport phenomena and PID

Aerospace science and technology, 2016-06, Vol.53, p.232-240

2016

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A comparison of machine learning algorithms for estimation of higher heating values of biomass and fossil fuels from ultimate analysis

Fuel (Guildford), 2022-07, Vol.320, p.123971, Article 123971

2022

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Development of a semi-empirical equilibrium model for downdraft gasification systems

Energy (Oxford), 2017-07, Vol.130, p.86-98

2017

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Higher heating value estimation of wastes and fuels from ultimate and proximate analysis by using artificial neural networks

Waste management (Elmsford), 2024-07, Vol.185, p.33-42

2024

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Modeling of biomass-based hydrogen production via catalytic sorption-enhanced reformer integrated with a gasifier

Journal of the Indian Chemical Society, 2023-01, Vol.100 (1), p.100854, Article 100854

2023

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Comparison of the different artificial neural networks in prediction of biomass gasification products

International journal of energy research, 2019-09, Vol.43 (11), p.5992-6003

2019

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Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach

Food science and technology international, 2023-04, p.10820132231170286-10820132231170286

2023

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Optimizing waste-to-energy conversion: Unveiling the potential of unsupervised clustering through the new HOM classification system

Sustainable energy technologies and assessments, 2024-05, Vol.65, p.103796, Article 103796

2024

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Predictive modeling of biomass gasification with machine learning-based regression methods

Data-driven identification and model predictive control of biomass gasification process for maximum energy production

An intelligent based prediction of microbial behaviour in beef

Classification of solid fuels with machine learning

Exact analysis of production lines with Coxian-2-distributed processing times and parallel machines

Critical Review of Emulsion Stability and Characterization Techniques in Oil Processing

Development of a Prediction Software for the Growth Kinetics of Pseudomonas spp. in Culture Media using Various Primary Models

Application of a machine learning-based regression method to describe Listeria monocytogenes behaviour in milk

Investigation of Structural, Morphological, and Optical Properties of Novel Electrospun Mg-Doped TiO2 Nanofibers as an Electron Transport Material for Perovskite Solar Cells

FOOD RECOGNITION AND NUTRITION FACTS DETERMINATION WITH DEEP CONVOLUTION NEURAL NETWORK MODELS

Development of a New Modelling Approach and Performance Evaluation of Meta-heuristic Optimization Algorithms for the Prediction of Kinetic Growth Parameters for Pseudomonas spp. in Fish

An artificial intelligence based approach to predicting syngas composition for downdraft biomass gasification

Comprehensive Study of Steam Reforming of Methane in Membrane Reactors

Experimental study on hydrogen-rich syngas production via gasification of pine cone particles and wood pellets in a fixed bed downdraft gasifier

Computational fluid dynamics study of hydrogen production using concentrated solar radiation as a heat source

Numerical and experimental investigation of hydrogen-rich syngas production via biomass gasification

Kinetic modeling and simulation of throated downdraft gasifier

Simulation and control of serviceable stratospheric balloons traversing a region via transport phenomena and PID

A comparison of machine learning algorithms for estimation of higher heating values of biomass and fossil fuels from ultimate analysis

Development of a semi-empirical equilibrium model for downdraft gasification systems

Higher heating value estimation of wastes and fuels from ultimate and proximate analysis by using artificial neural networks

Modeling of biomass-based hydrogen production via catalytic sorption-enhanced reformer integrated with a gasifier

Comparison of the different artificial neural networks in prediction of biomass gasification products

Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach

Optimizing waste-to-energy conversion: Unveiling the potential of unsupervised clustering through the new HOM classification system

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