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Modeling and simulation of co-digestion performance with artificial neural network for prediction of methane production from tea factory waste with co-substrate of spent tea waste
Modeling and simulation of co-digestion performance with artificial neural network for prediction of methane production from tea factory waste with co-substrate of spent tea waste
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Modeling and simulation of co-digestion performance with artificial neural network for prediction of methane production from tea factory waste with co-substrate of spent tea waste

Özarslan, Saliha ; Abut, Serdar ; Atelge, M.R. ; Kaya, M. ; Unalan, S.

Fuel (Guildford), 2021-12, Vol.306, p.121715, Article 121715 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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2
Combustion, performance, and emission behavior of a CI engine fueled with different biodiesels: A modelling, forecasting and experimental study
Combustion, performance, and emission behavior of a CI engine fueled with different biodiesels: A modelling, forecasting and experimental study
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Combustion, performance, and emission behavior of a CI engine fueled with different biodiesels: A modelling, forecasting and experimental study

Nema, Vivek Kumar ; Singh, Alok ; Chaurasiya, Prem Kumar ; Gogoi, Tapan Kumar ; Verma, Tikendra Nath ; Tiwari, Damodar

Fuel (Guildford), 2023-05, Vol.339, p.126976, Article 126976 [Periódico revisado por pares]

Elsevier Ltd

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3
A comprehensive and comparative review on parameter estimation methods for modelling proton exchange membrane fuel cell
A comprehensive and comparative review on parameter estimation methods for modelling proton exchange membrane fuel cell
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A comprehensive and comparative review on parameter estimation methods for modelling proton exchange membrane fuel cell

Mitra, Uliya ; Arya, Anoop ; Gupta, Sushma

Fuel (Guildford), 2023-03, Vol.335, p.127080, Article 127080 [Periódico revisado por pares]

Elsevier Ltd

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4
Prediction of petroleum viscosity from molecular weight and density
Prediction of petroleum viscosity from molecular weight and density
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Prediction of petroleum viscosity from molecular weight and density

Stratiev, Dicho ; Shishkova, Ivelina ; Dinkov, Rosen ; Nenov, Svetoslav ; Sotirov, Sotir ; Sotirova, Evdokia ; Kolev, Iliyan ; Ivanov, Vitaly ; Ribagin, Simeon ; Atanassov, Krassimir ; Stratiev, Danail ; Yordanov, Dobromir ; Nedanovski, Dimitar

Fuel (Guildford), 2023-01, Vol.331, p.125679, Article 125679 [Periódico revisado por pares]

Elsevier Ltd

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5
An artificial neural network model for the prediction of performance and emission parameters of a CI engine-operated micro-tri-generation system fueled with diesel, Karanja oil, and Karanja biodiesel
An artificial neural network model for the prediction of performance and emission parameters of a CI engine-operated micro-tri-generation system fueled with diesel, Karanja oil, and Karanja biodiesel
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An artificial neural network model for the prediction of performance and emission parameters of a CI engine-operated micro-tri-generation system fueled with diesel, Karanja oil, and Karanja biodiesel

Kishore Khatri, Kamal ; Singh, Mandeep ; Khatri, Narendra

Fuel (Guildford), 2023-02, Vol.334, p.126549, Article 126549 [Periódico revisado por pares]

Elsevier Ltd

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6
Modeling of biogas production from food, fruits and vegetables wastes using artificial neural network (ANN)
Modeling of biogas production from food, fruits and vegetables wastes using artificial neural network (ANN)
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Modeling of biogas production from food, fruits and vegetables wastes using artificial neural network (ANN)

Gonçalves Neto, João ; Vidal Ozorio, Leticia ; Campos de Abreu, Thais Cristina ; Ferreira dos Santos, Brunno ; Pradelle, Florian

Fuel (Guildford), 2021-02, Vol.285, p.119081, Article 119081 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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7
Enhanced lignin extraction and optimisation from oil palm biomass using neural network modelling
Enhanced lignin extraction and optimisation from oil palm biomass using neural network modelling
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Enhanced lignin extraction and optimisation from oil palm biomass using neural network modelling

Rashid, Tazien ; Ali Ammar Taqvi, Syed ; Sher, Farooq ; Rubab, Saddaf ; Thanabalan, Murugesan ; Bilal, Muhammad ; ul Islam, Badar

Fuel (Guildford), 2021-06, Vol.293, p.120485, Article 120485 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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8
Investigations on carbonization operating conditions of ANSYS customized kiln for charcoal production from Prosopis juliflora biomass and ANN model prediction for optimized operating conditions
Investigations on carbonization operating conditions of ANSYS customized kiln for charcoal production from Prosopis juliflora biomass and ANN model prediction for optimized operating conditions
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Investigations on carbonization operating conditions of ANSYS customized kiln for charcoal production from Prosopis juliflora biomass and ANN model prediction for optimized operating conditions

Ashok Kumar, V. ; Muninathan, K. ; Arivazhagan, S. ; Monish, N. ; Venkata Ramanan, M. ; Seshagiri Rao, Vaddi ; Baskar, Gurunathan

Fuel (Guildford), 2023-10, Vol.350, p.128838, Article 128838 [Periódico revisado por pares]

Elsevier Ltd

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9
Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust
Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust
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Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust

Arshad, Ushtar ; Taqvi, Syed Ali Ammar ; Buang, Azizul

Fuel (Guildford), 2022-09, Vol.324, p.124569, Article 124569 [Periódico revisado por pares]

Elsevier Ltd

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10
Thermal conversion of waste furniture board under pyrolytic conditions: Kinetic analysis and product characterization
Thermal conversion of waste furniture board under pyrolytic conditions: Kinetic analysis and product characterization
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Thermal conversion of waste furniture board under pyrolytic conditions: Kinetic analysis and product characterization

Tahir, Mudassir Hussain ; Ali, Imtiaz ; Kaya, Esma Yeliz ; Ceylan, Selim

Fuel (Guildford), 2023-09, Vol.348, p.128638, Article 128638 [Periódico revisado por pares]

Elsevier Ltd

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