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Novel Formulation of Adaptive MPC as EKF Using ANN Model: Multiproduct Semibatch Polymerization Reactor Case Study
Novel Formulation of Adaptive MPC as EKF Using ANN Model: Multiproduct Semibatch Polymerization Reactor Case Study
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Novel Formulation of Adaptive MPC as EKF Using ANN Model: Multiproduct Semibatch Polymerization Reactor Case Study

Kamesh, Reddi ; Rani, Kalipatnapu Yamuna

IEEE transaction on neural networks and learning systems, 2017-12, Vol.28 (12), p.3061-3073

United States: IEEE

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The impact of the ANN’s choice on PV systems diagnosis quality
The impact of the ANN’s choice on PV systems diagnosis quality
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The impact of the ANN’s choice on PV systems diagnosis quality

Kara Mostefa Khelil, Chérifa ; Amrouche, Badia ; Kara, Kamel ; Chouder, Aissa

Energy conversion and management, 2021-07, Vol.240, p.114278, Article 114278 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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3
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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A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks
A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks
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A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks

Chine, W. ; Mellit, A. ; Lughi, V. ; Malek, A. ; Sulligoi, G. ; Massi Pavan, A.

Renewable energy, 2016-05, Vol.90, p.501-512 [Periódico revisado por pares]

Elsevier Ltd

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5
Effects on thermophysical properties of carbon based nanofluids: Experimental data, modelling using regression, ANFIS and ANN
Effects on thermophysical properties of carbon based nanofluids: Experimental data, modelling using regression, ANFIS and ANN
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Effects on thermophysical properties of carbon based nanofluids: Experimental data, modelling using regression, ANFIS and ANN

Alrashed, Abdullah A.A.A. ; Gharibdousti, Maryam Soltanpour ; Goodarzi, Marjan ; de Oliveira, Letícia Raquel ; Safaei, Mohammad Reza ; Bandarra Filho, Enio Pedone

International journal of heat and mass transfer, 2018-10, Vol.125, p.920-932 [Periódico revisado por pares]

Oxford: 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
Scattering Model-based Oil Slick Related Parameters Estimation from Radar Remote Sensing: Feasibility and Simulation Results
Scattering Model-based Oil Slick Related Parameters Estimation from Radar Remote Sensing: Feasibility and Simulation Results
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Scattering Model-based Oil Slick Related Parameters Estimation from Radar Remote Sensing: Feasibility and Simulation Results

Meng, Tingyu ; Nunziata, Ferdinando ; Yang, Xiaofeng ; Buono, Andrea ; Chen, Kun-Shan ; Migliaccio, Maurizio

IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1-1 [Periódico revisado por pares]

New York: IEEE

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8
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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9
A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm
A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm
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A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm

Ibrahim, Ibrahim Anwar ; Khatib, Tamer

Energy conversion and management, 2017-04, Vol.138, p.413-425 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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10
An artificial neural network model to predict mini/micro-channels saturated flow boiling heat transfer coefficient based on universal consolidated data
An artificial neural network model to predict mini/micro-channels saturated flow boiling heat transfer coefficient based on universal consolidated data
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An artificial neural network model to predict mini/micro-channels saturated flow boiling heat transfer coefficient based on universal consolidated data

Qiu, Yue ; Garg, Deepak ; Zhou, Liwei ; Kharangate, Chirag R. ; Kim, Sung-Min ; Mudawar, Issam

International journal of heat and mass transfer, 2020-03, Vol.149, p.119211, Article 119211 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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