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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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2
Progress of artificial neural networks applications in hydrogen production
Progress of artificial neural networks applications in hydrogen production
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Progress of artificial neural networks applications in hydrogen production

Abdelkareem, Mohammad A. ; Soudan, Bassel ; Mahmoud, Mohamed S. ; Sayed, Enas T. ; AlMallahi, Maryam N. ; Inayat, Abrar ; Radi, Muaz Al ; Olabi, Abdul G.

Chemical engineering research & design, 2022-06, Vol.182, p.66-86 [Periódico revisado por pares]

Rugby: 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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4
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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5
A new approach for estimation of rock brittleness based on non-destructive tests
A new approach for estimation of rock brittleness based on non-destructive tests
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A new approach for estimation of rock brittleness based on non-destructive tests

Koopialipoor, Mohammadreza ; Noorbakhsh, Amin ; Noroozi Ghaleini, Ebrahim ; Jahed Armaghani, Danial ; Yagiz, Saffet

Nondestructive testing and evaluation, 2019-10, Vol.34 (4), p.354-375 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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6
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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7
Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis
Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis
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Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis

Khatir, S. ; Boutchicha, D. ; Le Thanh, C. ; Tran-Ngoc, H. ; Nguyen, T.N. ; Abdel-Wahab, M.

Theoretical and applied fracture mechanics, 2020-06, Vol.107, p.102554, Article 102554 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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8
BP-ANN based bond strength prediction for FRP reinforced concrete at high temperature
BP-ANN based bond strength prediction for FRP reinforced concrete at high temperature
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BP-ANN based bond strength prediction for FRP reinforced concrete at high temperature

Huang, Lihua ; Chen, Jian ; Tan, Xinyi

Engineering structures, 2022-04, Vol.257, p.114026, Article 114026 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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9
An efficient artificial neural network for damage detection in bridges and beam-like structures by improving training parameters using cuckoo search algorithm
An efficient artificial neural network for damage detection in bridges and beam-like structures by improving training parameters using cuckoo search algorithm
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An efficient artificial neural network for damage detection in bridges and beam-like structures by improving training parameters using cuckoo search algorithm

Tran-Ngoc, H. ; Khatir, S. ; De Roeck, G. ; Bui-Tien, T. ; Abdel Wahab, M.

Engineering structures, 2019-11, Vol.199, p.109637, Article 109637 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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10
Bed expansion of binary mixtures of irregular particles in solid–liquid fluidization: Experimental, empirical correlation, and GA‐ANN modelling
Bed expansion of binary mixtures of irregular particles in solid–liquid fluidization: Experimental, empirical correlation, and GA‐ANN modelling
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Bed expansion of binary mixtures of irregular particles in solid–liquid fluidization: Experimental, empirical correlation, and GA‐ANN modelling

Let, Sudipta ; Bar, Nirjhar ; Basu, Ranjan Kumar ; Das, Sudip Kumar

Canadian journal of chemical engineering, 2023-03, Vol.101 (3), p.1713-1721 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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