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Artificial Neural Network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings
Artificial Neural Network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings
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Artificial Neural Network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings

Shivakumar ; Srinivasa Pai, P. ; Shrinivasa Rao, B.R.

Applied energy, 2011-07, Vol.88 (7), p.2344-2354 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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2
Suspended sediment load prediction of river systems: An artificial neural network approach
Suspended sediment load prediction of river systems: An artificial neural network approach
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Suspended sediment load prediction of river systems: An artificial neural network approach

Melesse, A.M. ; Ahmad, S. ; McClain, M.E. ; Wang, X. ; Lim, Y.H.

Agricultural water management, 2011-03, Vol.98 (5), p.855-866 [Peer Reviewed Journal]

Amsterdam: Elsevier B.V

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3
Improved Forecasting of Extreme Monthly Reservoir Inflow Using an Analogue-Based Forecasting Method: A Case Study of the Sirikit Dam in Thailand
Improved Forecasting of Extreme Monthly Reservoir Inflow Using an Analogue-Based Forecasting Method: A Case Study of the Sirikit Dam in Thailand
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Improved Forecasting of Extreme Monthly Reservoir Inflow Using an Analogue-Based Forecasting Method: A Case Study of the Sirikit Dam in Thailand

Amnatsan, Somchit ; Yoshikawa, Sayaka ; Kanae, Shinjiro

Water (Basel), 2018-11, Vol.10 (11), p.1614 [Peer Reviewed Journal]

Basel: MDPI AG

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4
Using artificial neural networks to predict the 28-day compressive strength of roller-compacted concrete pavements containing RAP aggregates
Using artificial neural networks to predict the 28-day compressive strength of roller-compacted concrete pavements containing RAP aggregates
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Using artificial neural networks to predict the 28-day compressive strength of roller-compacted concrete pavements containing RAP aggregates

Debbarma, Solomon ; Ransinchung R.N., G. D.

Road materials and pavement design, 2022-01, Vol.23 (1), p.149-167 [Peer Reviewed Journal]

Abingdon: Taylor & Francis

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5
Estimation of solar radiation over Turkey using artificial neural network and satellite data
Estimation of solar radiation over Turkey using artificial neural network and satellite data
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Estimation of solar radiation over Turkey using artificial neural network and satellite data

Şenkal, Ozan ; Kuleli, Tuncay

Applied energy, 2009-08, Vol.86 (7), p.1222-1228 [Peer Reviewed Journal]

Kidlington: Elsevier Ltd

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6
Optimization of Maceration Conditions for Improving the Extraction of Phenolic Compounds and Antioxidant Effects of Momordica Charantia L. Leaves Through Response Surface Methodology (RSM) and Artificial Neural Networks (ANNs)
Optimization of Maceration Conditions for Improving the Extraction of Phenolic Compounds and Antioxidant Effects of Momordica Charantia L. Leaves Through Response Surface Methodology (RSM) and Artificial Neural Networks (ANNs)
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Optimization of Maceration Conditions for Improving the Extraction of Phenolic Compounds and Antioxidant Effects of Momordica Charantia L. Leaves Through Response Surface Methodology (RSM) and Artificial Neural Networks (ANNs)

Uysal, Sengul ; Cvetanović, Aleksandra ; Zengin, Gokhan ; Zeković, Zoran ; Mahomoodally, Mohamad Fawzi ; Bera, Oskar

Analytical letters, 2019-09, Vol.52 (13), p.2150-2163 [Peer Reviewed Journal]

Abingdon: Taylor & Francis

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7
The Influence of Xanthan and Balangu Seed Gums Coats on the Kinetics of Infrared Drying of Apricot Slices: GA-ANN and ANFIS Modeling
The Influence of Xanthan and Balangu Seed Gums Coats on the Kinetics of Infrared Drying of Apricot Slices: GA-ANN and ANFIS Modeling
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The Influence of Xanthan and Balangu Seed Gums Coats on the Kinetics of Infrared Drying of Apricot Slices: GA-ANN and ANFIS Modeling

Satorabi, Maryam ; Salehi, Fakhreddin ; Rasouli, Majid

International journal of fruit science, 2021-01, Vol.21 (1), p.468-480 [Peer Reviewed Journal]

Abingdon: Taylor & Francis

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8
The Predicted Model of the Sensory Quality of Refrigerated Tilapia Skin Established Based on Characteristic Near-Infrared Spectrum
The Predicted Model of the Sensory Quality of Refrigerated Tilapia Skin Established Based on Characteristic Near-Infrared Spectrum
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The Predicted Model of the Sensory Quality of Refrigerated Tilapia Skin Established Based on Characteristic Near-Infrared Spectrum

Ma, Huawei ; Lv, Min ; Ruan, Zhide ; Latif, Fariha ; Pan, Chuanyan ; Luo, Xu ; Yang, Qiong ; Qi, Xiaobao ; Zhong, Yuan ; Guo, Ailing

Journal of aquatic food product technology, 2023-01, Vol.32 (1), p.59-68 [Peer Reviewed Journal]

Philadelphia: Taylor & Francis

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9
AMR-Diag: Neural network based genotype-to-phenotype prediction of resistance towards β-lactams in Escherichia coli and Klebsiella pneumoniae
AMR-Diag: Neural network based genotype-to-phenotype prediction of resistance towards β-lactams in Escherichia coli and Klebsiella pneumoniae
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AMR-Diag: Neural network based genotype-to-phenotype prediction of resistance towards β-lactams in Escherichia coli and Klebsiella pneumoniae

Avershina, Ekaterina ; Sharma, Priyanka ; Taxt, Arne M. ; Singh, Harpreet ; Frye, Stephan A. ; Paul, Kolin ; Kapil, Arti ; Naseer, Umaer ; Kaur, Punit ; Ahmad, Rafi

Computational and structural biotechnology journal, 2021-01, Vol.19, p.1896-1906 [Peer Reviewed Journal]

Netherlands: Elsevier B.V

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10
Modelling the Vertical Distribution of Phytoplankton Biomass in the Mediterranean Sea from Satellite Data: A Neural Network Approach
Modelling the Vertical Distribution of Phytoplankton Biomass in the Mediterranean Sea from Satellite Data: A Neural Network Approach
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Modelling the Vertical Distribution of Phytoplankton Biomass in the Mediterranean Sea from Satellite Data: A Neural Network Approach

Sammartino, Michela ; Marullo, Salvatore ; Santoleri, Rosalia ; Scardi, Michele

Remote sensing (Basel, Switzerland), 2018-10, Vol.10 (10), p.1666 [Peer Reviewed Journal]

Basel: MDPI AG

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