Energy conservation – A novel approach of co-combustion of paint sludge and Australian lignite by principal component analysis, response surface methodology and artificial neural network modeling

Network Modeling ◽

Principal Component ◽

Neural Network Modeling ◽

Novel Approach ◽

Paint Sludge

Development of an optimized multi-biomarker panel for the detection of lung cancer based on principal component analysis and artificial neural network modeling

Expert Systems with Applications ◽

10.1016/j.eswa.2012.03.008 ◽

2012 ◽

Vol 39 (12) ◽

pp. 10851-10856 ◽

Cited By ~ 15

Author(s):

José Miguel Flores-Fernández ◽

Enrique J. Herrera-López ◽

Francisco Sánchez-Llamas ◽

Antonio Rojas-Calvillo ◽

Paula Anel Cabrera-Galeana ◽

...

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Principal Component Analysis ◽

Network Modeling ◽

Principal Component ◽

Component Analysis ◽

Neural Network Modeling ◽

Biomarker Panel

Application of response surface methodology and artificial neural network modeling to assess non-thermal plasma efficiency in simultaneous removal of BTEX from waste gases: Effect of operating parameters and prediction performance

Process Safety and Environmental Protection ◽

10.1016/j.psep.2018.08.010 ◽

2018 ◽

Vol 119 ◽

pp. 261-270 ◽

Cited By ~ 8

Author(s):

Ahmad Hosseinzadeh ◽

Ali Asghar Najafpoor ◽

Ahmad Jonidi Jafari ◽

Reza Khani Jazani ◽

Mansour Baziar ◽

...

Keyword(s):

Neural Network ◽

Network Modeling ◽

Prediction Performance ◽

Neural Network Modeling ◽

Operating Parameters ◽

Simultaneous Removal ◽

Non Thermal Plasma

Sonocatalytic Tannery Effluent Degradation –Response Surface Methodology and Particle Swarm Optimization Embedded Artificial Neural Network Modeling Approach

CLEAN - Soil Air Water ◽

10.1002/clen.202100095 ◽

2021 ◽

pp. 2100095

Author(s):

Natarajan Arun Prem Anand ◽

Ramasamy Palani

Keyword(s):

Neural Network ◽

Artificial Neural Network Modeling

Particle Swarm Optimization ◽

Response Surface ◽

Network Modeling ◽

Neural Network Modeling ◽

Tannery Effluent ◽

Swarm Optimization ◽

Reduction of edge effect using response surface methodology and artificial neural network modeling of a spur gear treated by induction with flux concentrators

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-019-03817-9 ◽

2019 ◽

Vol 104 (1-4) ◽

pp. 103-117

Author(s):

Mohamed Khalifa ◽

Noureddine Barka ◽

Jean Brousseau ◽

Philippe Bocher

Keyword(s):

Neural Network ◽

Response Surface ◽

Edge Effect ◽

Network Modeling ◽

Spur Gear ◽

Neural Network Modeling ◽

Advances in Intelligent and Soft Computing - Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 ◽

Artificial Neural Network Modeling of Cutting Force in Turning of Ti-6Al-4V Alloy and Its Comparison with Response Surface Methodology

10.1007/978-81-322-0491-6_69 ◽

2012 ◽

pp. 761-768 ◽

Cited By ~ 1

Author(s):

Vikas Upadhyay ◽

P. K. Jain ◽

N. K. Mehta

Keyword(s):

Neural Network ◽

Cutting Force ◽

Response Surface ◽

Network Modeling ◽

Neural Network Modeling ◽

Response surface methodology and artificial neural network modeling for optimization of ultrasound-assisted extraction and rapid HPTLC analysis of asiaticoside from Centella asiatica

Industrial Crops and Products ◽

10.1016/j.indcrop.2021.114320 ◽

2022 ◽

Vol 176 ◽

pp. 114320

Author(s):

Poonam Kumari ◽

Prabhjot Kaur ◽

Vijay Kumar ◽

Babita Pandey ◽

Romaan Nazir ◽

...

Keyword(s):

Neural Network ◽

Network Modeling ◽

Centella Asiatica ◽

Neural Network Modeling ◽

Ultrasound Assisted Extraction ◽

Assisted Extraction ◽

Ultrasound Assisted

Degradation of ticarcillin by subcritical water oxidation method: Application of response surface methodology and artificial neural network modeling

Journal of Environmental Science and Health Part A ◽

10.1080/10934529.2018.1471023 ◽

2018 ◽

Vol 53 (11) ◽

pp. 975-985 ◽

Cited By ~ 8

Author(s):

Erdal Yabalak

Keyword(s):

Neural Network ◽

Response Surface ◽

Water Oxidation ◽

Subcritical Water ◽

Network Modeling ◽

Neural Network Modeling ◽

Oxidation Method

Statistical and Intelligent Analysis of Viscosity behavior of MgO-MWCNT (25–75%)/10W40 Hybrid Nanolubricant Using Artificial Neural Network Modeling and Response Surface Methodology

Arabian Journal for Science and Engineering ◽

10.1007/s13369-021-06068-7 ◽

2021 ◽

Author(s):

Mohammad Hemmat Esfe ◽

Milad Goodarzi ◽

Saeed Esfandeh

Keyword(s):

Neural Network ◽

Response Surface ◽

Network Modeling ◽

Neural Network Modeling ◽

Viscosity Behavior ◽

Intelligent Analysis ◽

Enhancement of lipid accumulation in microalga Desmodesmus sp. VV2: Response Surface Methodology and artificial neural network modeling for biodiesel production

Chemosphere ◽

10.1016/j.chemosphere.2021.133477 ◽

2022 ◽

pp. 133477

Author(s):

Elamathi Vimali ◽

Arumugasamy Senthil Kumar ◽

Nagamalai Sakthi Vignesh ◽

Balasubramaniem Ashokkumar ◽

Amarajothi Dhakshinamoorthy ◽

...

Keyword(s):

Neural Network ◽

Response Surface ◽

Lipid Accumulation ◽

Network Modeling ◽

Biodiesel Production ◽

Neural Network Modeling ◽

Optimality in Microwave-Assisted Drying of Aloe Vera (Aloe barbadensis Miller) Gel using Response Surface Methodology and Artificial Neural Network Modeling

Journal of The Institution of Engineers (India) Series E ◽

10.1007/s40034-016-0083-7 ◽

2016 ◽

Vol 97 (2) ◽

pp. 143-149 ◽

Cited By ~ 2

Author(s):

Chandan Das ◽

Arijit Das ◽

Animes Kumar Golder

Keyword(s):

Neural Network ◽

Response Surface ◽

Network Modeling ◽

Aloe Vera ◽

Neural Network Modeling ◽

Aloe Barbadensis ◽

Microwave Assisted