Author:
Rajakarunakaran Surya Abisek,Lourdu Arun Raja,Muthusamy Suresh,Panchal Hitesh,Jawad Alrubaie Ali,Musa Jaber Mustafa,Ali Mohammed Hasan,Tlili Iskander,Maseleno Andino,Majdi Ali,Ali Shahul Hameed Masthan
Subject
General Engineering,Software
Reference31 articles.
1. Experimental investigation and develop ANNs by introducing the suitable architectures and training algorithms supported by sensitivity analysis: measure thermal conductivity and viscosity for liquid paraffin based nanofluid containing Al2O3 nanoparticles;Shahsavar;Elesvier,2019
2. A novel comprehensive experimental study concerned synthesizes and prepare liquid paraffin-Fe3O4 mixture to develop models for both thermal conductivity & viscosity: a new approach of GMDH type of neural network;Shahsavar;Int J Heat Mass Transf,2018
3. Low-cost bilayered structure for improving the performance of solar stills: performance/cost analysis and water yield prediction using machine learning;Elsheikh;Sustain Energy Technol Assess,2022
4. Prediction of self-compacting concrete strength using artificial neural networks;Asteris;Eur J Environ Civ Eng,2016
5. A comparison between mechanical properties of self-compacting concrete and the corresponding properties of normal concrete;Persson;Cem Concr Res,2001
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