Productivity prediction of a spherical distiller using a machine learning model and triangulation topology aggregation optimizer-Reference-Cited by-同舟云学术

Productivity prediction of a spherical distiller using a machine learning model and triangulation topology aggregation optimizer

Published:2024-09 Issue: Volume:585 Page:117744
ISSN:0011-9164
Container-title:Desalination
language:en
Short-container-title:Desalination

Author:

Elaziz Mohamed Abd,Essa Fadl A.,Khalil Hassan A.,El-Sebaey Mahmoud S.,Khedr Mahmoud,Elsheikh Ammar^ORCID

Publisher

Elsevier BV

Reference116 articles.

1. Improved surface temperature of absorber plate using metallic titanium particles for solar still application;Fayaz;Sustain. Energy Technol. Assessments.,2022

2. Increasing the productivity of modified cords pyramid solar still using electric heater and various wick materials;Abdullah;Process Saf. Environ. Prot.,2022

3. Experimental study on performance of single slope solar still integrated with sand troughs;Nagaraju;Sustain. Energy Technol. Assessments.,2022

4. Experimental investigation of double slope solar still integrated with PCM nanoadditives microencapsulated thermal energy storage;Afolabi;Desalination,2023

5. Experimental study on double effect solar distiller using bioactivity nanoparticles with analysis of thermo-economic and enviro-economical;Kumar;Case Stud. Therm. Eng.,2023

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