Pooria Behnam

Performance enhancement of a solar-driven DCMD system using an air-cooled condenser and oil: Experimental and machine learning investigations

Harnessing the power of neural networks for the investigation of solar-driven membrane distillation systems under the dynamic operation mode

Performance analysis of a solar-driven integrated direct-contact membrane distillation and humidification–dehumidification system

A review on state-of-the-art applications of data-driven methods in desalination systems

Development of machine learning and stepwise mechanistic models for performance prediction of direct contact membrane distillation module-A comparative study

Thermoeconomic analysis and multi-objective optimization of a novel trigeneration system consisting of kalina and humidification-dehumidification desalination cycles

Development of artificial neural networks for performance prediction of a heat pump assisted humidification-dehumidification desalination system

A comparative study of various machine learning methods for performance prediction of an evaporative condenser