Development of artificial neural networks for performance prediction of a heat pump assisted humidification-dehumidification desalination system
In this study, the application of data-driven methods for performance prediction of a heat
pump assisted humidification-dehumidification (HDH-HP) desalination system was …
pump assisted humidification-dehumidification (HDH-HP) desalination system was …
A comparative study of various machine learning methods for performance prediction of an evaporative condenser
Evaporative condensers are regarded as highly-efficient and eco-friendly heat exchangers
in refrigeration systems. Data-driven methods can play a key role in performance prediction …
in refrigeration systems. Data-driven methods can play a key role in performance prediction …
Bayesian inference using an adaptive neuro-fuzzy inference system
For most Bayesian inference problems that are of interest, solving for the model parameter
posterior probability distribution remains to be the main challenge. A typical technique …
posterior probability distribution remains to be the main challenge. A typical technique …
Utilization of the RBF network to model the nucleate pool boiling heat transfer properties of refrigerant-oil mixtures with nanoparticles
A Zendehboudi, A Tatar - Journal of Molecular Liquids, 2017 - Elsevier
The nucleate pool boiling heat transfer of refrigerant-oil mixtures with nanoparticles (h) and
the impact of the presence of nanoparticles on the heat transfer coefficient (F ht) under …
the impact of the presence of nanoparticles on the heat transfer coefficient (F ht) under …
Model development for estimating calcium sulfate dihydrate, hemihydrate, and anhydrite solubilities in multicomponent acid and salt containing aqueous solutions …
MM Zarei, M Hosseini, AH Mohammadi… - Journal of Molecular …, 2021 - Elsevier
Thermodynamic solubility of calcium sulfate in multicomponent electrolyte aqueous
solutions is of significant importance in many disciplines in science and engineering. A …
solutions is of significant importance in many disciplines in science and engineering. A …