Application of artificial neural network (ANN-MLP) for the prediction of fouling resistance in heat exchanger to MgO-water and CuO-water nanofluids
A Benyekhlef, B Mohammedi, D Hassani… - Water Science and …, 2021 - iwaponline.com
In this work, an artificial neural network (ANN) model was developed with the aim of
predicting fouling resistance for heat exchanger, the network was designed and trained by …
predicting fouling resistance for heat exchanger, the network was designed and trained by …
Stacked neural networks for predicting the membranes performance by treating the pharmaceutical active compounds
Y Ammi, L Khaouane, S Hanini - Neural Computing and Applications, 2021 - Springer
The removal of pharmaceutical actives compounds (PhACs) by nanofiltration (NF) and
reverse osmosis (RO) of paramount importance in membrane separation processes …
reverse osmosis (RO) of paramount importance in membrane separation processes …
Assessing the efficacy of improved learning in hourly global irradiance prediction
Increasing global energy consumption has become an urgent problem as natural energy
sources such as oil, gas, and uranium are rapidly running out. Research into renewable …
sources such as oil, gas, and uranium are rapidly running out. Research into renewable …
An artificial intelligence approach for modeling the rejection of anti-inflammatory drugs by nanofiltration and reverse osmosis membranes using kernel support vector …
Y Ammi, S Hanini, L Khaouane - Comptes …, 2021 - comptes-rendus.academie-sciences …
Résumé The rejection of anti-inflammatory drugs by membranes has shown paramount
importance in separation membrane processes such as nanofiltration and reverse osmosis …
importance in separation membrane processes such as nanofiltration and reverse osmosis …
[PDF][PDF] Support Vector Machines for Evaluating the Impact of the Forward Osmosis Membrane Characteristics on the Rejection of the Organic Molecules.
The forward osmosis (FO) process is currently being studied more despite other energy-
consuming processes. In addition, several works show the performance of FO membranes …
consuming processes. In addition, several works show the performance of FO membranes …
[PDF][PDF] The modeling of the organic molecules rejection using the bootstrap aggregated neural networks for the evaluation of the forward osmosis process performance
The forward osmosis process is currently more studied to be a replacement for another
consuming-energy process, for this, many works show up the rejection of different …
consuming-energy process, for this, many works show up the rejection of different …
A Smart Model for the Prediction of Heat Transfer Coefficient during Flow Boiling of Nanofluids in Horizontal Tube
The goal of this study is to improve the accuracy and the validity of the prediction of the heat
transfer coefficient (HTC) throughout flow boiling of different water-based nanofluids in a …
transfer coefficient (HTC) throughout flow boiling of different water-based nanofluids in a …
Metoda potpornih vektora u procjeni utjecaja karakteristika unaprijednih osmotskih membrana na zadržavanje organskih molekula
Sažetak Proces unaprijedne osmoze (FO) trenutačno se učestalo proučava, a glavne su
tematike zadržavanje različitih molekula, potrošnja energije i modeliranje samog procesa …
tematike zadržavanje različitih molekula, potrošnja energije i modeliranje samog procesa …
[PDF][PDF] Investigation of the Efficiency of Small-Scale NF/RO Seawater Desalination by Using Artificial Neural Network Modeling
A Adda, S Bezari, M Salmi, G Lorenzini… - … homepage: http://iieta …, 2021 - academia.edu
An attempt is conducted in this paper to develop an artificial neural network (ANN) model for
predicting the efficiency of small-scale NF/RO seawater desalination, then applied to the …
predicting the efficiency of small-scale NF/RO seawater desalination, then applied to the …
[PDF][PDF] Corrected Proof
A Benyekhlefa, B Mohammedib, D Hassania… - 2021 - academia.edu
In this work, an artificial neural network (ANN) model was developed with the aim of
predicting fouling resistance for heat exchanger, the network was designed and trained by …
predicting fouling resistance for heat exchanger, the network was designed and trained by …