[HTML][HTML] Robust modelling development for optimisation of hydrogen production from biomass gasification process using bootstrap aggregated neural network
In this study, a robust model using bootstrapped aggregated neural network (BANN) was
developed for optimising operating conditions of a two-stage gasification for high carbon …
developed for optimising operating conditions of a two-stage gasification for high carbon …
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 …
Investigation of polar mobile organic compounds (PMOC) removal by reverse osmosis and nanofiltration: rejection mechanism modelling using decision tree
B Teychene, F Chi, J Chokki, G Darracq, J Baron… - Water …, 2020 - iwaponline.com
Polar mobile organic compounds (PMOC) are highly polar chemicals and tend to
accumulate in short water cycles. Due to their properties, PMOC might be partially …
accumulate in short water cycles. Due to their properties, PMOC might be partially …
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 …
Prediction of hourly global solar radiation: comparison of neural networks/bootstrap aggregating
Sažetak This research work explores the use of single neural networks and bootstrap
aggregated neural networks for predicting hourly global solar radiation. A database of 3606 …
aggregated neural networks for predicting hourly global solar radiation. A database of 3606 …
[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] Parametric Analysis of Climate Factors for Monthly Weather Prediction in Ghardaïa District Using Machine Learning-Based Approach: ANN-MLPs
A Dahmani, Y Ammi, K Ikram, S Kherrour… - … Journal of Robotics …, 2025 - researchgate.net
Weather predicting involves the identification and prediction of climatic conditions with a
certain degree of accuracy using various technologies. Many real-time systems rely on …
certain degree of accuracy using various technologies. Many real-time systems rely on …
[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 …
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 …
Developed nonlinear model based on bootstrap aggregated neural networks for predicting global hourly scale horizontal irradiance
This research study examines the use of two models of artificial intelligence based on a
single neural network (SNN) and bootstrap aggregated neural networks (BANN) for the …
single neural network (SNN) and bootstrap aggregated neural networks (BANN) for the …