ANN-based approach to model MC/DR of some fruits under solar drying

Autor: Sadadou, Ahmed, Hanini, Salah, Laidi, Maamar, Rezrazi, Ahmed
Matična publikacija: Kemija u industriji (Online) (2021)

Novel approach for predicting direct and open solar drying using artificial neural network for medicinal plant

Autor: Sadadou, Ahmed, Hanini, Salah, Laidi, Maamar, Rezrazi, Ahmed
Matična publikacija: Kemija u industriji (Online) (2021)

Artificial intelligence and mathematical modelling of the drying kinetics of pharmaceutical powders

Autor: Keskes, Sonia, Hanini, Salah, Hentabli, Mohamed, Laidi, Maamar
Matična publikacija: Kemija u industriji (Online) (2020)

Artificial neural network and support vector regression applied in quantitative structure-property relationship modelling of solubility of solid solutes in supercritical CO2

Autor: Moussaoui, Mohammed, Laidi, Maamar, Hanini, Salah, Hentabli, Mohamed
Matična publikacija: Kemija u industriji (Online) (2020)

A grey wolf optimizer-based fractional calculus in studies on solar drying

Autor: Abdelkader, Mahdad, Laidi, Maamar, Hanini, Salah, Hentabli, Mohamed, Amrane, Abdeltif
Matična publikacija: Kemija u industriji (Online) (2021)

Modelling drying time of Candesartan Cilexetil powder using computational intelligence technique

Autor: Keskes, Sonia, Hentabli, Mohamed, Laidi, Maamar, Hanini, Salah
Matična publikacija: Kemija u industriji (Online) (2021)

Modelling the drying kinetics of apple (Golab variety) : fractional calculus vs semi-empirical models

Autor: Mahdad, Abdelkader, Laidi, Maamar, Hanini, Salah, Hentabli, Mohamed, Benhelal, Mohamed
Matična publikacija: Kemija u industriji (Online) (2021)

Ternary multicomponent adsorption modelling using ANN, LS-SVR, and SVR approach : case study

Autor: Yettou, Amina, Laidi, Maamar, El Bey, Abdelmadjid, Hanini, Salah, Hentabli, Mohamed, Khaldi, Omar, Abderrahim, Mihoub
Matična publikacija: Kemija u industriji (Online) (2021)

QSPR studies of carbonyl, hydroxyl, polyene indices, and viscosity average molecular weight of polymers under photostabilization using ANN and MLR approaches

Autor: Maouz, Hadjira, Khaouane, Latifa, Hanini, Salah, Ammi, Yamina, Hamadache, Mabrouk, Laidi, Maamar
Matična publikacija: Kemija u industriji (Online) (2020)

Artificial neural network models for prediction of density and kinematic viscosity of different systems of biofuels and their blends with diesel fuel : comparative analysis

Autor: Belmadani, Souad, Hanini, Salah, Laidi, Maamar, Si-Moussa, Cherif, Hamadache, Mabrouk
Matična publikacija: Kemija u industriji (Online) (2020)

A contribution to the modelling of fouling resistance in heat exchanger-condenser by direct and inverse artificial neural network

Autor: Benyekhlef, Ahmed, Mohammedi, Brahim, Hanini, Salah, Boumahdi, Mouloud, Rezrazi, Ahmed, Laidi, Maamar
Matična publikacija: Kemija u industriji (Online) (2021)

Practical artificial neural network tool for predicting the competitive adsorption of dyes on gemini polymeric nanoarchitecture

Autor: El Bey, Abdelmadjid, Laidi, Maamar, Yettou, Amina, Hanini, Salah, Ibrir, Abdellah, Hentabli, Mohamed, Ouldkhaoua, Hasna
Matična publikacija: Kemija u industriji (Online) (2021)

Artificial neural network modelling of multi-system dynamic adsorption of organic pollutants on activated carbon

Autor: Mesellem, Yamin, Abdallah, Abdallah El Hadj, Laidi, Maamar, Hanini, Salah, Hentabli, Mohamed
Matična publikacija: Kemija u industriji (Online) (2021)

Critical properties and acentric factors of pure compounds modelling based on QSPR-SVM with Dragonfly algorithm

Autor: Moussaoui, Mohammed, Laidi, Maamar, Hanini, Salah, Abdallah, Abdallah El Hadj, Hentabli, Mohamed
Matična publikacija: Kemija u industriji (Online) (2021)

QSPR studies of carbonyl, hydroxyl, polyene indices and viscosity average molecular weight of polymers under photostabilization using ANN and MLR approaches

Autor: Maouz, Hadjira, Khaouane, Latifa, Hanini, Salah, Ammi, Yamina, Hamadache, Mabrouk, Laidi, Maamar
Matična publikacija: Kemija u industriji (2020)

Comparative study of predicting the molecular diffusion coefficient for polar and non-polar binary gas using neural networks and multiple linear regressions

Autor: Melzi, Naima, Khaouane, Latifa, Ammi, Yamina, Hanini, Salah, Laidi, Maamar, Zentou, Hamid
Matična publikacija: Kemija u industriji (Online) (2019)