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A new hybrid quantitative structure property relationships‐support vector regression (QSPR‐SVR) approach for predicting the solubility of drug compounds in supercritical carbon dioxide

AIChE journal, 2023-08, Vol.69 (8), p.n/a

2023

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Quantitative structure‐property relationship techniques for predicting carbon dioxide solubility in ionic liquids using machine learning methods

International journal of quantum chemistry, 2024-08, Vol.124 (15), p.n/a

2024

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Machine learning approach for the prediction of surface tension of binary mixtures containing ionic liquids using σ‐profile descriptors

International journal of quantum chemistry, 2023-02, Vol.123 (3), p.n/a

2023

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QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide

Molecular informatics, 2022-10, Vol.41 (10), p.e2200026-n/a

2022

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Hybrid Improved Grey Wolf Support Vector Regression Algorithm for Modeling Solubilities of APIs in Pure Ionic Liquids: σ‑Profile Descriptors

Journal of chemical information and modeling, 2024-02, Vol.64 (4), p.1361-1376

2024

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A Quantitative Structure Activity Relationship for acute oral toxicity of pesticides on rats: Validation, domain of application and prediction

Journal of hazardous materials, 2016-02, Vol.303, p.28-40

2016

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Enjeux du métier d’enseignant dans la zone sud-ouest de l’océan Indien: Études de cas à Madagascar, Maurice, Mayotte et La Réunion

Revue internationale d'éducation de Sèvres, 2023-12, Vol.94, p.107-114

Si Moussa, Azzedine

2023

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Modeling the activity coefficient at infinite dilution of water in ionic liquids using artificial neural networks and support vector machines

Neural computing & applications, 2020-06, Vol.32 (12), p.8635-8653

2020

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Machine Learning and Neural Networks for Modelling the Retention of PPhACs by NF/RO

Kemija u industriji; časopis kemičara i tehnologa Jugoslavije, 2023-11, Vol.72 (11-12), p.617-626

2023

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Artificial neural network-based equation to predict the toxicity of herbicides on rats

Chemometrics and intelligent laboratory systems, 2016-05, Vol.154, p.7-15

2016

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CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA

Chemical Industry and Chemical Engineering Quarterly, 2021-07, Vol.27 (3), p.299-312

2021

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Novel approach for estimating solubility of solid drugs in supercritical carbon dioxide and critical properties using direct and inverse artificial neural network (ANN)

Neural computing & applications, 2017, Vol.28 (1), p.87-99

2017

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Prediction of Acute Herbicide Toxicity in Rats from Quantitative Structure–Activity Relationship Modeling

Environmental engineering science, 2014-05, Vol.31 (5), p.243-252

2014

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Artificial Neural Network Models for Prediction of Density and Kinematic Viscosity of Different Systems of Biofuels and Their Blends with Diesel Fuel. Comparative Analysis

Kemija u industriji; časopis kemičara i tehnologa Jugoslavije, 2020-06, Vol.69 (7-8), p.355-364

2020

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Évaluations nationales en France et contexte ultrapériphérique : un enjeu significatif pour l’école à La Réunion ?

Mesure et évaluation en éducation, 2015, Vol.38 (1), p.31-56

Si Moussa, Azzedine

2015

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Optimization of culture conditions for the production of Pleuromutilin from Pleurotus Mutilus using a hybrid method based on central composite design, neural network, and particle swarm optimization

Biotechnology and Bioprocess Engineering, 2012, 17(5), , pp.1048-1054

2012

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A 7-dB 43-GHz CMOS Distributed Amplifier on High-Resistivity SOI Substrates

IEEE transactions on microwave theory and techniques, 2008-03, Vol.56 (3), p.587-598

2008

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A 2.4-GHz Fully Integrated ESD-Protected Low-Noise Amplifier in 130-nm PD SOI CMOS Technology

IEEE transactions on microwave theory and techniques, 2007-12, Vol.55 (12), p.2822-2831

2007

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Application of PC-SAFT and cubic equations of state for the correlation of solubility of some pharmaceutical and statin drugs in SC-CO2

Chemical Industry and Chemical Engineering Quarterly, 2013-01, Vol.19 (3), p.449-460

2013

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Bandwidth improvement technique of distributed amplifiers using combined filtering structures

International journal of electronics and communications, 2011-10, Vol.65 (10), p.777-782

2011

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Semi-empirical correlation of solid solute solubility in supercritical carbon dioxide: Comparative study and proposition of a novel density-based model

Comptes rendus. Chimie, 2018-05, Vol.21 (5), p.494-513

2018

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Temperature behavior of spiral inductors on high resistivity substrate in SOI CMOS technology

Solid-state electronics, 2008-12, Vol.52 (12), p.1915-1923

2008

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Silicon-on-insulator for high-temperature applications

IET circuits, devices & systems, 2008-02, Vol.2 (1), p.151-151

2008

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Behavior of a traveling-wave amplifier versus temperature in SOI technology

IEEE transactions on microwave theory and techniques, 2006-06, Vol.54 (6), p.2675-2683

2006

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Novel density-based model for the correlation of solid drugs solubility in supercritical carbon dioxide

Comptes rendus. Chimie, 2017-05, Vol.20 (5), p.559-572

2017

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A new hybrid quantitative structure property relationships‐support vector regression (QSPR‐SVR) approach for predicting the solubility of drug compounds in supercritical carbon dioxide

Quantitative structure‐property relationship techniques for predicting carbon dioxide solubility in ionic liquids using machine learning methods

Machine learning approach for the prediction of surface tension of binary mixtures containing ionic liquids using σ‐profile descriptors

QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide

Hybrid Improved Grey Wolf Support Vector Regression Algorithm for Modeling Solubilities of APIs in Pure Ionic Liquids: σ‑Profile Descriptors

A Quantitative Structure Activity Relationship for acute oral toxicity of pesticides on rats: Validation, domain of application and prediction

Enjeux du métier d’enseignant dans la zone sud-ouest de l’océan Indien: Études de cas à Madagascar, Maurice, Mayotte et La Réunion

Modeling the activity coefficient at infinite dilution of water in ionic liquids using artificial neural networks and support vector machines

Machine Learning and Neural Networks for Modelling the Retention of PPhACs by NF/RO

Artificial neural network-based equation to predict the toxicity of herbicides on rats

CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA

Novel approach for estimating solubility of solid drugs in supercritical carbon dioxide and critical properties using direct and inverse artificial neural network (ANN)

Prediction of Acute Herbicide Toxicity in Rats from Quantitative Structure–Activity Relationship Modeling

Artificial Neural Network Models for Prediction of Density and Kinematic Viscosity of Different Systems of Biofuels and Their Blends with Diesel Fuel. Comparative Analysis

Évaluations nationales en France et contexte ultrapériphérique : un enjeu significatif pour l’école à La Réunion ?

Optimization of culture conditions for the production of Pleuromutilin from Pleurotus Mutilus using a hybrid method based on central composite design, neural network, and particle swarm optimization

A 7-dB 43-GHz CMOS Distributed Amplifier on High-Resistivity SOI Substrates

A 2.4-GHz Fully Integrated ESD-Protected Low-Noise Amplifier in 130-nm PD SOI CMOS Technology

Application of PC-SAFT and cubic equations of state for the correlation of solubility of some pharmaceutical and statin drugs in SC-CO2

Bandwidth improvement technique of distributed amplifiers using combined filtering structures

Semi-empirical correlation of solid solute solubility in supercritical carbon dioxide: Comparative study and proposition of a novel density-based model

Temperature behavior of spiral inductors on high resistivity substrate in SOI CMOS technology

Silicon-on-insulator for high-temperature applications

Behavior of a traveling-wave amplifier versus temperature in SOI technology

Novel density-based model for the correlation of solid drugs solubility in supercritical carbon dioxide

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