Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Meryem Saidi"'
Autor:
Meryem Saidi, François Bihl, Olinda Gimello, Benoit Louis, Anne-Cécile Roger, Philippe Trens, Fabrice Salles
Publikováno v:
Nanomaterials, Vol 14, Iss 2, p 213 (2024)
Adsorption isotherms of pure vapors and vapor mixtures of water, methanol, and cyclohexane were studied using a synthesized 13X zeolite (FAU topology), by means of a DVS gravimetric vapor analyzer. These results were validated by GCMC calculations. T
Externí odkaz:
https://doaj.org/article/75373e9f63e64b60bc8e122b807b7216
Autor:
Meryem Saidi, Phuoc Hoang Ho, Pankaj Yadav, Fabrice Salles, Clarence Charnay, Luc Girard, Leila Boukli-Hacene, Philippe Trens
Publikováno v:
Molecules, Vol 26, Iss 24, p 7620 (2021)
This paper reports on the comparison of three zirconium-based metal organic frameworks (MOFs) for the capture of carbon dioxide and ethanol vapour at ambient conditions. In terms of efficiency, two parameters were evaluated by experimental and modeli
Externí odkaz:
https://doaj.org/article/b2849dde84c7439e88f661d4aa719c56
Autor:
Nesma Settouti, Meryem Saidi
Publikováno v:
Evolutionary Intelligence.
Publikováno v:
Reaction Kinetics, Mechanisms and Catalysis. 131:1009-1021
Zr-fumaric based metal-organic framework (MOF) was successfully sonochemically synthesized and characterized by powder X-ray diffraction (PXRD), Brunauer–Emmett–Teller (BET) surface area analysis, thermogravimetric analysis (TGA) and scanning ele
Autor:
Nesma Settouti, Mohammed El Amine Bechar, Meryem Saidi, Mohammed Amine Chikh, Mostafa El Habib Daho
Publikováno v:
Pattern Analysis and Applications. 23:1709-1726
Instance and variable selection involve identifying a subset of instances and variables such that the learning process will use only this subset with better performances and lower cost. Due to the huge amount of data available in many fields, data re
Autor:
Nesma Settouti, Khalida Douibi, Mostafa El Habib Daho, Mohammed El Amine Bechar, Meryem Saidi
Publikováno v:
Open Computer Science, Vol 9, Iss 1, Pp 226-242 (2019)
Over the last few years, Multi-label classification has received significant attention from researchers to solve many issues in many fields. The manual annotation of available datasets is time-consuming and need a huge effort from the expert, especia
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 30:457-478
The main limit of data mining algorithms is their inability to deal with the huge amount of available data in a reasonable processing time. A solution of producing fast and accurate results is inst...
Publikováno v:
International Journal of Computational Economics and Econometrics. 11:323
In the past few years, a growing demand for credit compel banking institution to contemplate machine learning techniques as an answer to obtain decisions in a reduced time. Different decision suppo...
Publikováno v:
MedPRAI
The pixel-based classification is a robust segmentation approach of color images by determining a label region for each pixel of the image. The main drawback of this approach is the computed charge that is very high, since training data is possibly c
Publikováno v:
International Journal of Computer Theory and Engineering. :438-442
Abstract—Interpretability represents the most important driving force behind the implementation of fuzzy-based classifiers for medical application problems. The expert should be able to understand the classifier and to evaluate its results. The