Yacine SLIMANI - Academia.edu (original) (raw)

Papers by Yacine SLIMANI

High energy density physics, Jun 1, 2024

Bulletin of Materials Science/Bulletin of materials science, May 18, 2024

Solid state communications, Apr 1, 2024

Journal of optics/Journal of optics (New Delhi. Print), Apr 11, 2024

Research Square (Research Square), Feb 7, 2024

We use an ab initio approach to look into the structural, electronic band structure, and thermoel... more We use an ab initio approach to look into the structural, electronic band structure, and thermoelectric properties of titanium dioxide (TiO 2 in rutile phase), and we then use TiO 2 to create its effects on sol-gel-produced polyvinyl alcohol/silicon dioxide (PVA/SiO2) hybrid lms. The synthesis of the hybrid lms involved the incorporation of 1% TiO 2 nanoparticles in the PVA/SiO 2 matrix. The thermoelectric properties of the resulting hybrid lms were characterized through measurements of the Seebeck coe cient, electrical conductivity, and thermal conductivity. The ndings show that the thermoelectric performance of the PVA/SiO2 hybrid lms is greatly improved by TiO 2 nanoparticles are added to the rutile phase, with an optimal concentration (1%) of TiO 2 nanoparticles. This study provides insights into the potential applications of TiO 2 nanoparticles in enhancing the thermoelectric properties of hybrid materials and opens up avenues for further research in this area, and contributes to the growing body of knowledge on enhancing the thermoelectric properties of materials by incorporating TiO 2 nanoparticles into hybrid lms synthesized by the sol-gel method.

Solid State Communications

Journal of mathematical sciences, May 2, 2024

Revue de l'Information Scientifique et Technique, Jul 10, 2010

Engineering, Technology & Applied Science Research, Oct 2, 2022

This study aimed to adapt Convolutional Neural Networks (CNN) to solve the problem of change dete... more This study aimed to adapt Convolutional Neural Networks (CNN) to solve the problem of change detection using remote sensing imagery. Specifically, the goal was to investigate the impact of each CNN layer to detect changes between two satellite images acquired on two different dates. As low-level CNN layers detect fine details (small changes) and higher-level layers detect coarse details (large changes), the idea was to assign a weight to each layer and use a genetic algorithm based on a training dataset to generalize the detection process on the test dataset. The results showed the effectiveness of the proposed approach based on two real-life datasets.

Revue de l'Information Scientifique et Technique, Dec 7, 2011

Le processus de la fouille des usagers du web est basé sur l'analyse des fichiers Logs. Dans cet ... more Le processus de la fouille des usagers du web est basé sur l'analyse des fichiers Logs. Dans cet article on présente les déférentes phases à savoir : Prétraitement, découverte et analyse du modèle. Le prétraitement consiste a nettoyé le fichier log et sa structuration en sessions. Dans la phase découverte de connaissance on a appliqué l'Algorithme Apriori pour l'extraction des règles d'association et enfin une analyse des résultats obtenus.

We use some recent developments in Dynamics Programming Method to obtain the complete and theoret... more We use some recent developments in Dynamics Programming Method to obtain the complete and theoretically justified solution of a differential game formulated and studied in \cite{CHE} using the Lanchester equation. We use a certain refinement of Cauchy's Method of characteristics for stratified Hamilton-Jacobi equations to describe a large set of admissible trajectories and identify a domain on which the value function exists and is generated by a pair of admissible feedback strategies. Its optimality, is justified by using of one of the well-known verification theorems as an argument for sufficient optimality conditions. MSC Classification: 49N70 , 49N35 , 49N90 , 91A23 , 49L20 , 34A60

2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), 2020

The purpose of this paper is to experimentally study the adaptation of convolutional neural netwo... more The purpose of this paper is to experimentally study the adaptation of convolutional neural networks (CNN) to the problem of change detection in remote sensing data. Specifically, our goal is to explore the impact of each layer of CNN (low, medium, and high level) in capturing changes. To this end, two types of changes are studied, an artificial change and a real change. The results indicates that it is recommended to use specific CNN layers to detect specific changes. However, prior information on the size and characteristics of the changes are needed to make such a decision.

Web Usage Mining is the process of discovering user's navigation pattern and predicting user&... more Web Usage Mining is the process of discovering user's navigation pattern and predicting user's behavior. The quantity of the Web usage data to be analyzed and its low quality are the principal problems in WUM. Several algorithms of data mining have been applied in order to extract the behaviors of the Web sites' users. In this present work, we have implemented a community detection technique in WUM process that is based on the modularity function and we have organized the preprocessed data as a weighted graph. The obtained results illustrate the aptitude of the proposed algorithm to determine a pertinent design of the web site from the discovered communities.

International Journal of Mathematics in Operational Research, 2021

Ingénierie des systèmes d information, 2020

Mobile ad hoc networks (MANETs) consist of self-configured mobile wireless nodes capable of commu... more Mobile ad hoc networks (MANETs) consist of self-configured mobile wireless nodes capable of communicating with each other without any fixed infrastructure or centralized administration using the medium radio. Wireless technology is based on standard IEEE.802.11. The IEEE 802.11 Distributed Coordination Function (DCF) MAC layer uses the Binary Exponential Backoff (BEB) algorithm to deal with wireless network collisions. BEB is considered effective in reducing the probability of collisions but at the expense of numerous network performance measures, such as throughput and packets delivery ratio, mainly in high traffic load. Deep Reinforcement Learning (DRL) is a DL technique in which an agent can achieve a goal by interacting with the environment. In this paper, using one of the DRL models, we propose Q-learning (QL) to optimize MAC protocols' performance based on the contention window (CW) in MANETs. The intelligent proposed MISQ takes into account the number of packets to be tra...

International Journal of Advanced Intelligence Paradigms, 2018

Discovering the community structure in the context of web usage mining has been addressed in many... more Discovering the community structure in the context of web usage mining has been addressed in many different ways. In this paper, we present a new method for detecting communities using Markov chains based on the set of frequent motifs. The basic idea is to analyze the occurrence probability of different frequent sequences during different user sessions in order to extract the communities that describe the users behavior. The proposed method is successfully applied on the web site of Setif university.

Studies in Computational Intelligence, 2016

Accurate location prediction is central for the current and future location based services. We pr... more Accurate location prediction is central for the current and future location based services. We propose here an approach based on a new definition of community, which is centered on individual interests, and open for a novel prediction approach that exploits the properties of these communities. We show on real traces that the proposed approach is very efficient and allows to achieve high performances.

Mobile Networks and Applications, 2017

Human mobility has attracted lots of attention in the domain of wireless communication technologi... more Human mobility has attracted lots of attention in the domain of wireless communication technologies and behavioral sciences. Exploring and analyzing human movements that are changing over time, relating to user habits and depending on spacial aspect is a challenging problem. In this paper, we are interested in discovering communities of mobile users and studying how do communities provide accurate knowledge to analysis the different forms of human mobility. The basic idea of our work is to model the behaviour of users with strong social characteristics regarding the context of their location histories to explore a similar interest of people by mining their mobiles communities. The proposed analysis illustrates in what way a A.

The extraction of user behavior in the process ofWeb Usage Mining has attracted a growing interes... more The extraction of user behavior in the process ofWeb Usage Mining has attracted a growing interest and is the subject of several researches that have been proposed to analyze log files and provide a useful knowledge to restructure and customize the design of a web site. In this paper, we present an approache for extracting data based on the modularity function and we discuss the obtained results. This approach discovers the existing communities by modeling the data obtained in the pre-processing operation as a weighted graph. The method discriminates the communities through their subject of interest and extract a relevant knowledge.