WEBREVIEW

Genesis of a “Diophantine equation” in Arabic mathematics.

Foued Nafti, Khaled Kchir, Saif-Eddin Toumi — 2020-12-22T16:07:35Z

We intend in this paper to outline one part of the number theory genesis relatively to the equation : a square plus/minus a number equals a square focusing on the Arabic mathematicians' works, like, for example, those of al-Khazin, Ibn al- Laith, al-Karaji, al-Baghdadi and al-Khallat. We will then briefly describe the occidental tradition relative to his subject threw the works of Fibonacci, Fermat, Frenecle, Euler, and (...)

- Numéro 01 / Arabic mathematics, The number theory, Diophantus, al-Khazin, Ibn al-Laith, Al-Karaji, Al-Baghdadi, Al-Khallaṭ, Fibonacci, Fermat, Euler, Frenecle

MAMCTA Multi-Agent Model for Counter Terrorism Actions

Issam Nouaouri, Kamel Akrout, Lamjed Ben Said, Mouna Belhaj, Oussama Kebir — 2020-12-22T15:59:56Z

Today, the world is affected by a new concept of war called terrorism. As plans to face conventional enemies have become unusual against terrorism, there are a necessity for innovative concepts and technologies. In order to support units, we aim to upgrade the capability of leaders structuring their choices. In this paper, we offer a multi-agent architecture for the planning of actions against terrorist attacks. It is distinguished by decisive policy responses and methodical procedures for (...)

- Numéro 01 / Multi-agent, terrorism, Attacks, Model, Modern war, Irregular war, Organization

The dominant interest of structuring environmental scanning systems : mapping of 20 years of research in Tunisia.

Maroua HAMMAMI, Souad KAMOUN CHOUK — 2020-12-22T15:31:57Z

Through this study, we propose an overview of two decades of research on Strategic Environmental Scanning (ESS) and competitive intelligence (CI) in Tunisia. A particular attention is given to Scientific and Technical Scanning (STS) as part of SES practices and as a strong support to R&D activity and trigger of innovation. The objective of this work is to fill a gap faced by academic researchers interested in issues related to this field of research. The scarcity of meta-analyses within (...)

- Numéro 01 / Environmental Strategic Scanning (ESS), Competitive Intelligence (CI), Scientific and technical information (STI), Technical scientific Environmental scanning, Environment uncertainty, Artificial intelligence, Data visualization

Cartographic Visualization of personalized Scientific Alerts

Anja Habacha Chaibi, Hajjami Ben Ghezala Henda , Nedra Ibrahim — 2020-12-22T15:02:21Z

Different diffusion tools within collaborative networks provide to researchers more and recent information. In this paper, we focus on the scientific quality of diffused information and discuss the implications of this tendency for scientific performance. We propose a qualitative scientific watch system enriched by an alerts' personalization and cartographic visualization tools. The proposed watch system is based on scientific quality evaluation in its different parts. Scientific quality (...)

- Numéro 01 / scientometrics, scientific quality, cartographic visualization, personalization, scientific watch, Academic social networks

Meta-heuristic algorithms for the multi-item transshipment problem

Lamjed Ben Said, Mohamed Hmidena, Noomen Selmia — 2020-12-22T14:51:17Z

Differential Evolution (DE) and the Particle Swarm Optimization (PSO) are two evolutionary algorithms that confirmed their efficiency in resolving complex problems. In this paper, we intend to adopt these algorithms to resolve a complex inventory management problem, known in the literature by the transshipment problem. This problem concerns network of collaborative retailers selling items and they collaborate by exchanging items between them. The transshipment problem consists in deriving the optimal replenishment quantity, for each retailer, while a transshipment policy is adopted. A huge body of literature works has addressed this problem where several configurations are investigated. A few of them has addressed the multiitem and the multi-location configuration because of its complexity. We focus in this paper on this complex configuration and we resolve it by the PSO and DE algorithms. Secondly, we compare between the performances of these algorithms according to a set of criteria. Thirdly, we analysis the impact of the studiedtransshipment parameters on the inventory system performance measures.

Optimized Sentiments analysis Approach, Based On Aspects, Attention and Subjectivity notions For Textual Business Intelligence

Hammou FADILI — 2020-12-22T14:41:57Z

This article presents the results obtained in applying an innovative and optimized approach to textual semantic analysis in the service of decision-making. Significant improvements have been made in the existing procedures of sentiment and recommendation analysis, and in opinions mining, to enable better-motivated decisions and benefit from big data. These improvements concerned, especially, the support of the notions of aspects, attention and subjectivity to lighten the treatments, well (...)

- Numéro 01 / Machine learning, Modeling and prediction, Natural language processing, Neural models, Semantics, Sentiments analysis, Text mining

Classification of Hate Speech Using Deep Neural Networks

Ashwin Geet D'Sa, Dominique Fohr, Irina Illina — 2020-12-22T14:32:57Z

In the Internet age where the information flow has grown rapidly, there is an increase in digital communication. The spread of hatred that was previously limited to verbal communications has quickly moved over the Internet. Social media and community forums that allow people to discuss and express their opinions are becoming platforms for the dissemination of hate messages. Many countries have developed laws to prevent online hate speech. They hold the companies that run the social media responsible for their failure to remove hate speech. However, manual analysis of hate speech on online platforms is infeasible due to the huge amount of data as it is expensive and time consuming. Thus, it is important to automatically process the online user contents to detect and remove hate speech from online media. Through this work, we propose some solutions for the problem of automatic detection of hate messages. We perform hate speech classification using embedding representations of words and Deep Neural Networks (DNN). We compare fastText and BERT (Bidirectional Encoder Representations from Transformers) embedding representations of words. Furthermore, we perform classification using two approaches : (a) using word embeddings as input to Support Vector Machines (SVM) and DNN-based classifiers ; (b) fine-tuning of a BERT model for classification using a task-specific corpus. Among the DNNbased classifiers, we compare Convolutional Neural Networks (CNN), Bi-Directional Long Short Term Memory (Bi- LSTM) and Convolutional Recurrent Neural Network (CRNN). The classification was performed on a Twitter dataset using three classes : hate, offensive and neither classes. Compared to the feature-based approaches, the BERT fine-tuning approach obtained a relative improvement of 16% in terms of macro-average F1-measure and 5.3% in terms of weighted F1-measure.

From Data and Information Processing to Knowledge Organization : Architectures, Models and Systems

Sahbi SIDHOM — 2020-12-22T14:24:45Z

In this « special issue » on the topic « From Data and Information Processing to Knowledge Organization : Architectures, Models and Systems », seven (07) selected communications have been reviewed by peers in the OCTA Multi-Conference (unifying 4 scientific projects : SIIE, ISKO-Maghreb, CITED and TBMS) in program committees. We consider that this set of proposals, enriched in circumstance of this special issue by its authors at our request, are an excellent engine of current scientific ideas (...)

- Numéro 01 / data (data (internet traces), information processing, knowledge organisation, architecture (intelligent agent), model (pattern learning, NLP), system (intelligent system)

Les thèses électroniques : vers un nouveau workflow

Nadia Aliouali, Dahmane Madjid — 2018-04-19T11:44:42Z

L'intérêt de la diffusion des thèses en ligne fait actuellement l'objet d'un consensus dans les universités et autres institutions académiques et de recherche à travers le monde. Ce consensus est né, tout d'abord, du constat que le support papier ne permet plus une diffusion satisfaisante des travaux et résultats de recherche. Aussi, le réseau internet a permis d'ouvrir de très grandes perspectives en termes de souplesse et de rapidité de production et de diffusion des résultats académiques.
Nous (...)

- Numéro 1 / Thèse électronique, Diffusion , accès libre, prescription, Workflow

Les Classements des Universités Et Centres De Recherche : brève présentation et contexte national

Dahmani Samia, Kouici Salima, ALIOUA Imène — 2017-01-09T10:00:05Z

Les classements des universités sont de plus en plus prisés depuis quelques années, et sont devenu incontournables pour plusieurs institutions gouvernementales, medias, universités. Ces derniers représentent un outil important d'évaluation de la qualité dans le secteur de l'enseignement supérieur. Plusieurs classements ont vu le jour ces dernières années, et se sont élargis et diversifiés par rapport aux différents critères et indicateurs de recherche, pour prendre une dimension mondiale. Dans cette (...)

- Numéro 1 / Algérie, Université, Classement, Indicateur de la recherche, Shanghai, QS World, Webometrics, SCImago