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Brahami Menaouer

Brahami Menaouer
  • Professor
  • Artificial intelligence at National Polytechnic School of Oran - Maurice Audin, Oran, Algeria

Full Professor in Computer Systems Engineering Dapartment at National Polytechnic School of Oran

About

47
Publications
16,347
Reads
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367
Citations
Introduction
BRAHAMI Menaouer currently works as a full Professor at the Computer Systems Engineering Department, National Polytechnic School of Oran, Algeria. Dr. Brahami’s research is multidisciplinary and focuses on Knowledge Engineering and Management, Business Intelligence, Artificial Intelligence, Data Science, and Data Analysis.
Current institution
National Polytechnic School of Oran - Maurice Audin, Oran, Algeria
Current position
  • Artificial intelligence
Additional affiliations
December 2007 - present
National Polytechnic School of Oran, Algeria
Position
  • Professor (Full)
Description
  • Knowledge Management, Data Mining, Machine Learning and Deep Learning
January 2005 - June 2023
Université Oran 1 Ahmed Ben Bella
Position
  • PhD Student
Description
  • Design and Implementation of a new knowledge management method entitled: Boolean Knowledge Management guided by Data Mining (BKMDM)
Education
September 2012 - March 2014
University of Technology of Troyes
Field of study
  • Computer Science
September 2007 - May 2014
Université Oran 1 Ahmed Ben Bella
Field of study
  • Computer Science

Publications

Publications (47)
Article
Full-text available
The motivations for a company to adopt Knowledge Management (KM) and Customer Relationship Management (CRM) systems can be very varied, which brings an additional complexity to the adoption decision. It is important to understand the main drivers of KM and CRM adoption so that companies can better target their performance indicators. However, the i...
Article
Full-text available
The textual document set has become an important and rapidly growing information source especially for the health sector. Many efforts are made to cope with medical text explosion and to obtain useful knowledge from it, and also predict diseases and anticipate the cure. Text mining and natural language processing are fast-growing areas of research,...
Chapter
Full-text available
Heart disease is considered as one of the major causes of death throughout the world. It cannot be easily predicted by the medical practitioners as it is a difficult task which demands expertise and higher knowledge for prediction. Currently, the recent development in medical supportive technologies based on data mining, machine learning plays an i...
Chapter
Full-text available
Knowledge plays a key role in the information revolution. Major challenges are to select the information from numerous sources and transform it into useful knowledge. In this context and in an economy strongly focused on the “Knowledge”, take the turn of knowledge management becomes a strategic issue for the survival of organizations. However, the...
Article
Full-text available
In an increasingly competitive economic environment, innovation has become an invaluable asset to the organization and for effective knowledge management (KM). Nowadays, organizations are knowledge based and their success and survival depend on creativity, diversity, and innovation. A knowledge map is a vital tool for better KM and innovation. To t...
Article
Full-text available
Nowadays, social networks play a critical role in online social discourse, particularly during major events such as elections, health crises, and wars. Furthermore, individuals have spent significant time on social networks that consume news and express their opinions and viewpoints on various topics, namely, the Russia-Ukraine War. The Ukraine-Rus...
Article
Full-text available
Blood transfusion is a medical procedure that involves transfusing blood or one of its components from one or more donors into a patient. Digital technology and machine learning have played a crucial role in the blood field and have provided real prospects for the production and distribution of blood products. In this study, we propose supervised m...
Article
Full-text available
In recent years, wind turbine condition monitoring based on Supervisory Control and Data Acquisition (SCADA) systems has attracted considerable scientific research interest. Frequently reported challenges include the fact that most wind turbine SCADA parameters are highly dependent on the operating conditions, such as wind speed, wind direction, an...
Presentation
Full-text available
First National Conference On Artificial Intelligence, Smart Technologies And Communications (AISTC’23)
Article
Full-text available
In the past decade, Android has become a standard smartphone operating system. The mobile devices running on the Android operating system are particularly interesting to malware developers, as the users often keep personal information on their mobile devices. This paper proposes a deep learning model for mobile malware detection and classification....
Book
Full-text available
Le monde du travail s'est vigoureusement réformé au cours de ces dernières décennies. En effet, l’acquisition d’expériences en matière management des projets a amené les organisations à développer une approche qui est actuellement largement appliquée. Celle-ci répartit le management des projets en un nombre de phases distinctes. A cet effet, le man...
Book
Full-text available
Knowledge has been increasingly seen as a key competitive resource in organizations and this has influenced selection and recruitment practices in many organizations. Today, it is an essential necessity for healthcare organizations to manage both tacit and explicit knowledge effectively in order to provide the best possible healthcare by solving pr...
Conference Paper
Full-text available
With the advancements in world technologies like processing power, high speed internet (4G, 5G) and the increasing availability of cheap electronics, the Internet of Things phenomenon (IoT) emerged. This enabled electronic objects to connect to the internet, interact with each other, and interact with the physical world through the internet. Conseq...
Article
Full-text available
In today's context (globalization, competition, knowledge economy, technological changes, external environmental factors), knowledge management and business intelligence on the tourism level have received increased attention aiming to identify smart performance factors and change the structure of organizations. Similarly, the tourism industry has e...
Article
Full-text available
During the recent years, diabetic retinopathy (DR) has been one of the most threatening complications of diabetes that leads to permanent blindness. Further, DR mutilates the retinal blood vessels of a patient having diabetes. Accordingly, various artificial intelligence techniques and deep learning have been proposed to automatically detect abnorm...
Chapter
Full-text available
Knowledge plays a key role in the information revolution. Major challenges are to select the information from numerous sources and transform it into useful knowledge. In this context and in an economy strongly focused on the "Knowledge", take the turn of knowledge management becomes a strategic issue for the survival of organizations. However, the...
Thesis
Sentiment analysis is a natural language processing task, that has been a topic of interest in the past and in the present day for the research community. This problem has many solutions offered with different machine learning classification techniques. One of the newer techniques is deep learning, and the technologies of the Transformers adopted b...
Thesis
Le dépistage organisé de cette affection est, à l’heure actuelle, la seule arme pour améliorer l’état dans lequel les malades sont vus. Il permet de réduire la mortalité de ces cancers, d’assurer une meilleure survie des patientes voire une guérison totale et de réduire les coûts de prise en charge.Dans les recherches relatives au cancer de façon g...
Thesis
Full-text available
Customer product reviews play an important role in the customer’s decision to purchase a product. Customer preferences and opinions are affected by other customers’ reviews online, over social networking platforms. We propose a recommender system based on sentiment analysis to help users decide on products, using online product reviews. The main go...
Thesis
Full-text available
Reading a doctor's handwritten prescription is a challenge that most patients and some pharmacists face; a problem which in some cases leads to negative consequences due to incorrect decryption of the prescription. Part of the reason doctors' prescriptions are hard to read is that doctors use abbreviations and medical terminology that most pharmaci...
Thesis
In this research project, we apply a methodological approach to analyze people's sentiments associated with Coronavirus infection using fuzzy deep learning algorithms, particularly the Adaptive Neuro-Fuzzy Inference System (ANFIS). The first step is extracting tweets from Twitter using Twitter API by many keywords. After preprocessing the tweets da...
Chapter
Full-text available
Smaller companies are abundant in the business realm and outnumber large companies by a wide margin. To maintain a competitive edge against other businesses, companies must ensure the most effective strategies and procedures are in place. This is particularly critical in smaller business environments that have fewer resources. Start-Ups and SMEs:...
Chapter
Full-text available
We aim through this research paper to identify the role that information and communication technology can play in activating knowledge management processes, represented in: knowledge diagnosis - knowledge generation - knowledge storage - knowledge distribution - knowledge application, as we first tried to understand the various concepts of informat...
Article
Full-text available
Social media has revolutionized the way people disclose their personal health concerns and express opinions on public health issues. In this paper, a new approach for multi-class sentiment classification using supervised learning techniques is presented. The aim of this multi-class sentiment classification is to assign the healthcare tweets automat...
Article
Full-text available
In today’s context (competition and knowledge economy), ML and KM on the supply chain level have received increased attention aiming to determine long and short-term success of many companies. However, demand forecasting with maximum accuracy is absolutely critical to invest in various fields, which places the knowledge extract process in high deman...
Article
Full-text available
Pneumonia is a life-threatening infectious disease affecting one or both lungs in humans. There are mainly two types of pneumonia: bacterial and viral. Likewise, patients with coronavirus can develop symptoms that belong to the common flu, pneumonia, and other respiratory diseases. Chest x-rays are the common method used to diagnose coronavirus pne...
Article
Full-text available
Brain tumor is a severe cancer disease caused by uncontrollable and abnormal partitioning of cells. Timely disease detection and treatment plans lead to the increased life expectancy of patients. Automated detection and classification of brain tumor are a more challenging process which is based on the clinician's knowledge and experience. For this...
Article
Full-text available
In today's digital era, Twitter's data has been the focus point among researchers as it provides specific Twitter's daily usage has surged throughout the coronavirus disease (C period, presenting a unique opportunity to analyze the content and sentiment of covid 19 tweets. In this paper, a new approach classification of Covid-19 tweets using the Ad...
Article
Full-text available
Les entreprises ont toujours veillé à attirer et à fidéliser les clients vu l'importance du profit que leurs apportent ces derniers. Le Marketing ne cesse d'évoluer spécialement avec l'intégration permanente des NTIC. Dans ce sens, on parle aujourd'hui d'e-CRM (gestion électronique de la relation client) comme une solution nécessaire qui s'inscrit...
Article
Full-text available
with the advent of an economy knowledge-based, the communities of practice (CoPs) constitute for companies interesting structures order to achieve and share their knowledge. Moreover, knowledge / skills mapping (KMap) is seen as a way to improve the sharing and the use of intangible capital, represented especially by the knowledge (tacit and / or e...
Conference Paper
Full-text available
Knowledge management is to acquire and represent knowledge relevant to a domain, a task or a specific organization in order to facilitate access, reuse and evolution. This usually means build, maintain and evolve an explicit representation of knowledge. Knowledge mapping is graphical techniques which allows of preserving and visualizing the patrimo...
Article
Full-text available
Knowledge plays a key role in the information revolution. Major challenges are to select the information from numerous sources and transform it into useful knowledge. In this context and in an economy strongly focused on the “Knowledge”, take the turn of knowledge management becomes a strategic issue for the survival of organizations. However, the...
Book
La capitalisation du savoir-faire et la maîtrise d’une masse d’informations en constante augmentation sont devenues les nouveaux enjeux stratégiques des organisations, qui ont pour objectif de capturer l’ensemble du patrimoine de connaissances. Ainsi, la cartographie des connaissances est un moyen de navigation cognitif pour accéder aux ressources...
Article
In the current context of crisis, a consens us emerges on the need to change development model and from growth. Sustainable development consists in reconsidering ourmodels of growth by reconciling three fields toooften managed like distict logics(environmental, economic and social). Theconcept of RSE (Socialresponsibility of theCompanies) consistsi...
Article
Full-text available
In the context current industrial, the companies consider the knowledge as an important resource and strategic for innovation. For it, a good understanding of intellectual patrimony of the company and its environment promotes the emergence of the new ideas. In this paper, we present a new approach to support innovation which builds on the one hand,...
Article
Full-text available
The interest of companies for a greater valuation of their information, knowledge and competency is increasing. These companies have a knowledge capital (tacit and explicit) often poorly exploited. These information resources include knowledge and information useful and necessary to the execution of trades ' processes and that it will be captured a...
Article
Full-text available
The capitalization of know-how, knowledge management, and the control of the constantly growing information mass has become the new strategic challenge for organizations that aim to capture the entire wealth of knowledge (tacit and explicit). Thus, knowledge mapping is a means of (cognitive) navigation to access the resources of the strategic herit...

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