BRAHAMI Menaouer | National Polytechnic School of Algeria (original) (raw)
Papers by BRAHAMI Menaouer
Indonesian Journal of Sustainability Accounting and Management
In today’s business context of globalization, competition, knowledge economy, rapid technological... more In today’s business context of globalization, competition, knowledge economy, rapid technological changes, and external environmental factors, knowledge management and business intelligence on the tourism level have received increased attention in an effort to identify smart performance factors and change the structure of organizations. Similarly, the tourism industry has experienced considerable development during recent decades. Moreover, sustainability is becoming increasingly important for society and is especially critical in the operation of the tourism industry. It is well known that sustainability is a prerequisite to carrying out any activity. This evaluates the relationship between knowledge management in operations and business intelligence systems on the sustainability performance within the tourism industry in Algeria. A total of 126 questionnaires were distributed to the study sample. A multiple regression analysis was used to test the hypotheses of the study. This stu...
Indonesian Journal of Sustainability Accounting and Management
In today’s business context of globalization, competition, knowledge economy, rapid technological... more In today’s business context of globalization, competition, knowledge economy, rapid technological changes, and external environmental factors, knowledge management and business intelligence on the tourism level have received increased attention in an effort to identify smart performance factors and change the structure of organizations. Similarly, the tourism industry has experienced considerable development during recent decades. Moreover, sustainability is becoming increasingly important for society and is especially critical in the operation of the tourism industry. It is well known that sustainability is a prerequisite to carrying out any activity. This evaluates the relationship between knowledge management in operations and business intelligence systems on the sustainability performance within the tourism industry in Algeria. A total of 126 questionnaires were distributed to the study sample. A multiple regression analysis was used to test the hypotheses of the study. This stu...
International Journal of Software Science and Computational Intelligence
In today’s digital era, Twitter’s data has been the focus point among researchers as it provides ... more In today’s digital era, Twitter’s data has been the focus point among researchers as it provides specific data and in a wide variety of fields. Furthermore, Twitter’s daily usage has surged throughout the coronavirus disease (Covid-19) period, presenting a unique opportunity to analyze the content and sentiment of covid-19 tweets. In this paper, a new approach is proposed for the automatic sentiment classification of Covid-19 tweets using the Adaptive Neuro-Fuzzy Inference System (ANFIS) models. The entire process includes data collection, pre-processing, word embedding, sentiment analysis, and classification. Many experiments were accomplished to prove the validity and efficiency of the approach using datasets Covid-19 tweets and it accomplished the data reduction process to achieve considerable size reduction with the preservation of significant dataset's attributes. Our experimental results indicate that fuzzy deep learning achieves the best accuracy (i.e. 0.916) with word em...
Journal of Information Technology Research
Pneumonia is a life-threatening infectious disease affecting one or both lungs in humans. There a... more 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 pneumonia and it needs a medical expert to evaluate the result of X-ray. Furthermore, DL has garnered great attention among researchers in recent years in a variety of application domains such as medical image processing, computer vision, bioinformatics, and many others. In this paper, we present a comparison of Deep Convolutional Neural Networks models for automatically binary classification query chest X-ray & CT images dataset with the goal of taking precision tools to health professionals based on fined recent versions of ResNet50, InceptionV3, and VGGNet. The experiments were conducted using a chest X-ray & CT open dataset of 5856 images...
International Journal of Service Science, Management, Engineering, and Technology, 2022
Social media has revolutionized the way people disclose their personal health concerns and expres... more 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. The aim of this multi-class sentiment classification is to assign the healthcare Tweets automatically into predetermined categories on the basis of their linguistic characteristics, their contents, and some of the words that characterize each category from the others. Briefly, relevant health datasets are collected from Twitter using Twitter API; then, use of the methodology is illustrated and evaluated against one with only three different algorithms was used, to improve the accuracy of Decision Trees, SMO, and K-NN classifiers. Many experiments accomplished to prove the validity and efficiency of the approach using datasets tweets and it accomplished the data reduction process to achieve considerable size reduction with the preservation of sign...
International Journal of Software Innovation, 2022
Brain tumor is a severe cancer disease caused by uncontrollable and abnormal partitioning of cell... more 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 fact, one of the most practical and important techniques is to use deep learning. Recent progress in the fields of deep learning has helped the clinician’s in medical imaging for medical diagnosis of brain tumor. In this paper, we present a comparison of Deep Convolutional Neural Network models for automatically binary classification query MRI images dataset with the goal of taking precision tools to health professionals based on fined recent versions of DenseNet, Xception, NASNet-A, and VGGNet. The experiments were conducted using an MRI open dataset of 3,762 images. Other performance measures used in the study are the area under precision...
Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2019
In an increasingly competitive economic environment, innovation has become an invaluable asset to... more 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 this effect, the innovation processes on KMin education system through knowledge transfer activities will facilitate the shift from teaching as knowledge transmission to teaching as learning facilitation. In this context, we present a new approach based on, the one hand, the critical knowledge mapping being based on an extraction work of the expert knowledge and on the other hand, the description of the conceptual framework design which allows one to exploit and integrate knowledge capitalized and external knowledge by the open innovation process. In addition, this practice makes it possible to examine how KM, in particular, the knowledge m...
Journal of Information Processing Systems, 2013
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015
2015 6th International Conference on Information Systems and Economic Intelligence (SIIE), 2015
The management of knowledge and know-how becomes more and more important in organizations. Buildi... more The management of knowledge and know-how becomes more and more important in organizations. Building corporate memories for conserving and sharing knowledge has become a rather common practice. However, the researches in knowledge management focus mainly on the process of creation, of capitalization, and of transfer of knowledge. Researchers are also centered on the establishment of the process of knowledge management in companies, but little about interaction between the knowledge management process and the risk management process. In this paper, we propose a new approach to integration of the knowledge management process represented by the GAMETH method in the risk management process. We apply our approach on ammonia industry presented by the Algerian-Spanish company - FERTIAL.
2015 6th International Conference on Information Systems and Economic Intelligence (SIIE), 2015
In the context current industrial, the companies consider the knowledge as an important resource ... more 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, on the critical knowledge mapping, respecting the principle of the method MASK, and on the other hand on the exploitation of these capitalized knowledge (mapped) for innovate the production processes using the method TRIZ.
Procedia - Social and Behavioral Sciences, 2015
Procedia - Social and Behavioral Sciences, 2015
Extraction et Gestion des Connaissances, 2010
International Journal of Computer Applications, 2013
Preserve knowledge, retain knowledge, these are the objectives of a scalable enterprise. Knowledg... more Preserve knowledge, retain knowledge, these are the objectives of a scalable enterprise. Knowledge mapping is graphical techniques which allows of preserving and visualizing the patrimony strategic and trades of the domains of knowledge acquired over the years. The approach presented in this paper draws, firstly, on the exploitation of different data sources for improving the process of acquisition of explicit knowledge on an organization. In this sense, our contribution is to produce, from one hand inductive Boolean rules that will feed knowledge base CASI, and from other hand, refinement of Boolean model of the knowledge mapping already achieved by the MASKII method (Critical Knowledge Mapping).
International Journal of E-Business Research
During the recent years, e-commerce has been constantly growing in various industrial sectors. E-... more During the recent years, e-commerce has been constantly growing in various industrial sectors. E-commerce has also changed the buying pattern of customers. E-commerce is a concept that has gained enormous popularity in recent decades. There are a multitude of variants and strategies of e-commerce such as drop shipping, which is renowned for its low cost and high efficiency. However, e-commerce is a new technology that is growing rapidly. It has the ability to create a truly global digital economy. In this research paper, the authors study the state of the drop shipping market for e-commerce in Algeria and the possibility to introduce new models by analyzing different aspects that can have a huge impact on the evolution of drop shipping in e-commerce in order to promote economic development in Algeria. To develop a better understanding, an exploratory study via a structured questionnaire intended for the general Algerian public drop shipper market was carried out.
International Journal of Information Retrieval Research
The textual document set has become an important and rapidly growing information source especiall... more 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, with numerous applications in medical, pharmaceutical, and scientific avenues. Text knowledge management oversees the storage, capture, and sharing of knowledge encoded in hospital reports, primarily chronic disease records. The main objective of this article is to present the design of a model to improve Boolean knowledge mapping by knowledge extraction from medical reports dealing with epidemiological surveillance. This model that the authors have developed in this article is conducted in two major phases. The first is the preprocessing phase that produces an index of words which is the vector binary representation in order to generate ...
Procedia - Social and Behavioral Sciences, 2015
Indonesian Journal of Sustainability Accounting and Management
In today’s business context of globalization, competition, knowledge economy, rapid technological... more In today’s business context of globalization, competition, knowledge economy, rapid technological changes, and external environmental factors, knowledge management and business intelligence on the tourism level have received increased attention in an effort to identify smart performance factors and change the structure of organizations. Similarly, the tourism industry has experienced considerable development during recent decades. Moreover, sustainability is becoming increasingly important for society and is especially critical in the operation of the tourism industry. It is well known that sustainability is a prerequisite to carrying out any activity. This evaluates the relationship between knowledge management in operations and business intelligence systems on the sustainability performance within the tourism industry in Algeria. A total of 126 questionnaires were distributed to the study sample. A multiple regression analysis was used to test the hypotheses of the study. This stu...
Indonesian Journal of Sustainability Accounting and Management
In today’s business context of globalization, competition, knowledge economy, rapid technological... more In today’s business context of globalization, competition, knowledge economy, rapid technological changes, and external environmental factors, knowledge management and business intelligence on the tourism level have received increased attention in an effort to identify smart performance factors and change the structure of organizations. Similarly, the tourism industry has experienced considerable development during recent decades. Moreover, sustainability is becoming increasingly important for society and is especially critical in the operation of the tourism industry. It is well known that sustainability is a prerequisite to carrying out any activity. This evaluates the relationship between knowledge management in operations and business intelligence systems on the sustainability performance within the tourism industry in Algeria. A total of 126 questionnaires were distributed to the study sample. A multiple regression analysis was used to test the hypotheses of the study. This stu...
International Journal of Software Science and Computational Intelligence
In today’s digital era, Twitter’s data has been the focus point among researchers as it provides ... more In today’s digital era, Twitter’s data has been the focus point among researchers as it provides specific data and in a wide variety of fields. Furthermore, Twitter’s daily usage has surged throughout the coronavirus disease (Covid-19) period, presenting a unique opportunity to analyze the content and sentiment of covid-19 tweets. In this paper, a new approach is proposed for the automatic sentiment classification of Covid-19 tweets using the Adaptive Neuro-Fuzzy Inference System (ANFIS) models. The entire process includes data collection, pre-processing, word embedding, sentiment analysis, and classification. Many experiments were accomplished to prove the validity and efficiency of the approach using datasets Covid-19 tweets and it accomplished the data reduction process to achieve considerable size reduction with the preservation of significant dataset's attributes. Our experimental results indicate that fuzzy deep learning achieves the best accuracy (i.e. 0.916) with word em...
Journal of Information Technology Research
Pneumonia is a life-threatening infectious disease affecting one or both lungs in humans. There a... more 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 pneumonia and it needs a medical expert to evaluate the result of X-ray. Furthermore, DL has garnered great attention among researchers in recent years in a variety of application domains such as medical image processing, computer vision, bioinformatics, and many others. In this paper, we present a comparison of Deep Convolutional Neural Networks models for automatically binary classification query chest X-ray & CT images dataset with the goal of taking precision tools to health professionals based on fined recent versions of ResNet50, InceptionV3, and VGGNet. The experiments were conducted using a chest X-ray & CT open dataset of 5856 images...
International Journal of Service Science, Management, Engineering, and Technology, 2022
Social media has revolutionized the way people disclose their personal health concerns and expres... more 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. The aim of this multi-class sentiment classification is to assign the healthcare Tweets automatically into predetermined categories on the basis of their linguistic characteristics, their contents, and some of the words that characterize each category from the others. Briefly, relevant health datasets are collected from Twitter using Twitter API; then, use of the methodology is illustrated and evaluated against one with only three different algorithms was used, to improve the accuracy of Decision Trees, SMO, and K-NN classifiers. Many experiments accomplished to prove the validity and efficiency of the approach using datasets tweets and it accomplished the data reduction process to achieve considerable size reduction with the preservation of sign...
International Journal of Software Innovation, 2022
Brain tumor is a severe cancer disease caused by uncontrollable and abnormal partitioning of cell... more 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 fact, one of the most practical and important techniques is to use deep learning. Recent progress in the fields of deep learning has helped the clinician’s in medical imaging for medical diagnosis of brain tumor. In this paper, we present a comparison of Deep Convolutional Neural Network models for automatically binary classification query MRI images dataset with the goal of taking precision tools to health professionals based on fined recent versions of DenseNet, Xception, NASNet-A, and VGGNet. The experiments were conducted using an MRI open dataset of 3,762 images. Other performance measures used in the study are the area under precision...
Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2019
In an increasingly competitive economic environment, innovation has become an invaluable asset to... more 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 this effect, the innovation processes on KMin education system through knowledge transfer activities will facilitate the shift from teaching as knowledge transmission to teaching as learning facilitation. In this context, we present a new approach based on, the one hand, the critical knowledge mapping being based on an extraction work of the expert knowledge and on the other hand, the description of the conceptual framework design which allows one to exploit and integrate knowledge capitalized and external knowledge by the open innovation process. In addition, this practice makes it possible to examine how KM, in particular, the knowledge m...
Journal of Information Processing Systems, 2013
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015
2015 6th International Conference on Information Systems and Economic Intelligence (SIIE), 2015
The management of knowledge and know-how becomes more and more important in organizations. Buildi... more The management of knowledge and know-how becomes more and more important in organizations. Building corporate memories for conserving and sharing knowledge has become a rather common practice. However, the researches in knowledge management focus mainly on the process of creation, of capitalization, and of transfer of knowledge. Researchers are also centered on the establishment of the process of knowledge management in companies, but little about interaction between the knowledge management process and the risk management process. In this paper, we propose a new approach to integration of the knowledge management process represented by the GAMETH method in the risk management process. We apply our approach on ammonia industry presented by the Algerian-Spanish company - FERTIAL.
2015 6th International Conference on Information Systems and Economic Intelligence (SIIE), 2015
In the context current industrial, the companies consider the knowledge as an important resource ... more 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, on the critical knowledge mapping, respecting the principle of the method MASK, and on the other hand on the exploitation of these capitalized knowledge (mapped) for innovate the production processes using the method TRIZ.
Procedia - Social and Behavioral Sciences, 2015
Procedia - Social and Behavioral Sciences, 2015
Extraction et Gestion des Connaissances, 2010
International Journal of Computer Applications, 2013
Preserve knowledge, retain knowledge, these are the objectives of a scalable enterprise. Knowledg... more Preserve knowledge, retain knowledge, these are the objectives of a scalable enterprise. Knowledge mapping is graphical techniques which allows of preserving and visualizing the patrimony strategic and trades of the domains of knowledge acquired over the years. The approach presented in this paper draws, firstly, on the exploitation of different data sources for improving the process of acquisition of explicit knowledge on an organization. In this sense, our contribution is to produce, from one hand inductive Boolean rules that will feed knowledge base CASI, and from other hand, refinement of Boolean model of the knowledge mapping already achieved by the MASKII method (Critical Knowledge Mapping).
International Journal of E-Business Research
During the recent years, e-commerce has been constantly growing in various industrial sectors. E-... more During the recent years, e-commerce has been constantly growing in various industrial sectors. E-commerce has also changed the buying pattern of customers. E-commerce is a concept that has gained enormous popularity in recent decades. There are a multitude of variants and strategies of e-commerce such as drop shipping, which is renowned for its low cost and high efficiency. However, e-commerce is a new technology that is growing rapidly. It has the ability to create a truly global digital economy. In this research paper, the authors study the state of the drop shipping market for e-commerce in Algeria and the possibility to introduce new models by analyzing different aspects that can have a huge impact on the evolution of drop shipping in e-commerce in order to promote economic development in Algeria. To develop a better understanding, an exploratory study via a structured questionnaire intended for the general Algerian public drop shipper market was carried out.
International Journal of Information Retrieval Research
The textual document set has become an important and rapidly growing information source especiall... more 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, with numerous applications in medical, pharmaceutical, and scientific avenues. Text knowledge management oversees the storage, capture, and sharing of knowledge encoded in hospital reports, primarily chronic disease records. The main objective of this article is to present the design of a model to improve Boolean knowledge mapping by knowledge extraction from medical reports dealing with epidemiological surveillance. This model that the authors have developed in this article is conducted in two major phases. The first is the preprocessing phase that produces an index of words which is the vector binary representation in order to generate ...
Procedia - Social and Behavioral Sciences, 2015