PSR

Cashew bagasse is a non-upgraded agricultural byproduct. In this study, three categories of samples consist of red apple skin (R), yellow apple skin (Y), and a mixture of the pulps (P) …

Cnestis ferruginea, a plant of the connaraceace family, is well known to the West African population, including that of Côte d'Ivoire, through its common use in traditional medicine. The leaves of Cnestis ferruginea are used in traditional African medicine to treat numerous pathologies, including infertility. The present study aims to evaluate the effects of the aqueous extract of Cnestis ferruginea leaves on sexual parameters in male rats. The sexual parameters (latency of mating, latency of intromission, latency of ejaculation and mean copulation interval) were assessed by the classical meth...

Cnestis ferruginea, a plant of the connaraceace family, is well known to the West African population, including that of Côte d'Ivoire, through its common use in traditional medicine. The leaves of Cnestis ferruginea are used in traditional African medicine to treat numerous pathologies, including infertility. The present study aims to evaluate the effects of the aqueous extract of Cnestis ferruginea leaves on sexual parameters in male rats. The sexual parameters (latency of mating, latency of intromission, latency of ejaculation and mean copulation interval) were assessed by the classical meth...

Cnestis ferruginea, a plant of the connaraceace family, is well known to the West African population, including that of Côte d'Ivoire, through its common use in traditional medicine. The leaves of Cnestis ferruginea are used in traditional African medicine to treat numerous pathologies, including infertility. The present study aims to evaluate the effects of the aqueous extract of Cnestis ferruginea leaves on sexual parameters in male rats. The sexual parameters (latency of mating, latency of intromission, latency of ejaculation and mean copulation interval) were assessed by the classical meth...

Cnestis ferruginea, a plant of the connaraceace family, is well known to the West African population, including that of Côte d'Ivoire, through its common use in traditional medicine. The leaves of Cnestis ferruginea are used in traditional African medicine to treat numerous pathologies, including infertility. The present study aims to evaluate the effects of the aqueous extract of Cnestis ferruginea leaves on sexual parameters in male rats. The sexual parameters (latency of mating, latency of intromission, latency of ejaculation and mean copulation interval) were assessed by the classical meth...

Cnestis ferruginea, a plant of the connaraceace family, is well known to the West African population, including that of Côte d'Ivoire, through its common use in traditional medicine. The leaves of Cnestis ferruginea are used in traditional African medicine to treat numerous pathologies, including infertility. The present study aims to evaluate the effects of the aqueous extract of Cnestis ferruginea leaves on sexual parameters in male rats. The sexual parameters (latency of mating, latency of intromission, latency of ejaculation and mean copulation interval) were assessed by the classical meth...

Cnestis ferruginea, a plant of the connaraceace family, is well known to the West African population, including that of Côte d'Ivoire, through its common use in traditional medicine. The leaves of Cnestis ferruginea are used in traditional African medicine to treat numerous pathologies, including infertility. The present study aims to evaluate the effects of the aqueous extract of Cnestis ferruginea leaves on sexual parameters in male rats. The sexual parameters (latency of mating, latency of intromission, latency of ejaculation and mean copulation interval) were assessed by the classical meth...

Mango consumers only use pulp and consider the kernel as wastes. This study aims to valorize the kernel of mango (Mangifera indica). In this study, the kernel of ten mango varieties (Ruby, Kent, Retard, Key, Assabony, Smith tête de chat, Smith normal, Palmer, Governeur and Aravia) collected at Yamoussoukro in the center of Cote d'Ivoire were used. The oils of these kernels were extracted by maceration method. Their physicochemical properties were determinate using standard methods. The yields of oils extracted are higher than 10%. The acid value of these oils varies from 2.50±0.25 to 27.06±0.3...

Mango consumers only use pulp and consider the kernel as wastes. This study aims to valorize the kernel of mango (Mangifera indica). In this study, the kernel of ten mango varieties (Ruby, Kent, Retard, Key, Assabony, Smith tête de chat, Smith normal, Palmer, Governeur and Aravia) collected at Yamoussoukro in the center of Cote d'Ivoire were used. The oils of these kernels were extracted by maceration method. Their physicochemical properties were determinate using standard methods. The yields of oils extracted are higher than 10%. The acid value of these oils varies from 2.50±0.25 to 27.06±0.3...

Mango consumers only use pulp and consider the kernel as wastes. This study aims to valorize the kernel of mango (Mangifera indica). In this study, the kernel of ten mango varieties (Ruby, Kent, Retard, Key, Assabony, Smith tête de chat, Smith normal, Palmer, Governeur and Aravia) collected at Yamoussoukro in the center of Cote d'Ivoire were used. The oils of these kernels were extracted by maceration method. Their physicochemical properties were determinate using standard methods. The yields of oils extracted are higher than 10%. The acid value of these oils varies from 2.50±0.25 to 27.06±0.3...

Mango consumers only use pulp and consider the kernel as wastes. This study aims to valorize the kernel of mango (Mangifera indica). In this study, the kernel of ten mango varieties (Ruby, Kent, Retard, Key, Assabony, Smith tête de chat, Smith normal, Palmer, Governeur and Aravia) collected at Yamoussoukro in the center of Cote d'Ivoire were used. The oils of these kernels were extracted by maceration method. Their physicochemical properties were determinate using standard methods. The yields of oils extracted are higher than 10%. The acid value of these oils varies from 2.50±0.25 to 27.06±0.3...

L'extraction des métabolites secondaires des feuilles de Hyptis suaveolens avant et après extraction de son huile essentielle a été réalisée par macération avec un mélange éthanol-…

L'émergence de bactéries multirésistantes aux antibiotiques est l'un des problèmes de santé de ces dernières décennies . Parmi les solutions à ce problème, on trouve les métabolites secondaires des plantes médicinales…

L'émergence de bactéries multirésistantes aux antibiotiques est l'un des problèmes de santé de ces dernières décennies . Parmi les solutions à ce problème, on trouve les métabolites secondaires des plantes médicinales…

L'émergence de bactéries multirésistantes aux antibiotiques est l'un des problèmes de santé de ces dernières décennies . Parmi les solutions à ce problème, on trouve les métabolites secondaires des plantes médicinales…

L'émergence de bactéries multirésistantes aux antibiotiques est l'un des problèmes de santé de ces dernières décennies . Parmi les solutions à ce problème, on trouve les métabolites secondaires des plantes médicinales…

L'émergence de bactéries multirésistantes aux antibiotiques est l'un des problèmes de santé de ces dernières décennies . Parmi les solutions à ce problème, on trouve les métabolites secondaires des plantes médicinales…

L'émergence de bactéries multirésistantes aux antibiotiques est l'un des problèmes de santé de ces dernières décennies . Parmi les solutions à ce problème, on trouve les métabolites secondaires des plantes médicinales…

Une étude des facteurs influençant le rendement d'extraction a été déterminée sur les feuilles de Alchornea cordifolia et sur la plante entière de Tridax procumbens. Le plan de criblage a

Une étude des facteurs influençant le rendement d'extraction a été déterminée sur les feuilles de Alchornea cordifolia et sur la plante entière de Tridax procumbens. Le plan de criblage a

Les technologies utilisées dans le secteur de la pêche sont devenues plus performantes, ne serait-ce que pour répondre aux besoins d'une population en constante augmentation. Cela a des conséquences considérables sur la gestion durable des ressources vivantes…

Les technologies utilisées dans le secteur de la pêche sont devenues plus performantes, ne serait-ce que pour répondre aux besoins d'une population en constante augmentation. Cela a des conséquences considérables sur la gestion durable des ressources vivantes…

Les technologies utilisées dans le secteur de la pêche sont devenues plus performantes, ne serait-ce que pour répondre aux besoins d'une population en constante augmentation. Cela a des conséquences considérables sur la gestion durable des ressources vivantes…

Les technologies utilisées dans le secteur de la pêche sont devenues plus performantes, ne serait-ce que pour répondre aux besoins d'une population en constante augmentation. Cela a des conséquences considérables sur la gestion durable des ressources vivantes…

Objectif : Évaluer in vitro l'activité antifongique des extraits totaux des feuilles de Hugonia platysepala, plante médicinale du sud-ouest de la Côte d'Ivoire afin de traiter à moindre coût, …

Dans de nombreuses applications, la présence de reflets spéculaires constitue une information perturbatrice. Son élimination dépend fortement de l'efficacité de sa détection. Dans cet article, nous proposons une nouvelle approche…

Dans de nombreuses applications, la présence de reflets spéculaires constitue une information perturbatrice. Son élimination dépend fortement de l'efficacité de sa détection. Dans cet article, nous proposons une nouvelle approche…

Dans de nombreuses applications, la présence de reflets spéculaires constitue une information perturbatrice. Son élimination dépend fortement de l'efficacité de sa détection. Dans cet article, nous proposons une nouvelle approche…

Dans de nombreuses applications, la présence de reflets spéculaires constitue une information perturbatrice. Son élimination dépend fortement de l'efficacité de sa détection. Dans cet article, nous proposons une nouvelle approche…

Dans les méthodes de retouche par patchs, l'ordre de remplissage des zones à restaurer est primordial. Cet ordre est défini par une fonction de priorité intégrant deux paramètres : …

Dans les méthodes de retouche par patchs, l'ordre de remplissage des zones à restaurer est primordial. Cet ordre est défini par une fonction de priorité intégrant deux paramètres : …

Dans les méthodes de retouche par patchs, l'ordre de remplissage des zones à restaurer est primordial. Cet ordre est défini par une fonction de priorité intégrant deux paramètres : …

Dans les méthodes de retouche par patchs, l'ordre de remplissage des zones à restaurer est primordial. Cet ordre est défini par une fonction de priorité intégrant deux paramètres : …

Internet permet la création et la publication de contenus générés par l'utilisateur, ainsi que l'interaction entre utilisateurs. Compte tenu de l'accessibilité de ces moyens de communication et de leur…

Internet permet la création et la publication de contenus générés par l'utilisateur, ainsi que l'interaction entre utilisateurs. Compte tenu de l'accessibilité de ces moyens de communication et de leur…

Internet permet la création et la publication de contenus générés par l'utilisateur, ainsi que l'interaction entre utilisateurs. Compte tenu de l'accessibilité de ces moyens de communication et de leur…

Internet permet la création et la publication de contenus générés par l'utilisateur, ainsi que l'interaction entre utilisateurs. Compte tenu de l'accessibilité de ces moyens de communication et de leur…

Abstract—In this article, we present a chatbot model that can automatically respond to learners’ concerns on an online training platform. The proposed chatbot model is based on an adaptation of the similarity of Dice to understand the concerns of learners. The first phase of this approach allows selecting the preestablished concerns that the teacher has in a knowledge base which are closest to those posed by the learner. The second phase consists of selecting among these k most appropriate concerns based on a measure of similarity built on the concept of domain keywords. The experiment...

Abstract—In this article, we present a chatbot model that can automatically respond to learners’ concerns on an online training platform. The proposed chatbot model is based on an adaptation of the similarity of Dice to understand the concerns of learners. The first phase of this approach allows selecting the preestablished concerns that the teacher has in a knowledge base which are closest to those posed by the learner. The second phase consists of selecting among these k most appropriate concerns based on a measure of similarity built on the concept of domain keywords. The experiment...

Abstract—In this article, we present a chatbot model that can automatically respond to learners’ concerns on an online training platform. The proposed chatbot model is based on an adaptation of the similarity of Dice to understand the concerns of learners. The first phase of this approach allows selecting the preestablished concerns that the teacher has in a knowledge base which are closest to those posed by the learner. The second phase consists of selecting among these k most appropriate concerns based on a measure of similarity built on the concept of domain keywords. The experiment...

Abstract—In this article, we present a chatbot model that can automatically respond to learners’ concerns on an online training platform. The proposed chatbot model is based on an adaptation of the similarity of Dice to understand the concerns of learners. The first phase of this approach allows selecting the preestablished concerns that the teacher has in a knowledge base which are closest to those posed by the learner. The second phase consists of selecting among these k most appropriate concerns based on a measure of similarity built on the concept of domain keywords. The experiment...

Abstract—In this article, we present a chatbot model that can automatically respond to learners’ concerns on an online training platform. The proposed chatbot model is based on an adaptation of the similarity of Dice to understand the concerns of learners. The first phase of this approach allows selecting the preestablished concerns that the teacher has in a knowledge base which are closest to those posed by the learner. The second phase consists of selecting among these k most appropriate concerns based on a measure of similarity built on the concept of domain keywords. The experiment...

L'efficacité des systèmes de recommandation dépend de la performance des algorithmes qui les composent. La qualité des algorithmes dépend de la qualité des stratégies qui les ont conçus. Ces stratégies varient d'un auteur à l'autre. Concevoir un bon système de recommandation implique donc de mettre en œuvre les bonnes stratégies. C'est dans ce contexte que plusieurs travaux de recherche ont été proposés sur diverses stratégies appliquées aux algorithmes pour répondre aux besoins de recommandation. Les chercheurs tentent sans cesse d'atteindre cet objectif de recherche des qualités des algorith...

L'efficacité des systèmes de recommandation dépend de la performance des algorithmes qui les composent. La qualité des algorithmes dépend de la qualité des stratégies qui les ont conçus. Ces stratégies varient d'un auteur à l'autre. Concevoir un bon système de recommandation implique donc de mettre en œuvre les bonnes stratégies. C'est dans ce contexte que plusieurs travaux de recherche ont été proposés sur diverses stratégies appliquées aux algorithmes pour répondre aux besoins de recommandation. Les chercheurs tentent sans cesse d'atteindre cet objectif de recherche des qualités des algorith...

L'efficacité des systèmes de recommandation dépend de la performance des algorithmes qui les composent. La qualité des algorithmes dépend de la qualité des stratégies qui les ont conçus. Ces stratégies varient d'un auteur à l'autre. Concevoir un bon système de recommandation implique donc de mettre en œuvre les bonnes stratégies. C'est dans ce contexte que plusieurs travaux de recherche ont été proposés sur diverses stratégies appliquées aux algorithmes pour répondre aux besoins de recommandation. Les chercheurs tentent sans cesse d'atteindre cet objectif de recherche des qualités des algorith...

L'efficacité des systèmes de recommandation dépend de la performance des algorithmes qui les composent. La qualité des algorithmes dépend de la qualité des stratégies qui les ont conçus. Ces stratégies varient d'un auteur à l'autre. Concevoir un bon système de recommandation implique donc de mettre en œuvre les bonnes stratégies. C'est dans ce contexte que plusieurs travaux de recherche ont été proposés sur diverses stratégies appliquées aux algorithmes pour répondre aux besoins de recommandation. Les chercheurs tentent sans cesse d'atteindre cet objectif de recherche des qualités des algorith...

L'efficacité des systèmes de recommandation dépend de la performance des algorithmes qui les composent. La qualité des algorithmes dépend de la qualité des stratégies qui les ont conçus. Ces stratégies varient d'un auteur à l'autre. Concevoir un bon système de recommandation implique donc de mettre en œuvre les bonnes stratégies. C'est dans ce contexte que plusieurs travaux de recherche ont été proposés sur diverses stratégies appliquées aux algorithmes pour répondre aux besoins de recommandation. Les chercheurs tentent sans cesse d'atteindre cet objectif de recherche des qualités des algorith...

L'efficacité des systèmes de recommandation dépend de la performance des algorithmes qui les composent. La qualité des algorithmes dépend de la qualité des stratégies qui les ont conçus. Ces stratégies varient d'un auteur à l'autre. Concevoir un bon système de recommandation implique donc de mettre en œuvre les bonnes stratégies. C'est dans ce contexte que plusieurs travaux de recherche ont été proposés sur diverses stratégies appliquées aux algorithmes pour répondre aux besoins de recommandation. Les chercheurs tentent sans cesse d'atteindre cet objectif de recherche des qualités des algorith...

L'efficacité des systèmes de recommandation dépend de la performance des algorithmes qui les composent. La qualité des algorithmes dépend de la qualité des stratégies qui les ont conçus. Ces stratégies varient d'un auteur à l'autre. Concevoir un bon système de recommandation implique donc de mettre en œuvre les bonnes stratégies. C'est dans ce contexte que plusieurs travaux de recherche ont été proposés sur diverses stratégies appliquées aux algorithmes pour répondre aux besoins de recommandation. Les chercheurs tentent sans cesse d'atteindre cet objectif de recherche des qualités des algorith...

L'efficacité des systèmes de recommandation dépend de la performance des algorithmes qui les composent. La qualité des algorithmes dépend de la qualité des stratégies qui les ont conçus. Ces stratégies varient d'un auteur à l'autre. Concevoir un bon système de recommandation implique donc de mettre en œuvre les bonnes stratégies. C'est dans ce contexte que plusieurs travaux de recherche ont été proposés sur diverses stratégies appliquées aux algorithmes pour répondre aux besoins de recommandation. Les chercheurs tentent sans cesse d'atteindre cet objectif de recherche des qualités des algorith...

L'efficacité des systèmes de recommandation dépend de la performance des algorithmes qui les composent. La qualité des algorithmes dépend de la qualité des stratégies qui les ont conçus. Ces stratégies varient d'un auteur à l'autre. Concevoir un bon système de recommandation implique donc de mettre en œuvre les bonnes stratégies. C'est dans ce contexte que plusieurs travaux de recherche ont été proposés sur diverses stratégies appliquées aux algorithmes pour répondre aux besoins de recommandation. Les chercheurs tentent sans cesse d'atteindre cet objectif de recherche des qualités des algorith...

L'efficacité des systèmes de recommandation dépend de la performance des algorithmes qui les composent. La qualité des algorithmes dépend de la qualité des stratégies qui les ont conçus. Ces stratégies varient d'un auteur à l'autre. Concevoir un bon système de recommandation implique donc de mettre en œuvre les bonnes stratégies. C'est dans ce contexte que plusieurs travaux de recherche ont été proposés sur diverses stratégies appliquées aux algorithmes pour répondre aux besoins de recommandation. Les chercheurs tentent sans cesse d'atteindre cet objectif de recherche des qualités des algorith...

Abstract—Belief entropy, which represents the uncertainty measure between several pieces of evidence in the DempsterShafer framework, is attracting increasing interest in research. It has been used in many applications and is mainly based on the theory of evidence. To quantify uncertainty, several measures have been proposed in the literature. These measures, sometimes in extended or hybrid forms, use the Shannon entropy principle to determine uncertainty degree. However, the failure to consider the scale of the frame of discernment framework remains an open issue in quantifying uncert...

Abstract—Belief entropy, which represents the uncertainty measure between several pieces of evidence in the DempsterShafer framework, is attracting increasing interest in research. It has been used in many applications and is mainly based on the theory of evidence. To quantify uncertainty, several measures have been proposed in the literature. These measures, sometimes in extended or hybrid forms, use the Shannon entropy principle to determine uncertainty degree. However, the failure to consider the scale of the frame of discernment framework remains an open issue in quantifying uncert...

Abstract—Belief entropy, which represents the uncertainty measure between several pieces of evidence in the DempsterShafer framework, is attracting increasing interest in research. It has been used in many applications and is mainly based on the theory of evidence. To quantify uncertainty, several measures have been proposed in the literature. These measures, sometimes in extended or hybrid forms, use the Shannon entropy principle to determine uncertainty degree. However, the failure to consider the scale of the frame of discernment framework remains an open issue in quantifying uncert...

Abstract—Belief entropy, which represents the uncertainty measure between several pieces of evidence in the DempsterShafer framework, is attracting increasing interest in research. It has been used in many applications and is mainly based on the theory of evidence. To quantify uncertainty, several measures have been proposed in the literature. These measures, sometimes in extended or hybrid forms, use the Shannon entropy principle to determine uncertainty degree. However, the failure to consider the scale of the frame of discernment framework remains an open issue in quantifying uncert...

Abstract—Belief entropy, which represents the uncertainty measure between several pieces of evidence in the DempsterShafer framework, is attracting increasing interest in research. It has been used in many applications and is mainly based on the theory of evidence. To quantify uncertainty, several measures have been proposed in the literature. These measures, sometimes in extended or hybrid forms, use the Shannon entropy principle to determine uncertainty degree. However, the failure to consider the scale of the frame of discernment framework remains an open issue in quantifying uncert...

Today, operators use reconfiguration to improve the performance of connection oriented networks. In our previous work, we studied tree reconfiguration without data flow interruption in wavelength division multiplexing optical networks. In our previous approach, the available resources of the network (wavelengths) are not considered as limited. In this work, we study tree reconfiguration in a network which has a limited number of wavelengths per link. This paper proposes an algorithm called TRwRC (Tree reconfiguration with resources constraint). TRwRC reconfigures a tree without data flow inter...

Today, operators use reconfiguration to improve the performance of connection oriented networks. In our previous work, we studied tree reconfiguration without data flow interruption in wavelength division multiplexing optical networks. In our previous approach, the available resources of the network (wavelengths) are not considered as limited. In this work, we study tree reconfiguration in a network which has a limited number of wavelengths per link. This paper proposes an algorithm called TRwRC (Tree reconfiguration with resources constraint). TRwRC reconfigures a tree without data flow inter...

Today, operators use reconfiguration to improve the performance of connection oriented networks. In our previous work, we studied tree reconfiguration without data flow interruption in wavelength division multiplexing optical networks. In our previous approach, the available resources of the network (wavelengths) are not considered as limited. In this work, we study tree reconfiguration in a network which has a limited number of wavelengths per link. This paper proposes an algorithm called TRwRC (Tree reconfiguration with resources constraint). TRwRC reconfigures a tree without data flow inter...

Today, operators use reconfiguration to improve the performance of connection oriented networks. In our previous work, we studied tree reconfiguration without data flow interruption in wavelength division multiplexing optical networks. In our previous approach, the available resources of the network (wavelengths) are not considered as limited. In this work, we study tree reconfiguration in a network which has a limited number of wavelengths per link. This paper proposes an algorithm called TRwRC (Tree reconfiguration with resources constraint). TRwRC reconfigures a tree without data flow inter...

Today, operators use reconfiguration to improve the performance of connection oriented networks. In our previous work, we studied tree reconfiguration without data flow interruption in wavelength division multiplexing optical networks. In our previous approach, the available resources of the network (wavelengths) are not considered as limited. In this work, we study tree reconfiguration in a network which has a limited number of wavelengths per link. This paper proposes an algorithm called TRwRC (Tree reconfiguration with resources constraint). TRwRC reconfigures a tree without data flow inter...

Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a network learns a function with very high variance such as to perfectly model the training data. Unfortunately, many application domains do not have access to big data, such as medical image analysis. This survey focuses on Data Augmentation, a data-space solution to the problem of limited data. Data Augmentation encompasses a suite of techniques that enhance the size and quality...

Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a network learns a function with very high variance such as to perfectly model the training data. Unfortunately, many application domains do not have access to big data, such as medical image analysis. This survey focuses on Data Augmentation, a data-space solution to the problem of limited data. Data Augmentation encompasses a suite of techniques that enhance the size and quality...

The information disseminated by online media is often presented in the form of images, in order to quickly captivate readers and increase audience ratings. However, these images can be manipulated for malicious purposes, such as influencing public opinion, undermining media credibility, disrupting democratic processes or creating conflict within society. Various approaches, whether relying on manually developed features or deep learning, have been devised to detect falsified images. However, they frequently prove less effective when confronted with widespread and multiple manipulations...

The information disseminated by online media is often presented in the form of images, in order to quickly captivate readers and increase audience ratings. However, these images can be manipulated for malicious purposes, such as influencing public opinion, undermining media credibility, disrupting democratic processes or creating conflict within society. Various approaches, whether relying on manually developed features or deep learning, have been devised to detect falsified images. However, they frequently prove less effective when confronted with widespread and multiple manipulations...

The information disseminated by online media is often presented in the form of images, in order to quickly captivate readers and increase audience ratings. However, these images can be manipulated for malicious purposes, such as influencing public opinion, undermining media credibility, disrupting democratic processes or creating conflict within society. Various approaches, whether relying on manually developed features or deep learning, have been devised to detect falsified images. However, they frequently prove less effective when confronted with widespread and multiple manipulations...

The information disseminated by online media is often presented in the form of images, in order to quickly captivate readers and increase audience ratings. However, these images can be manipulated for malicious purposes, such as influencing public opinion, undermining media credibility, disrupting democratic processes or creating conflict within society. Various approaches, whether relying on manually developed features or deep learning, have been devised to detect falsified images. However, they frequently prove less effective when confronted with widespread and multiple manipulations...

Les embouteillages constituent un problème majeur dans les villes modernes. En augmentant les retards et la pollution, les embouteillages limitent la mobilité et constituent une menace pour la santé publique. En particulier, à proximité…

Les embouteillages constituent un problème majeur dans les villes modernes. En augmentant les retards et la pollution, les embouteillages limitent la mobilité et constituent une menace pour la santé publique. En particulier, à proximité…

Les embouteillages constituent un problème majeur dans les villes modernes. En augmentant les retards et la pollution, les embouteillages limitent la mobilité et constituent une menace pour la santé publique. En particulier, à proximité…

Cybersecurity protects and recovers computer systems and networks from cyber attacks. The importance of cybersecurity is growing commensurately with people's increasing reliance on technology. An anomaly detection-based network intrusion detection system is essential to any security framework within a computer network. In this article, we propose two models based on deep learning to address the binary and multiclass classification of network attacks. We use a convolutional neural network architecture for our models. In addition, a hybrid two-step preprocessing approach is proposed to generate...

Cybersecurity protects and recovers computer systems and networks from cyber attacks. The importance of cybersecurity is growing commensurately with people's increasing reliance on technology. An anomaly detection-based network intrusion detection system is essential to any security framework within a computer network. In this article, we propose two models based on deep learning to address the binary and multiclass classification of network attacks. We use a convolutional neural network architecture for our models. In addition, a hybrid two-step preprocessing approach is proposed to generate...

Intrusion Detection Systems (IDS) are essential for computer security, with various techniques developed over time. However, many of these methods suffer from high false positive rates. To address this, we propose an approach utilizing Recurrent Neural Networks (RNN). Our method starts by reducing the dataset’s dimensionality using a Deep Auto-Encoder (DAE), followed by intrusion detection through a Bidirectional Long Short-Term Memory (BiLSTM) network. The proposed DAE-BiLSTM model outperforms Random Forest, AdaBoost, and standard BiLSTM models, achieving an accuracy of 0.97, a recall of 0.95...

Intrusion Detection Systems (IDS) are essential for computer security, with various techniques developed over time. However, many of these methods suffer from high false positive rates. To address this, we propose an approach utilizing Recurrent Neural Networks (RNN). Our method starts by reducing the dataset’s dimensionality using a Deep Auto-Encoder (DAE), followed by intrusion detection through a Bidirectional Long Short-Term Memory (BiLSTM) network. The proposed DAE-BiLSTM model outperforms Random Forest, AdaBoost, and standard BiLSTM models, achieving an accuracy of 0.97, a recall of 0.95...

Intrusion Detection Systems (IDS) are essential for computer security, with various techniques developed over time. However, many of these methods suffer from high false positive rates. To address this, we propose an approach utilizing Recurrent Neural Networks (RNN). Our method starts by reducing the dataset’s dimensionality using a Deep Auto-Encoder (DAE), followed by intrusion detection through a Bidirectional Long Short-Term Memory (BiLSTM) network. The proposed DAE-BiLSTM model outperforms Random Forest, AdaBoost, and standard BiLSTM models, achieving an accuracy of 0.97, a recall of 0.95...

Intrusion Detection Systems (IDS) are essential for computer security, with various techniques developed over time. However, many of these methods suffer from high false positive rates. To address this, we propose an approach utilizing Recurrent Neural Networks (RNN). Our method starts by reducing the dataset’s dimensionality using a Deep Auto-Encoder (DAE), followed by intrusion detection through a Bidirectional Long Short-Term Memory (BiLSTM) network. The proposed DAE-BiLSTM model outperforms Random Forest, AdaBoost, and standard BiLSTM models, achieving an accuracy of 0.97, a recall of 0.95...

Intrusion Detection Systems (IDS) are essential for computer security, with various techniques developed over time. However, many of these methods suffer from high false positive rates. To address this, we propose an approach utilizing Recurrent Neural Networks (RNN). Our method starts by reducing the dataset’s dimensionality using a Deep Auto-Encoder (DAE), followed by intrusion detection through a Bidirectional Long Short-Term Memory (BiLSTM) network. The proposed DAE-BiLSTM model outperforms Random Forest, AdaBoost, and standard BiLSTM models, achieving an accuracy of 0.97, a recall of 0.95...

In a wireless sensor network, eliminating redundancies in area coverage in the deployment zone represents a major challenge where the stake is its lifetime increase. Current works dealing with this topic use different deterministic or probabilistic techniques for nodes redundancies check. In this paper, we propose a quasi-quadratic time distributed algorithm based on a deterministic approach enabling each node to know its exact status even in the context of heterogeneous sensing ranges. Simulations show that this novel technique is more accurate and precise in comparison with other tr...

In a wireless sensor network, eliminating redundancies in area coverage in the deployment zone represents a major challenge where the stake is its lifetime increase. Current works dealing with this topic use different deterministic or probabilistic techniques for nodes redundancies check. In this paper, we propose a quasi-quadratic time distributed algorithm based on a deterministic approach enabling each node to know its exact status even in the context of heterogeneous sensing ranges. Simulations show that this novel technique is more accurate and precise in comparison with other tr...

In a wireless sensor network, eliminating redundancies in area coverage in the deployment zone represents a major challenge where the stake is its lifetime increase. Current works dealing with this topic use different deterministic or probabilistic techniques for nodes redundancies check. In this paper, we propose a quasi-quadratic time distributed algorithm based on a deterministic approach enabling each node to know its exact status even in the context of heterogeneous sensing ranges. Simulations show that this novel technique is more accurate and precise in comparison with other tr...

Reconfiguration of all-optical WDM networks is an important task performed by the network operators to re-optimize the allocation of network resources. Multicast applications such as video conference and telemedicine are increasingly in demand on the network. Thus, our study focuses on the reconfiguration of multicast connection paths. A multicast connection path is supposed to be a light-tree. The reconfiguration problem studied here is to find a sequence of configurations with minimum cost that allows to migrate an optical flow from a current configuration of a set of light-trees to a final...

Reconfiguration of all-optical WDM networks is an important task performed by the network operators to re-optimize the allocation of network resources. Multicast applications such as video conference and telemedicine are increasingly in demand on the network. Thus, our study focuses on the reconfiguration of multicast connection paths. A multicast connection path is supposed to be a light-tree. The reconfiguration problem studied here is to find a sequence of configurations with minimum cost that allows to migrate an optical flow from a current configuration of a set of light-trees to a final...

Reconfiguration of all-optical WDM networks is an important task performed by the network operators to re-optimize the allocation of network resources. Multicast applications such as video conference and telemedicine are increasingly in demand on the network. Thus, our study focuses on the reconfiguration of multicast connection paths. A multicast connection path is supposed to be a light-tree. The reconfiguration problem studied here is to find a sequence of configurations with minimum cost that allows to migrate an optical flow from a current configuration of a set of light-trees to a final...

Reconfiguration of all-optical WDM networks is an important task performed by the network operators to re-optimize the allocation of network resources. Multicast applications such as video conference and telemedicine are increasingly in demand on the network. Thus, our study focuses on the reconfiguration of multicast connection paths. A multicast connection path is supposed to be a light-tree. The reconfiguration problem studied here is to find a sequence of configurations with minimum cost that allows to migrate an optical flow from a current configuration of a set of light-trees to a final...

Abstract—This paper addresses a production and distribution problem in a supply chain. The supply chain consists of a plant with no storage capacity that produces only one type of product. The manufactured products are then transported to a depot for storage. Customers demand is met by a homogeneous fleet of vehicles that begins and ends their trips at the depot. The objective of the study is to minimize the overall cost of production, inventory and transport throughout the supply chain. A Branch-and-Cut and a hybrid Two Phases Decomposition Heuristic using a Mixed Integer Programming...

Abstract—This paper addresses a production and distribution problem in a supply chain. The supply chain consists of a plant with no storage capacity that produces only one type of product. The manufactured products are then transported to a depot for storage. Customers demand is met by a homogeneous fleet of vehicles that begins and ends their trips at the depot. The objective of the study is to minimize the overall cost of production, inventory and transport throughout the supply chain. A Branch-and-Cut and a hybrid Two Phases Decomposition Heuristic using a Mixed Integer Programming...

Abstract—This paper addresses a production and distribution problem in a supply chain. The supply chain consists of a plant with no storage capacity that produces only one type of product. The manufactured products are then transported to a depot for storage. Customers demand is met by a homogeneous fleet of vehicles that begins and ends their trips at the depot. The objective of the study is to minimize the overall cost of production, inventory and transport throughout the supply chain. A Branch-and-Cut and a hybrid Two Phases Decomposition Heuristic using a Mixed Integer Programming...

Abstract—This paper addresses a production and distribution problem in a supply chain. The supply chain consists of a plant with no storage capacity that produces only one type of product. The manufactured products are then transported to a depot for storage. Customers demand is met by a homogeneous fleet of vehicles that begins and ends their trips at the depot. The objective of the study is to minimize the overall cost of production, inventory and transport throughout the supply chain. A Branch-and-Cut and a hybrid Two Phases Decomposition Heuristic using a Mixed Integer Programming...

La localisation des capteurs sans fil est un aspect très important des réseaux de capteurs sans fil (WSN) car elle détermine le bon fonctionnement et la durée de vie des capteurs sans fil qui…

La localisation des capteurs sans fil est un aspect très important des réseaux de capteurs sans fil (WSN) car elle détermine le bon fonctionnement et la durée de vie des capteurs sans fil qui…

La localisation des capteurs sans fil est un aspect très important des réseaux de capteurs sans fil (WSN) car elle détermine le bon fonctionnement et la durée de vie des capteurs sans fil qui…

Contrairement aux réseaux traditionnels, les réseaux définis par logiciel (SDN) se caractérisent par une séparation physique du contrôle et du plan de transfert. Ainsi, un contrôleur centralisé communique les fonctions du plan de contrôle à chaque appareil via le protocole OpenFlow dès qu'il le lui demande ou qu'il le juge approprié. Cela a un impact important sur le temps de latence, un facteur important pour les nouveaux services ou les applications multimédias. Afin d'optimiser le temps de transmission des données réseau avec le SDN, une approche proactive basée sur l'algorithme de contre-p...