The Experts below are selected from a list of 769308 Experts worldwide ranked by ideXlab platform
Yves Roudier - One of the best experts on this subject based on the ideXlab platform.
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A cloud adoption risk Assessment Model
Proceedings - 2014 IEEE ACM 7th International Conference on Utility and Cloud Computing UCC 2014, 2014Co-Authors: Erdal Cayirci, Alexandr Garaga, Anderson Santana De Oliveira, Yves RoudierAbstract:—Cloud Adoption Risk Assessment Model is designed for cloud customers to assess the risks that they face by selecting a specific cloud service provider. It is an expert system to evaluate various background information obtained from cloud customers, cloud service providers and other public external sources, and to analyze various risk scenarios. This would facilitate cloud customers in making informed decision to select the cloud service provider with the most preferable risk profile.
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UCC - A Cloud Adoption Risk Assessment Model
2014 IEEE ACM 7th International Conference on Utility and Cloud Computing, 2014Co-Authors: Erdal Cayirci, Alexandr Garaga, Anderson Santana, Yves RoudierAbstract:Cloud Adoption Risk Assessment Model is designed for cloud customers to assess the risks that they face by selecting a specific cloud service provider. It is an expert system to evaluate various background information obtained from cloud customers, cloud service providers and other public external sources, and to analyze various risk scenarios. This would facilitate cloud customers in making informed decision to select the cloud service provider with the most preferable risk profile.
Erdal Cayirci - One of the best experts on this subject based on the ideXlab platform.
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A cloud adoption risk Assessment Model
Proceedings - 2014 IEEE ACM 7th International Conference on Utility and Cloud Computing UCC 2014, 2014Co-Authors: Erdal Cayirci, Alexandr Garaga, Anderson Santana De Oliveira, Yves RoudierAbstract:—Cloud Adoption Risk Assessment Model is designed for cloud customers to assess the risks that they face by selecting a specific cloud service provider. It is an expert system to evaluate various background information obtained from cloud customers, cloud service providers and other public external sources, and to analyze various risk scenarios. This would facilitate cloud customers in making informed decision to select the cloud service provider with the most preferable risk profile.
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UCC - A Cloud Adoption Risk Assessment Model
2014 IEEE ACM 7th International Conference on Utility and Cloud Computing, 2014Co-Authors: Erdal Cayirci, Alexandr Garaga, Anderson Santana, Yves RoudierAbstract:Cloud Adoption Risk Assessment Model is designed for cloud customers to assess the risks that they face by selecting a specific cloud service provider. It is an expert system to evaluate various background information obtained from cloud customers, cloud service providers and other public external sources, and to analyze various risk scenarios. This would facilitate cloud customers in making informed decision to select the cloud service provider with the most preferable risk profile.
Daniel E. Duplisea - One of the best experts on this subject based on the ideXlab platform.
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SPAM (Sex-Structured Pandalus Assessment Model): a stock Assessment Model for Pandalus stocks
Canadian Journal of Fisheries and Aquatic Sciences, 2012Co-Authors: Hilaire Drouineau, Louise Savard, Mathieu Desgagnés, Daniel E. DupliseaAbstract:Despite the economic importance of Pandalus shrimp fisheries, few analytical tools have been developed to assess their stocks, and traditional stock Assessment Models are not appropriate because of biological specificities of Pandalus species. In this context, we propose SPAM (Sex-Structured Pandalus Assessment Model), a Model dedicated to protandric hermaphrodite pandalids stock Assessment. Pandalids are difficult to assess because the cues affecting sex change, size at recruitment, and mortality variability are not well understood or characterized. The novel structure of the Model makes it possible to adequately describe variability in natural mortality by stage and in time, as well as variability in size at sex change and recruitment. The Model provides traditional stock Assessment outputs, such as fishing mortality estimates and numbers of individuals, and provides in addition yearly natural mortality estimates. The Model is applied to the exploited shrimp stock of Pandalus borealis in Sept-Iles (Queb...
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SPAM (Sex-Structured Pandalus Assessment Model): a stock Assessment Model for Pandalus stocks
Canadian Journal of Fisheries and Aquatic Sciences, 2012Co-Authors: Hilaire Drouineau, Louise Savard, Mathieu Desgagnés, Daniel E. DupliseaAbstract:Malgré l’importance économique des pêches aux crevettes Pandalus, peu d’outils ont été mis au point pour en évaluer les stocks, car les modèles d’évaluation courants ne sont pas appropriés à cause des caractéristiques biologiques particulières des espèces de Pandalus. Dans ce contexte, nous proposons SPAM (Sex-Structured Pandalus Assessment Model — modèle d’évaluation des Pandalus structuré en fonction du sexe), un modèle servant à évaluer les stocks de pandalidés hermaphrodites protandriques. Les pandalidés sont difficiles à évaluer parce que les signaux qui affectent le changement de sexe, la taille lors de recrutement et la variabilité de la mortalité restent mal connus et caractérisés. La structure inédite de notre modèle permet de décrire adéquatement la variabilité de la mortalité naturelle en fonction des stades et du temps, de même que la variabilité dans la taille au moment du changement de sexe et lors du recrutement. Le modèle fournit les résultats des modèles traditionnels d’évaluation des stocks, tels que les estimations de la mortalité due à la pêche et le nombre d’individus, mais il donne en plus des estimations des mortalités naturelles annuelles. Nous appliquons le modèle au stock exploité de crevettes Pandalus borealis de Sept-Îles (Québec, Canada) comme exemple pour illustrer l’utilité de la méthodologie. / Despite the economic importance of Pandalus shrimp fisheries, few analytical tools have been developed to assess their stocks, and traditional stock Assessment Models are not appropriate because of biological specificities of Pandalus species. In this context, we propose SPAM (Sex-Structured Pandalus Assessment Model), a Model dedicated to protandric hermaphrodite pandalids stock Assessment. Pandalids are difficult to assess because the cues affecting sex change, size at recruitment, and mortality variability are not well understood or characterized. The novel structure of the Model makes it possible to adequately describe variability in natural mortality by stage and in time, as well as variability in size at sex change and recruitment. The Model provides traditional stock Assessment outputs, such as fishing mortality estimates and numbers of individuals, and provides in addition yearly natural mortality estimates. The Model is applied to the exploited shrimp stock of Pandalus borealis in Sept-Îles (Québec, Canada) as an illustrative example of the utility of the approach.
Alexandr Garaga - One of the best experts on this subject based on the ideXlab platform.
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A cloud adoption risk Assessment Model
Proceedings - 2014 IEEE ACM 7th International Conference on Utility and Cloud Computing UCC 2014, 2014Co-Authors: Erdal Cayirci, Alexandr Garaga, Anderson Santana De Oliveira, Yves RoudierAbstract:—Cloud Adoption Risk Assessment Model is designed for cloud customers to assess the risks that they face by selecting a specific cloud service provider. It is an expert system to evaluate various background information obtained from cloud customers, cloud service providers and other public external sources, and to analyze various risk scenarios. This would facilitate cloud customers in making informed decision to select the cloud service provider with the most preferable risk profile.
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UCC - A Cloud Adoption Risk Assessment Model
2014 IEEE ACM 7th International Conference on Utility and Cloud Computing, 2014Co-Authors: Erdal Cayirci, Alexandr Garaga, Anderson Santana, Yves RoudierAbstract:Cloud Adoption Risk Assessment Model is designed for cloud customers to assess the risks that they face by selecting a specific cloud service provider. It is an expert system to evaluate various background information obtained from cloud customers, cloud service providers and other public external sources, and to analyze various risk scenarios. This would facilitate cloud customers in making informed decision to select the cloud service provider with the most preferable risk profile.
Hilaire Drouineau - One of the best experts on this subject based on the ideXlab platform.
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SPAM (Sex-Structured Pandalus Assessment Model): a stock Assessment Model for Pandalus stocks
Canadian Journal of Fisheries and Aquatic Sciences, 2012Co-Authors: Hilaire Drouineau, Louise Savard, Mathieu Desgagnés, Daniel E. DupliseaAbstract:Despite the economic importance of Pandalus shrimp fisheries, few analytical tools have been developed to assess their stocks, and traditional stock Assessment Models are not appropriate because of biological specificities of Pandalus species. In this context, we propose SPAM (Sex-Structured Pandalus Assessment Model), a Model dedicated to protandric hermaphrodite pandalids stock Assessment. Pandalids are difficult to assess because the cues affecting sex change, size at recruitment, and mortality variability are not well understood or characterized. The novel structure of the Model makes it possible to adequately describe variability in natural mortality by stage and in time, as well as variability in size at sex change and recruitment. The Model provides traditional stock Assessment outputs, such as fishing mortality estimates and numbers of individuals, and provides in addition yearly natural mortality estimates. The Model is applied to the exploited shrimp stock of Pandalus borealis in Sept-Iles (Queb...
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SPAM (Sex-Structured Pandalus Assessment Model): a stock Assessment Model for Pandalus stocks
Canadian Journal of Fisheries and Aquatic Sciences, 2012Co-Authors: Hilaire Drouineau, Louise Savard, Mathieu Desgagnés, Daniel E. DupliseaAbstract:Malgré l’importance économique des pêches aux crevettes Pandalus, peu d’outils ont été mis au point pour en évaluer les stocks, car les modèles d’évaluation courants ne sont pas appropriés à cause des caractéristiques biologiques particulières des espèces de Pandalus. Dans ce contexte, nous proposons SPAM (Sex-Structured Pandalus Assessment Model — modèle d’évaluation des Pandalus structuré en fonction du sexe), un modèle servant à évaluer les stocks de pandalidés hermaphrodites protandriques. Les pandalidés sont difficiles à évaluer parce que les signaux qui affectent le changement de sexe, la taille lors de recrutement et la variabilité de la mortalité restent mal connus et caractérisés. La structure inédite de notre modèle permet de décrire adéquatement la variabilité de la mortalité naturelle en fonction des stades et du temps, de même que la variabilité dans la taille au moment du changement de sexe et lors du recrutement. Le modèle fournit les résultats des modèles traditionnels d’évaluation des stocks, tels que les estimations de la mortalité due à la pêche et le nombre d’individus, mais il donne en plus des estimations des mortalités naturelles annuelles. Nous appliquons le modèle au stock exploité de crevettes Pandalus borealis de Sept-Îles (Québec, Canada) comme exemple pour illustrer l’utilité de la méthodologie. / Despite the economic importance of Pandalus shrimp fisheries, few analytical tools have been developed to assess their stocks, and traditional stock Assessment Models are not appropriate because of biological specificities of Pandalus species. In this context, we propose SPAM (Sex-Structured Pandalus Assessment Model), a Model dedicated to protandric hermaphrodite pandalids stock Assessment. Pandalids are difficult to assess because the cues affecting sex change, size at recruitment, and mortality variability are not well understood or characterized. The novel structure of the Model makes it possible to adequately describe variability in natural mortality by stage and in time, as well as variability in size at sex change and recruitment. The Model provides traditional stock Assessment outputs, such as fishing mortality estimates and numbers of individuals, and provides in addition yearly natural mortality estimates. The Model is applied to the exploited shrimp stock of Pandalus borealis in Sept-Îles (Québec, Canada) as an illustrative example of the utility of the approach.
