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Publications (17)
One of the leading causes of mortality worldwide is still heart disease, and clinical results might be significantly improved by employing AI to forecast heart disease. However, because AI-based prediction models are incomprehensible, issues have been raised regarding their interpretability and reliability. This study looks at how Explainable AI (X...
DNA Microarray datasets, also known as “omics” data, are important for the diagnosis of numerous diseases, including cancer and tumors. In the analysis of these data, feature selection techniques and classification algorithms are the workhorse for choosing candidate genes that serve as cancer biomarkers. However, microarray datasets present a chall...
The use of datasets became paramount in many searches in one hand, on the other hand the rapidly growth of data size involves computational complexity and reduces model performances, this encourage us to find new methods to deal with this problem. Features Selection is the one of the main task used to resolve this issue. In this paper we propose a...
The requests of thecompanies for the development and deployment of their business-applications in Cloud become morecomplex so that, sometimes, a one single service cannot carry out the target task on its own. Hence, a user request is provided as a composite service. On another note, the number of available services is significantly increasing. Ther...
This course describes the different concepts related to cloud and virtualization
Nowadays, Cloud Computing offers multiple Cloud services for use. With the increasing demands of complex Cloud services, dynamic and adaptive composition of services became necessary. These services could do the same functionalities but may differ in quality of service, this latter may not represent the exact quality measures of Cloud services beca...
The development of Cloud computing led to an increase in the number of services ready for use and therefore the number of consumers' requests. Cloud providers advertise the description of their offered services in different formats on the Internet. This makes the discovery and selection of services more difficult for users. Thus, a uniform descript...
This article describes how cloud computing and the convergence toward “Everything as a service” have encouraged the proliferation of services ready for use. These facilities have increased the requests of the companies for the development of the applications. In this context, where the reusability is needed, cloud service composition techniques are...
The increasing use of Cloud services as well as the increasing demands of complex cloud services creates the need for a dynamic and adaptive composition of services, in a decentralized and large scale environment, where the quality of services may increase or decrease. Early attempts for dynamic composition of services have been proposed. But they...
A self-organizing system functions without central control, and through contextual local interactions. Components achieve a simple task individually, but a complex collective behavior emerges from their mutual interactions. Nature provides examples of self-organization, such as ant's food foraging, molecules formation, or antibodies detection. Simi...
Les humains virtuels sont devenus fréquemment utilisés dans les domaines industriels et éducatifs. Selon les recherches antérieures, il a été admis que le problème ne se limite pas dans la simulation d'un humain virtuel ayant un comportement significatif et crédible, mais il le transcende à la simulation d'un grand monde artificiel possédant un nom...
In this poster, we present a novel approach to automatically develop and deploy business applications in the cloud. The approach handles links and dependencies between services. We adopt a real case study to show the feasibility of the method and we use the docker as a development tool.
