APPLICATION OF NEURAL NETWORKS IN CARDIOVASCULAR DECISION SUPPORT SYSTEMS
Published In: 7TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): BASARAB M.A. , KONNOVA N.S
Abstract: The development of medical decision support systems, especially in the field of cardiology, is an important and urgent task. The report considers the main requirements for the recognition system used to assess the functional state of the cardiovascular system (CVS). The description of the general scheme of the developed decision support system based on the identification and classification of CVS states is given. As various types of neural networks and other classifiers based on machine learning are often used in problems of the cardiovascular states identification, here, the results obtained with the help of different architectures of such classifiers are examined. A proprietary numerical experiment with real clinical data (confirmed by cross-validation) is performed on the basis of the most efficient neural networks with refinements for generalization and data preprocessing.
- Publication Date: 19-Aug-2018
- DOI: 10.15224/978-1-63248-157-3-27
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- Downloads: 0
MUTUAL REPUTATION BASED SERVICE MAPPING IN CLOUD ENVIRONMENT
Published In: 7TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): DAMANPREET SINGH , MAJOR SINGH GORAYA , NEERAJ YADAV
Abstract: Due to increase in the number of cloud users (CUs), the number of cloud service providers (CSPs) have also been increased. Among the number of available CSPs, the selection of a suitable CSP for a CU has become a complicated issue. In literature, the reputation of CSPs is used to evaluate their suitability. Since, cloud has a strong business perspective, suitability of CU for a CSP is equally important. The mutual suitability of CSPs and CUs can give new dimensions to service orchestration in cloud. Therefore, this paper proposes a mutual reputation-based service mapping framework for the cloud environment. The mutual reputation of both the CSPs and CUs is used during the service mapping. The reputation of CSPs and CUs is evaluated based on their quality of service (QoS) attributes and for evaluating the reputation of CUs the parameters are defined. Analytical Hierarchy Process (AHP) is used to evaluate the reputation of CSPs and CUs. The mutual reputation-based mapping is depicted thr
- Publication Date: 19-Aug-2018
- DOI: 10.15224/978-1-63248-157-3-32
- Views: 0
- Downloads: 0