Titlebook: Intelligent Systems Design and Applications; 17th International C Ajith Abraham,Pranab Kr. Muhuri,Niketa Gandhi Conference proceedings 2018

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Computer Aided Recognition and Classification of Coats of Arms, training and functionality verification we used our own data that was created as a part of our research. The resulting system can serve as an auxiliary tool used in heraldry and other sciences related to history.

招人嫉妒

Mining Gene Expression Data: Patterns Extraction for Gene Regulatory Networks,s extraction approaches used in the literature to infer Gene Regulatory Networks and we propose to use gradual patterns of the form .) to extract knowledge about genes. Furthermore, we rely on GO Gene Ontology as a knowledge source to semantically annotate genes and to add information that can be useful in the process of knowledge extraction.

围裙

,Designing Compound MAPE Patterns for Self-adaptive Systems,ral pattern composition. In this paper, we focus on modeling and composing MAPE patterns for decentralized control in self-adaptive systems. We illustrate our approach using a case study example of the fall-detection ambient assisting living system for elderly people.

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Canonical Correlation-Based Feature Fusion Approach for Scene Classification,The experiments have been carried out using publicly available 15-dataset and the fused features are modeled by Random forest and K-Nearest Neighbor for classification. In the experimental results, K-NN exhibits the good performance in our proposed approach with an average accuracy rate of 81.62%, which outperforms the random forest classifier.

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Conference proceedings 2018ems and their applications in industry and the real world. Including contributions by authors from over 30 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

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2194-5357 ors from over 30 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.978-3-319-76347-7978-3-319-76348-4Series ISSN 2194-5357 Series E-ISSN 2194-5365

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