Titlebook: Innovations in Bio-Inspired Computing and Applications; Proceedings of the 9 Ajith Abraham,Niketa Gandhi,Millie Pant Conference proceedings

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書目名稱Innovations in Bio-Inspired Computing and Applications影響因子(影響力)學(xué)科排名




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書目名稱Innovations in Bio-Inspired Computing and Applications被引頻次




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書目名稱Innovations in Bio-Inspired Computing and Applications讀者反饋




書目名稱Innovations in Bio-Inspired Computing and Applications讀者反饋學(xué)科排名

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Sharanya Nagarjan,Anuj Mohamedldof disability and masculinity studies has taken up the work of Deleuze and Guattari in a nearly unprecedented fashion. Accordingly, the book also explores the gendered nature of disability, and canvases some 978-3-030-01749-1

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Genre Based Classification of Hindi Music,d for all the four genres and also for arousal and valence classes. The accuracy, precision and recall are considered as evaluation parameter in this work. The evaluation parameters of all the genres and classification results of all the classifiers used are compared in the proposed work. Results re

catagen

卵石

Implementation of Threshold Comparator Using Cartesian Genetic Programming on Embryonic Fabric, data generation approach. In this paper a 2-bit comparator is evolved using customized evolutionary algorithm. The implementation of cascaded 8-bit threshold comparator on the embryonic array is also demonstrated. This comparator design needs configuration data for 2-bit and the data can be cloned

HAUNT

,Design and Implementation of an IoT-Based Háptical Interface Implemented by Memetic Algorithms to Ivia the Internet of things to allow flexibility in physical processes to address a dynamic market in each society and from a global perspective. There is more training related to the implementation of artificial intelligence of the workforce for such flexibility of adaptability of products and use o

CHOKE

An Effective Approach for Party Recommendation in Voting Advice Application,d to be good in modeling human decision making as it supports parameterization and vagueness. The proposed work uses these techniques to develop algorithms that can effectively suggest the voter with a suitable party. The research is carried out in the domain of political scenario in Kerala, where t

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EEG Based Feature Extraction and Classification for Driver Status Detection,tatistical features in time and frequency domain are used classify alert and drowsy state of the driver. Variants of SVM models were used to classify the signals and cubic SVM is found to give highest classification accuracy of 93.9%. The proposed method can be used to analyze driver status and furt

auxiliary

Security Challenges in Semantic Web of Things,the?ability to exchange and use information?among data and ontologies. In this situation, the achievement?of security and privacy needs plays an?elementary?role. The high number of interconnected devices arises scalability, heterogeneity and several interoperability issues; hence an?adjustable?infra