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Titlebook: Advances in Intelligent Computing; J. K. Mandal,Paramartha Dutta,Somnath Mukhopadhyay Book 2019 Springer Nature Singapore Pte Ltd. 2019 Co

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Traffic Offloading in Heterogeneous Networksstering algorithms is that each gene belongs to a cluster. However, few genes are functionally inactive, i.e. not participate in any biological process during experimental conditions and should be segregated from clusters. Based on this observation, a clustering method is proposed in this article th
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A Comparative Study of Bio-inspired Algorithms for Medical Image Registration,n problem. Non-rigid registration of medical images has been approached in this article using the particle swarm optimization algorithm, dragonfly algorithm, and the artificial bee colony algorithm. Brief introductions to these algorithms have been presented. Results of MATLAB simulations of medical
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An Evolutionary Matrix Factorization Approach for Missing Value Prediction,ople has been established to be an useful tool for solving different real-life problems. In crowdsourcing systems, prediction based on very few observations leads to complete disregard for the inherent latent features of the crowd workers corresponding to the items. Similarly in bioinformatics, spar
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Differential Evolution in PFCM Clustering for Energy Efficient Cooperative Spectrum Sensing,ary user (PU). Several studies report that clustering-based CSS technique improves the system performance, among them fuzzy c-means (FCM) clustering algorithm is widely explored. However, it is observed that FCM generates an improper clustering of sensing information at low signal-to-noise ratio (SN
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