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Titlebook: Computational Intelligence in Data Mining—Volume 2; Proceedings of the I Himansu Sekhar Behera,Durga Prasad Mohapatra Conference proceeding

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A Fuzzy Logic Based Finite Element Analysis for Structural Design of a 6 Axis Industrial Robot,ic gripper. The results of the analysis are presented and it is found that the triangular membership function is the effective one for deformation measurement as its surface plot shows a good agreement with the output result.
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Computational Intelligence in Data Mining—Volume 2Proceedings of the I
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A Sensor Based Mechanism for Controlling Mobile Robots with ZigBee,type in certain applications. By controlling the mobile robot using a sensor it can be used as a prototype for wheelchairs and thus they can assist the physically disabled people in their movement. This is very useful for them in their personnel as well as professional life. Thus the mobile robots a
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Effect of Outlier Detection on Clustering Accuracy and Computation Time of CHB K-Means Algorithm,on of huge volumes of data. Among the traditional partitional clustering algorithms, the bisecting K-Means is one of the most widely used for high dimensional dataset. But the performance degrades as the dimensionality increases. Also, the task of selection of cluster for further bisection is a chal
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A Fuzzy Knowledge Based Sensor Node Appraisal Technique for Fault Tolerant Data Aggregation in Wirergy and low-cost sensor nodes which are deployed in vast geographical areas for remote sensing and monitoring operations. The sensor nodes are mostly deployed in harsh environments and unattended setups. They are prone to failure due to battery depletion, low-cost design or malfunctioning of some co
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A Novel Recognition of Indian Bank Cheques Using Feed Forward Neural Network,ank cheque is the one which is the outcome of the type or category of the cheque which belongs to a specific bank. In this research, an attempt is made to design a model to classify Indian bank cheques according to the features extracted scanned cheque images by applying classification level decisio
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