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Titlebook: Hybrid Intelligent Systems; 17th International C Ajith Abraham,Pranab Kr. Muhuri,Niketa Gandhi Conference proceedings 2018 Springer Interna

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M. D. Akhtar,V. K. Manupati,M. L. R. Varela,G. D. Putnik,A. M. Madureira,Ajith Abrahamesetzt. Tatsächlich ist er keineswegs bekannt, wie die Bemühungen der philosophischen Ästhetik beweisen, sondern ein Spielball weltanschaulicher Meinungen. Wir deuten daher nur die Richtung an, in der wir ihn zu erschauen meinen: nicht in einer Nachahmung der Natur, nicht in einer Illusion, nicht in
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Neural Tree for Estimating the Uniaxial Compressive Strength of Rock Materials, is very expensive and time-consuming. Therefore, common . like point load (Is-50), ultrasonic velocity test (V.), block punch index (BPI) test, rebound hardness (SRH) test, physical properties have been used to predict the UCS. The objective of this work is to develop a predictive model using a . p
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Fault Tolerant Multiple Synchronized Parallel Load Balancing in Cloud,be easily provisioned, configurable, and managed with minimal management efforts. Proper load balancing is an important task in maintaining fault tolerance and Quality of Service (QoS) in the cloud. A load balancer accepts incoming user requests and distributes this workload across multiple Virtual
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Semi-Supervised Learning with the Integration of Fuzzy Clustering and Artificial Neural Network,vised learning finds the nearest matching by getting the knowledge from labeled training data whereas unsupervised learning does not acquire any knowledge of labeled data to produce output. In extensive research, it has been shown that to cluster huge amount of unlabeled data, the combination of bot
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GMM-,NN: A Method for Processing Continuous ,-NN Queries Based on The Gaussian Mixture Model,. nearest objects for . and continuously monitor its result in real-time when the objects and the queries are constantly moving. Most existing works about processing C.NN queries usually exist some flaws about the index maintenance, updates of results, and the query cost, which makes them hardly can
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Edge Detection for Cement Images Based on Interactive Genetic Algorithm,ment hydration, the particles should be differentiated from cement images. However, the existence of partial volume effect and similarity of intensity between different phases causes the boundaries of particles are not clear. Therefore, it is difficult for the traditional edge detection methods to d
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Multilevel Image Thresholding Established on Fuzzy Entropy Using Differential Evolution,new methodology which is implemented in framework of the multi-step segmentation of image format. Further framework is improved to attain improved threshold value. A meta-heuristic Differential Evolution (DE) algorithm is cast-off in a direction to resolve the optimization problem, that results in a
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