Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai,Supriya Kapoor,Rahul Bhatia Conference proceedings 2019 Springer Nature Switzerland

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Optimisation of Hadoop MapReduce Configuration Parameter Settings Using Genetic Algorithms,g a novel intelligent technique based on both Genetic programming and Genetic Algorithm to optimise the performance of Hadoop MapReduce job. In Hadoop framework, there are more than 150 configurations parameters. Setting this number of parameters manually is a difficult aim and consumes long time. A

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Fast Interpolation and Fourier Transform in High-Dimensional Spaces,entations are . and .. In this article, we address both problems in high-dimensional spaces. First, we propose a quadratic-time solution of the . (PIP), i.e., the .(., .) coefficients of a polynomial ., with ., uniquely fitting . on a determined set of generic nodes . are computed in . time requirin

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Diverticulitis

Minimum Spanning Tree Problem with Single-Valued Trapezoidal Neutrosophic Numbers,t. This paper investigates the single valued trapezoidal neutrosophic minimum spanning tree (SVTNMST) problem where the edge weights are assumed to be single valued trapezoidal neutrosophic variable. A neutrosophic Kruskal algorithm is presented for searching the minimum spanning tree in a single va

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Hybrid Evolutionary Algorithm Based on PSOGA for ANFIS Designing in Prediction of No-Deposition Bedlgorithms (GA) known as PSOGA. The proposed algorithm was utilized in optimize design of ANFIS network (ANFIS-PSOGA). The ANFIS-PSOGA was employed to predict limiting velocity in sewer pipe to prevent sediment deposition. Firstly, the effective dimensionless variables were provided. Then, minimum ve

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Extreme Learning Machines in Predicting the Velocity Distribution in Compound Narrow Channels,the maximum velocity in open channels often occurs below the free surface, something known as the dip phenomenon. This phenomenon can serve as a measure in river hydraulics and sediment transport studies. However, existing relationships for estimating the dip phenomenon has advantages and disadvanta

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Legal Document Retrieval Using Document Vector Embeddings and Deep Learning,have incorporated different techniques to overcome the technical and domain specificity and provide a mature model for various domains of interest. The main bottleneck in these studies is the heavy coupling of domain experts, that makes the entire process to be time consuming and cumbersome. In this

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