Titlebook: Indian Hotspots; Vertebrate Faunal Di Chandrakasan Sivaperuman,Krishnamoorthy Venkataram Book 2018 Springer Nature Singapore Pte Ltd. 2018

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V. Rangasamy,C. Sivaperuman,G. Gokulakrishnan,P. Parthipanntial of this new technology it is necessary to equip such cars with efficient algorithms permitting them to drive in a safe and optimal manner. Thereby we aim to design and implement tools for convenient evaluation of strategies for driving and interactions in various settings..In this paper we pre

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V. Rangasamy,C. SivaperumanThis explosion had been expressing by an exponential growth of data volume among the low-quality information. This paper is designed to provide detailed information about some intellectual tools which are support decision taking by automatic knowledge extraction. In the first part of paper, we consi

贪心

Varadarajuthe field of financial data, where a good trading signal is crucial to achieving the profits for the long term trading approach. In this article, we use the concept of symbolic representation to transform the market situation described as a time series of successive price changes into the simplified

大方一点

Chandrakasan Sivaperuman,G. Gokulakrishnan,P. C. Rasmussen,P. Parthipanntial of this new technology it is necessary to equip such cars with efficient algorithms permitting them to drive in a safe and optimal manner. Thereby we aim to design and implement tools for convenient evaluation of strategies for driving and interactions in various settings..In this paper we pre

杀人

Varadharajan Vanitha,Krishnamoorthy Thiyagesan,Nagarajan Baskaranor portrayed by Alfred Hitchcock in the 1963 thriller “The Birds”. When gathering elements about the phenomenon of birds throughout the film, it is possible to enumerate characteristics of the behavior of the birds that Hitchcock portrayed in the film. HBIA is a stochastic swarm intelligence algorit

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M. Kamalakannan,C. Venkatraman,Lalit Kumar Sharmas in parallel, thus providing insight into disease subtypes and gene functions. Gene expression data obtained from microarray chips are typified by few samples and a large number of genes. Supervised classifiers such as support vector machines (SVM) have been deployed for prediction task. However, i

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Aggressive

B. Ramakrishnan,A. Samsons in parallel, thus providing insight into disease subtypes and gene functions. Gene expression data obtained from microarray chips are typified by few samples and a large number of genes. Supervised classifiers such as support vector machines (SVM) have been deployed for prediction task. However, i