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Titlebook: Advances in Computing and Data Sciences; First International Mayank Singh,P.K. Gupta,William Grosky Conference proceedings 2017 Springer N

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发表于 2025-3-21 19:12:53 | 显示全部楼层 |阅读模式
期刊全称Advances in Computing and Data Sciences
期刊简称First International
影响因子2023Mayank Singh,P.K. Gupta,William Grosky
视频video
发行地址Includes supplementary material:
学科分类Communications in Computer and Information Science
图书封面Titlebook: Advances in Computing and Data Sciences; First International  Mayank Singh,P.K. Gupta,William Grosky Conference proceedings 2017 Springer N
影响因子.This book constitutes the refereed proceedings of the First International Conference on Advances in Computing and Data Sciences, ICACDS 2016, held in Ghaziabad, India, in November 2016...The 64 full papers were carefully reviewed and selected from 502 submissions. The papers are organized in topical sections on Advanced Computing; Communications; Informatics; Internet of Things; Data Sciences..
Pindex Conference proceedings 2017
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Bertram Neubauer,Tom Ritter,Frank Stoinskinear data. It learns the decision surface from two different classes of input samples and then performs analysis of new input samples. A neural network is able to learn without the explicit description of the problem or the need of a programmer. Another type of classification technique is the decisi
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https://doi.org/10.1007/b105900cy and wavelet domain have been proposed to enhance images corrupted with additive noise. All the methods suggested have their own advantages as well as disadvantages. With the availability of parallel processing capability, in low end workstations and systems, fusion of two or more de-noising metho
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https://doi.org/10.1007/3-540-36465-Xon in presence of opaque horizontal line obstacles. The robots are having limited visibility capabilities and they are randomly scattered inside the region together with the obstacles. The robots do not have any message exchange among themselves. In the proposed algorithm, the robots follow the CORD
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Ahana Sarkar,Abhishek Kochure,Arnab Janauality is proficient students. Hence the objective of this study is to Cluster proficient students of an educational institution using data mining approach. Clustering is based on knowledge, skill and ability concept known as KSA. A model and an algorithm are proposed to accomplish the task of Clust
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Ahana Sarkar,Abhishek Kochure,Arnab Janaes fails when byte level content of the malware undergoes modification. Different static, dynamic and hybrid approaches exist and are classified based on the form in which the executable is analyzed. Static approaches include signature based methods that uses byte or opcode sequences, printable stri
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