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Titlebook: Computational Intelligence, Communications, and Business Analytics; First International J. K. Mandal,Paramartha Dutta,Somnath Mukhopadhyay

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发表于 2025-3-21 18:37:44 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence, Communications, and Business Analytics
副标题First International
编辑J. K. Mandal,Paramartha Dutta,Somnath Mukhopadhyay
视频videohttp://file.papertrans.cn/233/232546/232546.mp4
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Computational Intelligence, Communications, and Business Analytics; First International  J. K. Mandal,Paramartha Dutta,Somnath Mukhopadhyay
描述The two volume set CCIS 775 and 776 constitutes the refereed proceedings of the First International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2017, held in Kolkata, India, in March 2017..The 90 revised full papers presented in the two volumes were carefully reviewed and selected from 276 submissions. The papers are organized in topical sections on data science and advanced data analytics; signal processing and communications; microelectronics, sensors, intelligent networks; computational forensics (privacy and security); computational intelligence in bio-computing; computational intelligence in mobile and quantum computing; intelligent data mining and data warehousing; computational intelligence.. .
出版日期Conference proceedings 2017
关键词computational intelligence; data science; advanced data analytics; signal processing; communications; mic
版次1
doihttps://doi.org/10.1007/978-981-10-6430-2
isbn_softcover978-981-10-6429-6
isbn_ebook978-981-10-6430-2Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2017
The information of publication is updating

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Strategische LieferantenintegrationA quantitative structure activity relationship (QSAR) model has been generated using Multiple Linear regression (MLR) for the prediction of inhibition efficiency of indolecarboxamidotetrazole derivatives. Twenty-one compounds with their activities expressed as % inhibition (PI) are collected. Descri
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https://doi.org/10.1007/978-3-8350-9567-0nd external devices effectively. Generally, brain signal can be captured by EEG technique and the scalp voltage is measured in timely manner. The signal is then transferred to the external devices for modification and finally, the scalp voltage level is transferred into cursor movement (in multithre
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https://doi.org/10.1007/978-3-8350-9567-0orts to search for various methods to prevent this disease at the budding stage by predicting the symptoms of diabetes. In this paper, our main aim is to predict the onset of diabetes amongst women aged at least 21 years using Two-class Neural Network and tabulate and compare our results with others
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https://doi.org/10.1007/978-3-8350-9567-0mitations of existing CMOS technology. We have designed the Gray code counter using two-dot one-electron QCA. As the Set-Reset flipflop is the building block of the Gray code counter, we also designed the Set-Reset flipflop. Computing the potential energies we have substantiated and analyzed the pro
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https://doi.org/10.1007/978-3-8350-9567-0ology in nanoscale. Nanoscale alternatives arise due to the fact that CMOS is near to face serious challenges due to the scaling limitation of this technology. The nanoscale implementation of CMOS also suffers from high power dissipation. In this present article, a study has been carried out over th
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https://doi.org/10.1007/978-3-8350-9567-0ems. Mapping of tasks on the virtual machines in cloud computing environment is a well known NP-complete problem. This paper propose a novel FPA-based algorithm to schedule the tasks on the virtual machines to minimize makespan and maximize cloud resource utilization. The proposed scheme uses an eff
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https://doi.org/10.1007/978-3-322-81385-5ots. QCA technology have features on high density, low power and smallest design compare to the other technologies. This paper proposed the basic paradigm of an efficient design of a 4-bit binary Logical Left Shifter circuit for single shift as well as multiple shifts. Due to inherent nature, QCA ha
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