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  • Topical Drifts in Intelligent Computing: Proceedings of International Conference on Computational Techniques and Applications (ICCTA 2021)

    Topical Drifts in Intelligent Computing by Mandal, Jyotsna Kumar; Hsiung, Pao-Ann; Sankar Dhar, Rudra;

    Proceedings of International Conference on Computational Techniques and Applications (ICCTA 2021)

    Series: Lecture Notes in Networks and Systems; 426;

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      • Publisher's listprice EUR 246.09
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        102 065 Ft (97 205 Ft + 5% VAT)
      • Discount 20% (cc. 20 413 Ft off)
      • Discounted price 81 652 Ft (77 764 Ft + 5% VAT)

    102 065 Ft

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    Product details:

    • Edition number 1st ed. 2022
    • Publisher Springer Nature Singapore
    • Date of Publication 24 April 2022
    • Number of Volumes 1 pieces, Book

    • ISBN 9789811907449
    • Binding Paperback
    • No. of pages641 pages
    • Size 235x155 mm
    • Weight 1174 g
    • Language English
    • Illustrations XXII, 641 p. 411 illus., 333 illus. in color. Illustrations, black & white
    • 248

    Categories

    Long description:

    This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Computational Techniques and Applications (ICCTA 2021), organized by the Electronics and Telecommunication Engineers (IETE), Kolkata Center, India, during 8 – 9 October 2021. This includes research in the areas of intelligent computing and communication systems including computing, electronics, green energy design, communications, computers to interact and disseminate information on latest developments both academically and industrially for computational drifts. The three main tracks are (i) computing in network security, AI and data science; (ii) contemporary issues in electronics, and communication technology; and (iii) intelligent computing in electrical power, control systems and energy technology.


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    Table of Contents:

    Skin Cancer Detection using Computer Vision.- A Comparative Study Of Machine Learning Algorithms For Anomaly Based Network Intrusion Detection System.- An Effective Approach For Detecting Acute Lymphoblastic Leukemia Using Deep Convolutional Neural Networks.- Use of Support Vector Machine to Check Whether Process Metrics are as good as Static Code Metrics.- Social distancing using video tracking system- An effort towards CoVID-19.- A Universal Dependency Treebank for Definitely Endangered Low Resource Kangri Language.- Analysis of Unsupervised Statistical Machine Translation using Cross-lingual Word Embedding for English Hindi.- A Ternary Sentiment Classification of Bangla Text Data Using Support Vector Machine and Random Forest Classifier.

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