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  • Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing: IEM-ICDC 2020

    Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing by Balas, Valentina E.; Hassanien, Aboul Ella; Chakrabarti, Satyajit; Mandal, Lopa;

    IEM-ICDC 2020

    Series: Lecture Notes on Data Engineering and Communications Technologies; 62;

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      • Publisher's listprice EUR 213.99
      • 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.

        88 752 Ft (84 526 Ft + 5% VAT)
      • Discount 20% (cc. 17 750 Ft off)
      • Discounted price 71 002 Ft (67 621 Ft + 5% VAT)

    88 752 Ft

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    Product details:

    • Edition number 1st ed. 2021
    • Publisher Springer Nature Singapore
    • Date of Publication 7 April 2022
    • Number of Volumes 1 pieces, Book

    • ISBN 9789813349704
    • Binding Paperback
    • See also 9789813349674
    • No. of pages795 pages
    • Size 235x155 mm
    • Weight 1229 g
    • Language English
    • Illustrations XVIII, 795 p. 405 illus., 275 illus. in color. Illustrations, black & white
    • 243

    Categories

    Long description:

    This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25–27 September 2020. It presents substantial new research findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.

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    Table of Contents:

    Part 1: Computational Intelligence.- Chapter 1. Deep learning, predictive modelling and nano/bio-sensing technologies for mitigation of the COVID-19 pandemic.- Chapter 2. User Authentication using Password and Hand Gesture with Leap Motion Sensor.- Chapter 3. Exploiting Transfer Learning Ensemble for Visual Sentiment Analysis in Social Media.- Chapter 4. Automated Sorting of Rotten or Defective Fruits and Vegetables using Convolutional Neural Network.- Chapter 5. Fuzzy Time Series Forecasting of COVID-2019 Outbreak: A Case Study of U.S. Population.- Chapter 6. Electrical Power Demand Forecasting of Smart Buildings: A Deep Learning Approach.- Chapter 7. Improved Performance of Recommender System based on Demographic Attributes.- Chapter 8. A Novel Method for Hostility Management.- Chapter 9. Detection of Invasive Ductal Carcinoma from Breast Histopathology Image using Deep Ensemble Neural Networks.- Chapter 10. Neural Network based Surface Corrosion Classification on Metal Articles.- Chapter 11. Automated Cockpit Voice Recorder Sound Classification Using MFCC Features and Deep Convolutional Neural Network.- Chapter 12. Bondhu Tank: An automated Smart Water Management System.- Chapter 13. A Holistic Framework for Quality Evaluation of Fruits and Vegetables Suppliers.- Chapter 14. Algorithm to Generate All Spanning Tree Structures of a Complete Graph.- Chapter 15. Size Invariant Ship Detection using SAR Images.

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