Proceedings of International Conference on Advances in Computer Engineering and Communication Systems ICACECS 2020

This book comprises the best deliberations with the theme “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” in the “International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020)”, organized by the Department of C...

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Bibliographic Details
Other Authors: Kiran Mai, C. (Editor), Kiranmayee, B. V. (Editor), Favorskaya, Margarita N. (Editor), Chandra Satapathy, Suresh (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2021, 2021
Edition:1st ed. 2021
Series:Learning and Analytics in Intelligent Systems
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1.Smart Dustbin: A Reward Provider
  • Chapter 2.Cyclic Exploration-based Whale Optimization to Linear Discriminant Regression Classification for Face Recognition
  • Chapter 3.Auction System in Food Supply Chain Management using Blockchain
  • Chapter 4.The Mechanism of Generating the Automated Java Unit Test Cases by achieving Maximum Code Coverage
  • Chapter 5.Line Stability Index Based Voltage Stability Assessment Placing Series Compensation of TCSC
  • Chapter 6.Preventing Crime Using Advanced Artificial Intelligence Techniques
  • Chapter 7.Issue Resolution Process: Salesforce
  • Chapter 8.Automated Member Enrollment: Health Insurance Agency
  • Chapter 9.Comprehensive Analysis of State of the Art Techniques for VQA
  • Chapter 10.Study of State of Arts Methods for Event Extraction
  • Chapter 11.A Survey on Identification of Illegal Wildlife Trade
  • Chapter 12.An approach for optimizing algorithms which find k1-most demanding products
  • Chapter 13.Homomorphic Analysis of Privacy-Preserving Psychological Medical Records
  • Chapter 14.Prediction of Rice Plant Diseases based on Soil and Weather conditions
  • Chapter 15.An improved web information system through identification of faculty browsing patterns in affiliated engineering institutions