International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 3 / edited by Ashish Khanna, Deepak Gupta, Siddhartha Bhattacharyya, Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal.

Format:

Book

Contributor:

Khanna, Ashish, editor.

Series:

Advances in Intelligent Systems and Computing, 2194-5365 ; 1394

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Telecommunication.

Computational Intelligence.

Artificial Intelligence.

Communications Engineering, Networks.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Communications Engineering, Networks.

Physical Description:

1 online resource (889 pages)

Edition:

1st ed. 2022.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2022.

Summary:

This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Contents:

Chapter 1. Explanation Based Serendipitous Recommender System (EBSRS)

Chapter 2. Introduction of feature selection and leading-edge technologies viz. TENSORFLOW, PYTORCH and KERAS: An empirical study to improve prediction accuracy of cardiovascular disease

Chapter 3. Campus Placement Prediction System using Deep Neural Networks

Chapter 4. Intensity of Traffic Due to Road Accidents in USA: A Predictive Model

Chapter 5. Credit Card Fraud Detection using Blockchain and Simulated Annealing k-means Algorithm

Chapter 6. Improving Accuracy of Deep Learning Based Compression Techniques by Introducing Perceptual Loss in Industrial IoT

Chapter 7. Characterization and Prediction of Various Issue Types: A Case Study on the Apache Lucene System

Chapter 8. Heart Disease prediction using Machine Learning Techniques: A Quantitative Review

Chapter 9. Enhancing CNN with Pre-processing Stage in Illumination Invariant Automatic Expression Recognition

Chapter 10. An Expert Eye for Identifying Shoplifters in Mega Stores

Chapter 11. Sanskrit Stemmer Design : A Literature Perspective

Chapter 12. Predicting Prior Academic Failure of Students’ using Machine Learning Approach

Chapter 13. Deep Classifier for News Text Classification using Topic Modelling Approach

Chapter 14. Forecasting covid-19 cases using Deep CNN LSTM model

Chapter 15. Multi-resolution video steganography technique based on Stationary wavelet transform (SWT) and Singular value decomposition (SVD)

Chapter 16. A novel Dual Threshold Weighted Feature Detection for Spectrum Sensing in 5G systems

Chapter 17. A Systematic Review On Various Attack Detection Methods For Wireless Sensor Networks

Chapter 18. Electronic Beam Steering in Timed Antenna Array by Controlling the Harmonic Patterns with Optimally Derived Pulse-Shifted Switching Sequence

Chapter 19. Classification of attacks on MQTT based IoT system using Machine learning techniques

Chapter 20. Encrypted Traffic Classification using eXtreme Gradient Boosting algorithm

Chapter 21. Analyzing Natural Language Essay Generator Models using Long Short Term Memory Neural Networks

Chapter 22. Performance Evaluation of GINI Index and Information Gain Criteria on Geographical Data: An Empirical Study Based on JAVA and Python.

ISBN:

981-16-3071-2

981-16-3070-4

OCLC:

1266905903