Synopses & Reviews
Synopsis
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.