Advances in Computing and Intelligent Systems: Proceedings of Icacm 2019

Book Overview

Chapter 1. Intuitionistic Fuzzy Shannon Entropy Weight Based Multi Criteria Decision Model with TOPSIS to Analyse Security Risks and Select Online Transaction Method.- Chapter 2. Fermat Spiral Based Moth-Flame Optimization Algorithm for Object-Oriented Testing.- Chapter 3. A Comparative Study of Information Retrieval Using Machine Learning.- Chapter 4. Adaptive Background Subtraction Using Manual Approach for Static Images.- Chapter 5. Tweets Daily: Categorised News from Twitter.- Chapter 6. Compressing Meta Class Files through String Optimization.- Chapter 7. An Algorithm to Generate Largest Prime Number.- Chapter 8. Development of a Discretization Methodology for 2.5D Milling Toolpath optimization Using Genetic Algorithm.- Chapter 9. Machine Learning Based Prediction of PM 2.5 Pollution Level in Delhi.- Chapter 10. A Comparative Study of Load Balancing Algorithms in a Cloud Environment.- Chapter 11. Information Retrieval from Search Engine Using Particle Swarm Optimization.- Chapter 12. Genetic Algorithm Based Multi Objective Optimization Framework to Solve Travelling Salesman Problem.- Chapter 13. Design of Optimal PID Controller for Varied System Using Teaching-Learning-Based Optimization.- Chapter 14. Innovative Review on Artificial Bee Colony Algorithm and it's Variants.- Chapter 15. Multi Linear Regression Model to Predict Correlation between IT Graduate Attributes for Employability using R.

• Format: Paperback
• Language: English
• ISBN: 9811502242
• ISBN13: 9789811502248
• Release Date: August 2021
• Publisher: Springer
• Length: 637 Pages
• Weight: 1.98 lbs.
• Dimensions: 1.3" x 6.1" x 9.2"