Research Advances in Intelligent Computing
  1. 312 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

1. The book will discuss most recent real-life applications and case studies of Intelligent Computing techniques.
2. The book will provide deeper knowledge regarding emerging research trends and future research directions in Intelligent Computing.
3. The book will provide theoretical, algorithmic, simulation, and implementation-based research developments in Intelligent Computing.
4. The book will follow theoretical approach to describe fundamentals of Intelligent Computing techniques for the beginners as well as practical approach to depict simulation and implementation of real-life applications for intermediate and advanced readers.

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Yes, you can access Research Advances in Intelligent Computing by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Lalit Garg, Anshul Verma,Pradeepika Verma,Kiran Kumar Pattanaik,Lalit Garg in PDF and/or ePUB format, as well as other popular books in Computer Science & Business Intelligence. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Acknowledgments
  8. About the Editors
  9. List of Contributors
  10. Chapter 1 RNN-Based Machine Translation for Indian Languages
  11. Chapter 2 Dynamic Movie Ticket Price Prediction Using Machine Learning
  12. Chapter 3 Designing a GUI for Offline Text-Independent Writer Identification System
  13. Chapter 4 Soil Fertility Prediction Using a Soft Computing Approach
  14. Chapter 5 Psychological Distress Detection, Classification and Assistance Using AI
  15. Chapter 6 Fast and Efficient Text Searching in Compressed Data Using Burrows–Wheeler Transform
  16. Chapter 7 A Comprehensive Exploration of Brain Tumor Segmentation Using Deep Learning Techniques
  17. Chapter 8 Hand Sign Recognition Using LeNet-like Architecture
  18. Chapter 9 Automated Kinship Recognition through Facial Feature Matching
  19. Chapter 10 Ensemble Convolutional Neural Network: A Bidimensional EMD Model for ECG Denoising
  20. Chapter 11 Wrapper-Based Feature Selection for Big Data Using a Multi-Core Environment
  21. Chapter 12 MDAKB: A Metadata-Driven Approach for Multilingual Knowledge Base Generation for Agricultural Domains in the Indian Context
  22. Chapter 13 Melanoma Prediction from Skin Lesions Using Convolutional Neural Network against the Support Vector Machine Learning Algorithm to Achieve Maximum Accuracy and Minimum Loss
  23. Chapter 14 Fusion-Based Morphological Watershed Segmentation Algorithm for Medical Images
  24. Chapter 15 Music Recommendation System to Address the Problem of Long Tail Using Multi-Stage Graph
  25. Chapter 16 Speech-Based Access of Agricultural Commodity Prices and Weather Information in the Kannada Language and Its Dialects
  26. Chapter 17 Weather Classification: Image Embedding Using Convolutional Autoencoder and Predictive Analysis Based on Stacked Generalization
  27. Chapter 18 COVID-19 Confirmed Case Prediction after Vaccination Using Deep Learning Models
  28. Chapter 19 Recognition Model for Facial Expression Using Machine Learning
  29. Chapter 20 Sentiment Analysis and Sarcasm Detection in Indian General Election Tweets
  30. Chapter 21 Image Generation Using Deep Convolutional Generative Adversarial Networks
  31. Chapter 22 Human Activity Identification Using Artificial Intelligence
  32. Chapter 23 Heartbeat-Based Failure Detector of Perfect P Class for Synchronous Hierarchical Distributed Systems
  33. Index