Supervised and unsupervised data engineering for multimedia data /

Bibliographic Details
Other Authors: Swarnkar, Suman (Editor)
Format: eBook
Language:Undetermined
Published: Hoboken, NJ : Beverly, MA : John Wiley & Sons, Inc. ; Scrivener Publishing LLC, 2024.
Series:Advances in data engineering and machine learning
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Cover
  • Title Page
  • Copyright Page
  • Dedication Page
  • Book Description
  • Contents
  • List of Figures
  • List of Tables
  • Preface
  • Chapter 1 SLRRT: Sign Language Recognition in Real Time
  • 1.1 Introduction
  • 1.2 Literature Survey
  • 1.3 Model for Sign Recognition Language
  • 1.4 Experimentation
  • 1.5 Methodology
  • 1.6 Experimentation Results
  • 1.7 Conclusion
  • Future Scope
  • References
  • Chapter 2 Unsupervised/Supervised Feature Extraction and Feature Selection for Multimedia Data: (Feature extraction with feature selection for Image Forgery Detection)
  • 2.1 Introduction
  • 2.2 Problem Definition
  • 2.3 Proposed Methodology
  • 2.4 Experimentation and Results
  • 2.5 Feature Selection & Pre-Trained CNN Models Description
  • 2.6 Bat ELM Optimization Results
  • Conclusion
  • Declarations
  • Consent for Publicaton
  • Conflict of Interest
  • Acknowledgement
  • References
  • Chapter 3 Multimedia Data in Healthcare System
  • 3.1 Introduction
  • 3.2 Recent Trends in Multimedia Marketing
  • 3.3 Challenges in Multimedia
  • 3.4 Opportunities in Multimedia
  • 3.5 Data Visualization in Healthcare
  • 3.6 Machine Learning and its Types
  • 3.7 Health Monitoring and Management System Using Machine Learning Techniques
  • 3.8 Health Monitoring Using K-Prototype Clustering Methods
  • 3.9 AI-Based Robotics in E-Healthcare Applications Based on Multimedia Data
  • 3.10 Future of AI in Health Care
  • 3.11 Emerging Trends in Multimedia Systems
  • 3.12 Discussion
  • References
  • Chapter 4 Automotive Vehicle Data Security Service in IoT Using ACO Algorithm
  • Introduction
  • Literature Survey
  • System Design
  • Result and Discussion
  • Conclusion
  • References
  • Chapter 5 Unsupervised/Supervised Algorithms for Multimedia Data in Smart Agriculture
  • 5.1 Introduction
  • 5.2 Background
  • 5.3 Applications of Machine Learning Algorithms in Agriculture
  • References
  • Chapter 6 Secure Medical Image Transmission Using 2-D Tent Cascade Logistic Map
  • 6.1 Introduction
  • 6.2 Medical Image Encryption Using 2D Tent and Logistic Chaotic Function
  • 6.3 Simulation Results and Discussion
  • 6.4 Conclusion
  • Acknowledgement
  • References
  • Chapter 7 Personalized Multi-User-Based Movie and Video Recommender System: A Deep Learning Perspective
  • 7.1 Introduction
  • 7.2 Literature Survey on Video and Movie Recommender Systems
  • 7.3 Feature-Based Solutions for Movie and Video Recommender Systems
  • 7.4 Fusing: EF
  • (Early Fusion) and LF
  • (Late Fusion)
  • 7.5 Experimental Setup
  • 7.6 Conclusions
  • References
  • Chapter 8 Sensory Perception of Haptic Rendering in Surgical Simulation
  • Introduction
  • Methodology
  • Background Related Work
  • Application
  • Case Study
  • Future Scope
  • Result
  • Conclusion
  • Acknowledgement
  • References
  • Chapter 9 Multimedia Data in Modern Education
  • Introduction to Multimedia
  • Traditional Learning Approaches