Supervised and Unsupervised Data Engineering for Multimedia Data
eBook - ePub

Supervised and Unsupervised Data Engineering for Multimedia Data

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Supervised and Unsupervised Data Engineering for Multimedia Data

About this book

SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA

Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency.

Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies.

The book seamlessly integrates theoretical foundations with practical applications, offering a cohesive framework for navigating the complexities of multimedia data. Readers will delve into a spectrum of topics, including artificial intelligence, machine learning, and data analysis, all tailored to the challenges and opportunities presented by multimedia datasets. From foundational principles to advanced techniques, each chapter provides valuable insights, making this book an essential guide for academia and industry professionals alike. Whether you're a seasoned practitioner or a newcomer to the field, Supervised and Unsupervised Data Engineering for Multimedia Data illuminates the path toward mastery in manipulating and extracting meaningful insights from multimedia data in the modern age.

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Yes, you can access Supervised and Unsupervised Data Engineering for Multimedia Data by Suman Kumar Swarnkar,J. P. Patra,Sapna Singh Kshatri,Yogesh Kumar Rathore,Tien Anh Tran in PDF and/or ePUB format, as well as other popular books in Medicine & Biostatistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley-Scrivener
Year
2024
Print ISBN
9781119786344
eBook ISBN
9781119786429
Edition
1
Topic
Medicine
Subtopic
Biostatistics

Table of contents

  1. Cover
  2. Table of Contents
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Book Description
  8. List of Figures
  9. List of Tables
  10. Preface
  11. 1 SLRRT: Sign Language Recognition in Real Time
  12. 2 Unsupervised/Supervised Feature Extraction and Feature Selection for Multimedia Data (Feature extraction with feature selection for Image Forgery Detection)
  13. 3 Multimedia Data in Healthcare System
  14. 4 Automotive Vehicle Data Security Service in IoT Using ACO Algorithm
  15. 5 Unsupervised/Supervised Algorithms for Multimedia Data in Smart Agriculture
  16. 6 Secure Medical Image Transmission Using 2-D Tent Cascade Logistic Map
  17. 7 Personalized Multi-User-Based Movie and Video Recommender System: A Deep Learning Perspective
  18. 8 Sensory Perception of Haptic Rendering in Surgical Simulation
  19. 9 Multimedia Data in Modern Education
  20. 10 Assessment of Adjusted and Normalized Mutual Information Variants for Band Selection in Hyperspectral Imagery
  21. 11 A Python-Based Machine Learning Classification Approach for Healthcare Applications
  22. 12 Supervised and Unsupervised Learning Techniques for Biometric Systems
  23. About the Editors
  24. Index
  25. Also of Interest
  26. End User License Agreement