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Supervised and Unsupervised Data Engineering for Multimedia Data
Suman Kumar Swarnkar (Edited by), Swarnkar (Author), J. P. Patra (Edited by), Sapna Singh Kshatri (Edited by), Yogesh Kumar Rathore (Edited by), Tien Anh Tran (Edited by)
9781119786344, Wiley
Hardback, published 16 April 2024
336 pages
22.9 x 15.2 x 2.1 cm, 0.794 kg
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.
List of Figures xiii List of Tables xix Preface xxi 1 SLRRT: Sign Language Recognition in Real Time 1 2 Unsupervised/Supervised Feature Extraction and Feature Selection for Multimedia Data 3 Multimedia Data in Healthcare System 63 4 Automotive Vehicle Data Security Service in IoT Using ACO Algorithm 93 5 Unsupervised/Supervised Algorithms for Multimedia Data in Smart Agriculture 111 6 Secure Medical Image Transmission Using 2-D Tent Cascade Logistic Map 133 7 Personalized Multi-User-Based Movie and Video Recommender System: A Deep Learning Perspective 149 8 Sensory Perception of Haptic Rendering in Surgical Simulation 177 9 Multimedia Data in Modern Education 189 10 Assessment of Adjusted and Normalized Mutual Information Variants for Band Selection in Hyperspectral Imagery 217 11 A Python-Based Machine Learning Classification Approach for Healthcare Applications 247 12 Supervised and Unsupervised Learning Techniques for Biometric Systems 263 About the Editors 301 Index 303
Monika Lamba and Geetika Munjal
(Feature extraction with feature selection for Image Forgery Detection) 27
Arun Anoop M., Karthikeyan P. and S. Poonkuntran
Sarita Gulia, Pallavi Pandey and Yogita Yashveer Raghav
Sivanantham, K. and Blessington Praveen, P.
Reena Thakur, Parul Bhanarkar and Uma Patel Thakur
L. R. Jonisha Miriam, A. Lenin Fred, S. N. Kumar, Ajay Kumar H., I. Christina Jane, Parasuraman Padmanabhan and Balázs Gulyás
Jayaramu H. K., Suman Kumar Maji and Hussein Yahia
Rachit Sachdeva, Eva Kaushik, Sarthak Katyal, Krishan Kant Choudhary and Rohit Kaushik
Roopashree, Praveen Kumar M., Pavanalaxmi, Prameela N. S. and Mehnaz Fathima
Bhagyashree Chopade, Vikas Gupta and Divyesh Varade
Vishal Sharma
Pallavi Pandey, Yogita Yashveer Raghav, Sarita Gulia, Sagar Aggarwal and Nitin Kumar
Subject Areas: Medicine: general issues [MB]
