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.
Edited by:
Suman Kumar Swarnkar (Kalinga University Nayaraipur India),
J. P. Patra (Chhattisgarh Swami Vivekanand Technical University,
Bhilai,
India),
Sapna Singh Kshatri (MATS University,
Raipur,
India),
Yogesh Kumar Rathore (Chhattisgarh Swami Vivekanand Technical University,
Bhilai,
India),
Tien Anh Tran (Vietnam Maritime University,
Vietnam)
Imprint: Wiley-Scrivener
Country of Publication: United States
ISBN: 9781119786344
ISBN 10: 1119786347
Pages: 336
Publication Date: 16 April 2024
Audience:
Professional and scholarly
,
Undergraduate
Format: Hardback
Publisher's Status: Active
List of Figures xiii List of Tables xix Preface xxi 1 SLRRT: Sign Language Recognition in Real Time 1 Monika Lamba and Geetika Munjal 2 Unsupervised/Supervised Feature Extraction and Feature Selection for Multimedia Data (Feature extraction with feature selection for Image Forgery Detection) 27 Arun Anoop M., Karthikeyan P. and S. Poonkuntran 3 Multimedia Data in Healthcare System 63 Sarita Gulia, Pallavi Pandey and Yogita Yashveer Raghav 4 Automotive Vehicle Data Security Service in IoT Using ACO Algorithm 93 Sivanantham, K. and Blessington Praveen, P. 5 Unsupervised/Supervised Algorithms for Multimedia Data in Smart Agriculture 111 Reena Thakur, Parul Bhanarkar and Uma Patel Thakur 6 Secure Medical Image Transmission Using 2-D Tent Cascade Logistic Map 133 L. R. Jonisha Miriam, A. Lenin Fred, S. N. Kumar, Ajay Kumar H., I. Christina Jane, Parasuraman Padmanabhan and Balázs Gulyás 7 Personalized Multi-User-Based Movie and Video Recommender System: A Deep Learning Perspective 149 Jayaramu H. K., Suman Kumar Maji and Hussein Yahia 8 Sensory Perception of Haptic Rendering in Surgical Simulation 177 Rachit Sachdeva, Eva Kaushik, Sarthak Katyal, Krishan Kant Choudhary and Rohit Kaushik 9 Multimedia Data in Modern Education 189 Roopashree, Praveen Kumar M., Pavanalaxmi, Prameela N. S. and Mehnaz Fathima 10 Assessment of Adjusted and Normalized Mutual Information Variants for Band Selection in Hyperspectral Imagery 217 Bhagyashree Chopade, Vikas Gupta and Divyesh Varade 11 A Python-Based Machine Learning Classification Approach for Healthcare Applications 247 Vishal Sharma 12 Supervised and Unsupervised Learning Techniques for Biometric Systems 263 Pallavi Pandey, Yogita Yashveer Raghav, Sarita Gulia, Sagar Aggarwal and Nitin Kumar About the Editors 301 Index 303
Suman Kumar Swarnkar, PhD, holds a PhD in computer science and engineering and combines over two years of industry experience with over eight years as an assistant professor. J. P. Patra, PhD, a seasoned professor, boasts more than 17 years of research and teaching in artificial intelligence, algorithms, cryptography, and network security, with numerous patents and contributions to reputable publishers. Sapna Singh Kshatri, PhD, serves as an assistant professor specializing in artificial intelligence and machine learning, having authored several books and received multiple awards. Yogesh Kumar Rathore, an assistant professor with 16 years of experience, has published over 40 research papers in conferences and journals, showcasing a comprehensive understanding of computer science and engineering. Tien Anh Tran, PhD, is an assistant professor at Vietnam Maritime University, Haiphong, Vietnam. He has almost ten years of research and teaching experience and has published numerous papers in scientific and scholarly journals. He has also been a guest editor and reviewer for several journals.
