Supervised and unsupervised data engineering for multimedia data / (Record no. 91862)

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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250816104331.0
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119786344
Qualifying information hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119786443
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119786444
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119786429
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119786428
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119786436
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119786436
Qualifying information electronic book
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781119786443
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1428861789
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
Item number S87 2024
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23/eng/20240411
245 00 - TITLE STATEMENT
Title Supervised and unsupervised data engineering for multimedia data /
Statement of responsibility, etc edited by Suman Kumar Swarnkar... [and 4 others]
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, NJ :
Name of publisher, distributor, etc John Wiley & Sons, Inc. ;
Place of publication, distribution, etc Beverly, MA :
Name of publisher, distributor, etc Scrivener Publishing LLC,
Date of publication, distribution, etc 2024.
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc ©2024.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent.
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia.
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier.
340 ## - PHYSICAL MEDIUM
Source rdacc
Authority record control number or standard number http://rdaregistry.info/termList/RDAColourContent/1003.
490 1# - SERIES STATEMENT
Series statement Advances in data engineering and machine learning.
505 0# - CONTENTS
Formatted contents note Table of Contents<br/>List of Figures xiii<br/><br/>List of Tables xix<br/><br/>Preface xxi<br/><br/>1 SLRRT: Sign Language Recognition in Real Time 1<br/>Monika Lamba and Geetika Munjal<br/><br/>2 Unsupervised/Supervised Feature Extraction and Feature Selection for Multimedia Data<br/>(Feature extraction with feature selection for Image Forgery Detection) 27<br/>Arun Anoop M., Karthikeyan P. and S. Poonkuntran<br/><br/>3 Multimedia Data in Healthcare System 63<br/>Sarita Gulia, Pallavi Pandey and Yogita Yashveer Raghav<br/><br/>4 Automotive Vehicle Data Security Service in IoT Using ACO Algorithm 93<br/>Sivanantham, K. and Blessington Praveen, P.<br/><br/>5 Unsupervised/Supervised Algorithms for Multimedia Data in Smart Agriculture 111<br/>Reena Thakur, Parul Bhanarkar and Uma Patel Thakur<br/><br/>6 Secure Medical Image Transmission Using 2-D Tent Cascade Logistic Map 133<br/>L. R. Jonisha Miriam, A. Lenin Fred, S. N. Kumar, Ajay Kumar H., I. Christina Jane, Parasuraman Padmanabhan and Balázs Gulyás<br/><br/>7 Personalized Multi-User-Based Movie and Video Recommender System: A Deep Learning Perspective 149<br/>Jayaramu H. K., Suman Kumar Maji and Hussein Yahia<br/><br/>8 Sensory Perception of Haptic Rendering in Surgical Simulation 177<br/>Rachit Sachdeva, Eva Kaushik, Sarthak Katyal, Krishan Kant Choudhary and Rohit Kaushik<br/><br/>9 Multimedia Data in Modern Education 189<br/>Roopashree, Praveen Kumar M., Pavanalaxmi, Prameela N. S. and Mehnaz Fathima<br/><br/>10 Assessment of Adjusted and Normalized Mutual Information Variants for Band Selection in Hyperspectral Imagery 217<br/>Bhagyashree Chopade, Vikas Gupta and Divyesh Varade<br/><br/>11 A Python-Based Machine Learning Classification Approach for Healthcare Applications 247<br/>Vishal Sharma<br/><br/>12 Supervised and Unsupervised Learning Techniques for Biometric Systems 263<br/>Pallavi Pandey, Yogita Yashveer Raghav, Sarita Gulia, Sagar Aggarwal and Nitin Kumar<br/><br/>About the Editors 301<br/><br/>Index 303
520 ## - SUMMARY, ETC.
Summary, etc 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.
545 0# - BIOGRAPHICAL OR HISTORICAL DATA
Biographical or historical note About the Authors<br/>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.<br/><br/>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.<br/><br/>Sapna Singh Kshatri, PhD, serves as an assistant professor specializing in artificial intelligence and machine learning, having authored several books and received multiple awards.<br/><br/>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.<br/><br/>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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
Authority record control number https://id.loc.gov/authorities/subjects/sh85008180.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Swarnkar, Suman,
Authority record control number https://id.loc.gov/authorities/names/n2023036351
Relator term editor.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Advances in data engineering and machine learning.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781119786443
Link text Full text is available at Wiley Online Library Click here to view
942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Source of acquisition Full call number Date last seen Price effective from Item type
          COLLEGE LIBRARY COLLEGE LIBRARY 2025-08-16 ALBASA Consortium 006.3 2025-08-16 2025-08-16 EBOOK