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DOI: 10.2174/97898151964431230101 eISBN: 978-981-5196-44-3, 2023 ISBN: 978-981-5196-45-0
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For Books Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar, Tien Anh Tran , " Artificial Intelligence and Multimedia Data Engineering ", Bentham Science Publishers (2023). https://doi.org/10.2174/97898151964431230101
Print ISBN978-981-5196-45-0
Online ISBN978-981-5196-44-3
Page: i-i (1) Author: Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar and Tien Anh Tran DOI: 10.2174/9789815196443123010001
Page: ii-ii (1) Author: DOI: 10.2174/9789815196443123010002
Page: 1-8 (8) Author: Vishal Sharma* DOI: 10.2174/9789815196443123010003 PDF Price: $15
Page: 9-26 (18) Author: R. K. Kapila Vani* and Jayashree Padmanabhan DOI: 10.2174/9789815196443123010004 PDF Price: $15
Page: 27-39 (13) Author: C. A. Harikrishnan* DOI: 10.2174/9789815196443123010005 PDF Price: $15
Page: 40-59 (20) Author: Richard Essah*, Darpan Anand, Surender Singh and Isaac Atta Senior Ampofo DOI: 10.2174/9789815196443123010006 PDF Price: $15
Page: 60-69 (10) Author: Eram Fatima*, Ankit Kumar and Anil Kumar Singh DOI: 10.2174/9789815196443123010007 PDF Price: $15
Page: 70-81 (12) Author: Ritesh Diwaker* and Deepak Asrani DOI: 10.2174/9789815196443123010008 PDF Price: $15
Page: 82-97 (16) Author: Gausiya Yasmeen, Syed Adnan Afaq*, Mohd Faisal and Saman Uzma DOI: 10.2174/9789815196443123010009 PDF Price: $15
Page: 98-117 (20) Author: P. Devisivasankari* and R. Vijayakumar DOI: 10.2174/9789815196443123010010 PDF Price: $15
Page: 118-122 (5) Author: Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar and Tien Anh Tran DOI: 10.2174/9789815196443123010011
This book explains different applications of supervised and unsupervised data engineering for working with multimedia objects. Throughout this book, the contributors highlight the use of Artificial Intelligence-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, automation in vehicle manufacturing, data science and automation in electronics industries. The book presents seven chapters which present use-cases for AI engineering that can be applied in many fields. The book concludes with a final chapter that summarizes emerging AI trends in intelligent and interactive multimedia systems. Key features: - A concise yet diverse range of AI applications for multimedia data engineering - Covers both supervised and unsupervised machine learning techniques - Summarizes emerging AI trends in data engineering - Simple structured chapters for quick reference and easy understanding - References for advanced readers This book is a primary reference for data science and engineering students, researchers and academicians who need a quick and practical understanding of AI supplications in multimedia analysis for undertaking or designing courses. It also serves as a secondary reference for IT and AI engineers and enthusiasts who want to grasp advanced applications of the basic machine learning techniques in everyday applications.
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