Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence | Agenda Bookshop Skip to content
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Annu Sharma
B01=Bharat Bhushan
B01=J. Somasekar
B01=Suman Kumar Swarnkar
Category1=Non-Fiction
Category=THR
Category=UYF
Category=UYQM
Category=UYT
Category=UYZF
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€50 to €100
PS=Forthcoming
softlaunch

Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence

English

This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing.

Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence serves as a comprehensive guide to navigating this exciting terrain, where artificial intelligence meets the rich tapestry of visual and auditory data. At its core, this book seeks to unravel the mysteries and unveil the potential of machine learning in the realm of multimedia. Whether it's enhancing user experiences in virtual environments, revolutionizing medical diagnostics, or shaping the future of entertainment, the impact of machine learning in multimedia is profound and far-reaching. The journey begins with a thorough exploration of the foundational principles of machine learning, providing readers with a solid understanding of algorithms, models, and techniques tailored specifically for multimedia data. Through clear explanations and illustrative examples, readers will gain insights into how machine learning algorithms can be trained to extract meaningful patterns and insights from diverse forms of multimedia content. Moving beyond theory, this book delves into practical implementations and real-world applications of machine learning in multimedia. Through a series of case studies and examples, readers will witness firsthand how machine learning algorithms are transforming industries and reshaping the way we interact with multimedia content. Whether it's improving image recognition accuracy in autonomous vehicles, enabling personalized recommendations in streaming platforms, or enhancing speech recognition systems for better accessibility, the possibilities are limitless.

This book will be helpful to computer science, data science, and artificial intelligence, researchers, students, and professionals looking to unlock the full potential of visual and auditory intelligence through the power of machine learning.

See more
Current price €83.59
Original price €87.99
Save 5%
Age Group_Uncategorizedautomatic-updateB01=Annu SharmaB01=Bharat BhushanB01=J. SomasekarB01=Suman Kumar SwarnkarCategory1=Non-FictionCategory=THRCategory=UYFCategory=UYQMCategory=UYTCategory=UYZFCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 04 Dec 2024

Product Details
  • Dimensions: 156 x 234mm
  • Publication Date: 04 Dec 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032761480

About

Suman Kumar Swanrkar received a Ph.D. (CSE) degree in 2021 from Kalinga University Nayaraipur Chhattisgarh. He received an M.Tech. (CSE) degree in 2015 from the Rajiv Gandhi Proudyogiki Vishwavidyalaya Bhopal India. He has 12+ years of experience in Educational Institutes as an Assistant Professor. Currently associated with Shri Shankaracharya Institute of Professional Management & Technology Raipur as an Assistant Professor in Computer Science & Engineering Department. He has Guided 10+ MTech Scholars. He has published and granted an Indian/Australian patent some are waiting for a grant. He has authored and co-authored more than 50 journal articles including WOS & Scopus papers and presented research papers in 10 international conferences. He has completed many FDP Training webinars & workshops and also completed the 2-Weeks comprehensive online Patent Information Course. Proficiency in handling the Teaching Research as well as administrative activities. He has contributed massive literature in the fields of Intelligent Data Analysis Nature-Inspired Computing Machine Learning and Soft Computing.Annu Sharma is an Associate Professor in the Department of Computer Applications at RajaRajeswari College of Engineering. She holds a Masters degree in Computer Science and Applications from the Department of Computer Science and Applications University of Jammu J&K and a Ph.D. from the Department of Computer Science Gurukul Kangri University Haridwar Uttrakhand. She has more than 20 years of teaching experience at the Masters and Bachelors levels including working Executives. Before joining RRCE she had worked with Bangalore University IMT Faridabad Haryana Central University of Jammu J&K and Arya College Ludhiana Punjab. Her research interest include Biometrics Image Processing Bioinformatics IOT Cyber Security and Machine Learning. She has publications in various Scopus-indexed reputed International Journals and leading International Conferences.J. Somasekar received a Ph.D. degree in CSE from JNTUA Andhra Pradesh and M.Tech. degree from the National Institute of Technology Karnataka (NITK) Surathkal. He is currently working as a Professor of CSE Department JAIN (Deemed-to-be University) Bangalore and Post-doctoral Researcher at University of South Florida USA. As a resource person he has delivered 195 Technical talks for FDPs Workshops and Webinars in 13 states of the country. He got an All India Rank of 43 in the GATE exam. He has 16 years of experience in teaching and 6 years of experience in research. He has published more than 35 research articles in leading journals indexed in SCI & SCOPUS conference proceedings and 3 international textbook chapters. He is guiding five CSE Ph.D. research scholars. His research interest includes Image processing Data Science Machine Learning Big Data Analytics and ML for Cyber Security.Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at School of Engineering and Technology Sharda University Greater Noida India. He received his Undergraduate Degree (B-Tech in Computer Science and Engineering) with Distinction in 2012 received his Postgraduate Degree (M-Tech in Information Security) with Distinction in 2015 and Doctorate Degree (PhD Computer Science and Engineering) in 2021 from Birla Institute of Technology Mesra India. For the three consecutive years (2021 to 2023) Stanford University (USA) listed Dr. Bharat Bhushan in the top 2% scientists list. He earned numerous international certifications such as CCNA MCTS MCITP RHCE and CCNP. He has published more than 150 research papers in various renowned International Conferences and SCI indexed journals. He has contributed with more than 50 book chapters in various books and has edited 30 books from the most famed publishers. He is a series editor of 2 prestigious Scopus Indexed Book Series named CMIA (Computational Methods for Industrial Applications) and FGIS (Future Generation Information System) published by CRC Press Taylor and Francis USA. He has served as Keynote Speaker (resource person) in numerous reputed faculty development programs and international conferences held in different countries including India Iraq Morocco China Belgium and Bangladesh. He has served as a Reviewer/Editorial Board Member for several reputed international journals. In the past he worked as an assistant professor at HMR Institute of Technology and Management New Delhi and Network Engineer in HCL Infosystems Ltd. Noida.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept