Multimedia Data Processing and Computing (Innovations in Multimedia, Virtual Reality and Augmentation)

Synopsis

This book focuses on different applications of multimedia with supervised and unsupervised data engineering in the modern world. It includes AI-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, manufacturing, data science, automation in electronics industries, and many more relevant fields. Multimedia Data Processing and Computing provides a complete introduction to machine learning concepts, as well as practical guidance on how to use machine learning tools and techniques in real-world data engineering situations. It is divided into three sections. In this book on multimedia data engineering and machine learning, the reader will learn how to prepare inputs, interpret outputs, appraise discoveries, and employ algorithmic strategies that are at the heart of successful data mining. The chapters focus on the use of various machine learning algorithms, neural net- work algorithms, evolutionary techniques, fuzzy logic techniques, and deep learning techniques through projects, so that the reader can easily understand not only the concept of different algorithms but also the real-world implementation of the algorithms using IoT devices. The authors bring together concepts, ideas, paradigms, tools, methodologies, and strategies that span both supervised and unsupervised engineering, with a particular emphasis on multimedia data engineering. The authors also emphasize the need for developing a foundation of machine learning expertise in order to deal with a variety of real-world case studies in a variety of sectors such as biological communication systems, healthcare, security, finance, and economics, among others. Finally, the book also presents real-world case studies from machine learning ecosystems to demonstrate the necessary machine learning skills to become a successful practitioner. The primary users for the book include undergraduate and postgraduate students, researchers, academicians, specialists, and practitioners in computer science and engineering. 　 　 　 　 　 　 　 　 　

Copyright:

2023

Book Details

Book Quality:

Publisher Quality

Book Size:

176 Pages

ISBN-13:

9781000996500

Related ISBNs:

9781032488882, 9781003391272, 9781032469317

Publisher:

CRC Press

Date of Addition:

11/28/23

Copyrighted By:

selection and editorial matter, Suman Kumar Swanrkar, J P Patra, Tien Anh Tran, Bharat Bhushan, and Santosh Biswas individual chapters, the contributors

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Suman Kumar Swarnkar

Edited by:

J P Patra

Edited by:

Tien Anh Tran

Edited by:

Bharat Bhushan

Edited by:

Santosh Biswas