Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence
5% Pre Publication Discount available until one month after release.

Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence

Chiranji Lal Chowdhary (Vellore Institute of Technology, India)
Projected Release Date: October, 2022|Copyright: © 2023 |Pages: 335
DOI: 10.4018/978-1-6684-5673-6
ISBN13: 9781668456736|ISBN10: 1668456737|EISBN13: 9781668456750|ISBN13 Softcover: 9781668456743
Hardcover:
Forthcoming
$256.50
List Price: $270.00
5% Discount:-$13.50
TOTAL SAVINGS: $13.50
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
(Multi-User License)
Forthcoming
$230.85
List Price: $270.00
10% Discount:-$27.00
5% Discount:-$12.15
TOTAL SAVINGS: $39.15
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
Hardcover +
E-Book:
(Multi-User License)
Forthcoming
$308.75
List Price: $325.00
5% Discount:-$16.25
TOTAL SAVINGS: $16.25
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
Softcover:
Forthcoming
$194.75
List Price: $205.00
5% Discount:-$10.25
TOTAL SAVINGS: $10.25
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Description & Coverage
Description:

Emotional intelligence has emerged as an important area of research in the artificial intelligence field as it covers a wide range of real-life domains. Though machines may never need all the emotional skills that people need, there is evidence to suggest that machines require at least some of these skills to appear intelligent when interacting with people. To understand how deep learning-based emotional intelligence can be applied and utilized across industries, further study on its opportunities and future directions is required.

Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence explores artificial intelligence applications, such as machine and deep learning, in emotional intelligence and examines their use towards attaining emotional intelligence acceleration and augmentation. It provides research on tools used to simplify and streamline the formation of deep learning for system architects and designers. Covering topics such as data analytics, deep learning, knowledge management, and virtual emotional intelligence, this reference work is ideal for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Emotional Intelligence
  • Business Process Management
  • Computational Intelligence
  • Data Analytics
  • Deep Learning
  • Emotional Intelligence
  • Human-Computer Interaction
  • Knowledge Management
  • Machine Learning
  • Sustainable Emotional Intelligence
  • Virtual Emotional Intelligence
Table of Contents
Search this Book:
Reset
Editor/Author Biographies
Chiranji Lal Chowdhary received his Ph.D. in information technology and engineering from VIT; his M.Tech. in computer science and engineering from MSRIT, VTU, Belagavi; and his B.E. in computer science and engineering from MBMEC, JNVU India. He is currently working as an Associate Professor in the SITE, VIT. He has 15 years of experience in academia and 6 months of experience in the industry. He has received research awards for publishing research papers in refereed journals from VIT 5 times consecutively. He has guided more than 20 graduate projects and more than 20 postgraduate level projects. His publications are indexed by the Clarivate Analytics, IEEE, SCOPUS, ACM, and other abstract and citation databases. He is a reviewer for many reputed journals. He is a life member of CSI, ISCA, and ISCA. He has published many papers in refereed journals and has attended international conferences. He has contributed many chapters and is currently in the process of editing books. He has written 3 books and edited 3 books with a reputed publisher. His current research included digital image processing, deep learning, pattern recognition, soft computing, and biometric systems.
Editorial Policy
In order to ensure the highest ethical practices are achieved for each book, IGI Global provides a full document of policies and guidelines that all editors, authors, and reviewers are expected to follow. View Full Editorial Policy
Peer Review Process
The peer review process is the driving force behind all IGI Global books and journals. All IGI Global reviewers maintain the highest ethical standards and each manuscript undergoes a rigorous double-blind peer review process, which is backed by our full membership to the Committee on Publication Ethics (COPE). The full publishing process and peer review are conducted within the IGI Global eEditorial Discovery® online submission system and on average takes 30 days. Learn More
Ethics & Malpractice
IGI Global affirms that ethical publication practices are critical to the successful development of knowledge. Therefore, it is the policy of IGI Global to maintain high ethical standards in all publications. These standards pertain to all books, journals, chapters, and articles accepted for publication. This is in accordance with standard scientific principles and IGI Global’s position as a source of scientific knowledge. Learn More
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.