Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence

ISBN 10: 1668456745 / ISBN 13: 9781668456743

Verlag: IGI Global, 2022

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Bibliografische Details

• Titel: Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence
• Verlag: IGI Global
• Erscheinungsjahr: 2022
• Sprache: Englisch
• ISBN-10: 1668456745
• ISBN-13: 9781668456743
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Chiranji Lal Chowdhary is a Professor in the SCORE at VIT University, where he has been since 2010. He received a B.E. (CSE) from MBM Engineering College (currently named MBM University) at Jodhpur, and M. Tech. (CSE) from the M.S. Ramaiah Institute of Technology in Bangalore. He received his PhD in Information Technology and Engineering from the VIT University Vellore. From 2006 to 2010 he worked at MSRIT in Bangalore, eventually as a Lecturer. His research interests span both computer vision and image processing. Much of his work has been on images, mainly through the application of image processing, computer vision, pattern recognition, machine learning, biometric systems, deep learning, soft computing, and computational intelligence. Professor Chowdhary is editor/co-editor of 8 books and is the author of over forty articles on computer science. He filed four patents deriving from his research. Austrian Science Fund (FWF), Vienna, Austria identified him as International Reviewer forlong-term funding projects at Austria. He also has an ongoing sponsored project from British council through SPARC as Co-PI.