PrAVRML 2020 : Pattern Recognition for Augmented and Virtual Reality Applications Using Machine and Deep Learning

Book title: Pattern Recognition for Augmented and Virtual Reality Using Machine and Deep Learning
Book Editors:
1. Dr. K. Martin Sagayam, Karunya Institute of Technology and Sciences, Coimbatore, India.
2. Dr. Lawrence Henesey, Blekinge Institute of Technology, Karlshamn, Sweden.
3. Dr. Victor Hugo C. de Albuquerque, University of Fundacao Edson Queiroz, Fortaleza-CE, Brazil
4. Dr. Immanueal A. Edinbarough, The University of Texas Rio Grande Valley, USA
Scope of the book:
This comprehensive edited advanced book will cover pattern recognition and machine and deep learning-based methods and techniques applied to augmented reality (AR) and virtual reality (VR). This topic has matured with very exciting developments and applications in real time including communications, streaming, interactive gaming, banking, security, e-commerce, education, telemedicine, etc. The goal of this new volume is to summarize the recent research advances in the field. We believe now is the time for an advanced book that will cover the state of the art in the field. Our aim is to edit a useful reference for a cross disciplinary audience working in AR/VR, Computer Vision, and Machine and Deep Learning research in both industry and academia. Each chapter is expected to be self-contained.
Topics of interest include (but not limited to):
Part I: Machine and Deep Learning Methods
 Deep Learned Biometric Features
 Convolutional Neural networks
 Deep Stacked Autoencoder
 Biometrics in Cybersecurity
 Biometrics in Cognitive Robot
 Healthcare Biometrics
 Medical Biometrics
 Biometrics in Social Computing
 Privacy and Security Issues
 Deep Face Detection
 Deep Face Recognition
 Iris, Fingerprints, DNA, Palm prints
Part II: Augmented and Virtual Reality Applications
 Healthcare & Medicine
 Education & training
 Gaming
 Entertainment & Sports
 Social Media
 Transport
 Military
 Manufacturing
 Tourism
 Hospitality
 Events
 Retail & Fashion
IMPORTANT DATES
One Page Abstract (with title, keywords and author details):
Abstract decision (acceptance/rejection) notification 30th October 2019
Submission of full chapter 28 February 2020
First review notification 15th April 2020
Submission of revised chapters (Latex or Word) 15thJune 2020
Tentative Publication Date Winter 2020
Please send your one-page outline (with an abstract of 100-200 words and 6 keywords) using the e-mail
addresses given above with the subject column “IET book chapter”. Upon acceptance, further instructions
about the IET book chapter format, guidelines and a contributor agreement will be send to you by e-mail.
We look forward to hearing back from you.
For further details, please contact us:
1. Dr. K. Martin Sagayam, Karunya Institute of Technology and Sciences, Coimbatore, India. Contact:+91-
9791435429; 8778425967 Email: [email protected], [email protected]
2. Dr. Lawrence Henesey, Blekinge Institute of Technology, Sweden. Contact: Email:
[email protected]
3. Dr. Victor Hugo C. de Albuquerque, University of Fundacao Edson Queiroz, Fortaleza-CE, Brazil,
Contact: Email: [email protected]
4. Dr. Immanueal A. Edinbarough, The University of Texas Rio Grande Valley, USA, Contact: Email:
[email protected]
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