Necessity is the mother of invention; challenging times can provide new opportunities that must be detected and exploited at the right moments. The COVID-19 pandemic has demonstrated that it is not only an issue of healthcare but also a challenge for the global economy, business, and society. Organizations have rapidly deployed technology solutions that enable them to work and service remotely and continue most of their normal operations.

The Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises focuses on emerging technologies and systems, strategies, and solutions for e-collaboration. This book assesses the importance of technologies and systems for e-collaboration in dealing with emerging crises such as pandemics. Covering topics such as deep learning processes, machine vision, and profit-sharing models, it is an essential resource for computer scientists, public officials, engineers, students and professors of higher education, healthcare administration, programmers, researchers, and academicians.

Coverage:

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

Big Data
College Students
Deep Learning Processes
Internet of Things
Machine Vision
Mining Perspectives
News Credibility
Profit-Sharing Models
Security Challenges
Social Media Indulgence
Social Networks
Weed Detection

Table of Contents

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Editor/Author Biographies

Jingyuan Zhao is a Research Fellow at the Department of Political Science, University of Toronto. She was a professor at School of Management, Beijing Union University, China. Her PhD is in Management Science and Engineering from the Chinese Academy of Sciences and University of Science and Technology of China. She completed two Postdoctoral Programs in Technology Economy and Management from Harbin Institute of Technology, China, and Management of Technology from University of Quebec at Montreal, Canada. Dr. Zhao’s expertise is on regional innovation management, high-tech industry cluster, knowledge management, technology diffusion, organizational learning.

V. Vinoth Kumar is an Associate Professor in the Department of Computer Science and Engineering in MVJ College of Engineering, Bangalore, India. He is a highly qualified individual with around 8 years of rich expertise in teaching, entrepreneurship, and research and development with specialization in computer science engineering subjects. He has been a part of various seminars, paper presentations, research paper reviews, and conferences as a convener and a session chair, a guest editor in journals and has co-authored several books and papers in national, international journals and conferences. He is a professional society member for ISTE, IACIST and IAENG. He has published more than 15 articles in National and International journals, 10 articles in conference proceedings and one article in book chapter. He has filed Indian patent in IoT Applications. His Research interest includes Mobile Adhoc Networking and IoT.

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