AI for COVID-19: COVID-19 Pandemic – AI, IoT, Robotics, and modern tools to fight it |
Submission link | https://easychair.org/conferences/?conf=aiforcovid19 |
Poster | download |
Notification of Abstract Acceptance | July 10, 2020 |
Abstract registration deadline | July 15, 2020 |
Submission deadline | August 25, 2020 |
Submission of Camera Ready Paper | September 10, 2020 |
Aims & Scope
The COVID-19 has hit the global at a colossal scale. With worldwide reported cases of 5.34 million, and declared as pandemic by World Health Organization, it has led to severe impact on humanity. Being a highly contagious disease it has put up global health services to its severe challenges. Various countries are fighting to minimize the losses due to the outbreak, however a common trait is enforcing lockdown. Researchers are working round the clock to find a breakthrough in the diagnostics and treatment of the pandemic. The global lockdown has introduced new challenges and has led to formulation of new societal challenges.
The aim of this book is to publish state of art global research findings on impact of modern day technologies like Artificial Intelligence, Machine Learning, Deep Learning, data science, Robotics, Internet of Things, etc. in fighting against COVID-19
Submission Guidelines
Papers must be original and not simultaneously submitted to another journal or conference.
There are no Article Processing charges, or any type of fee associated with publication.
List of Topics
List of topics (not limited to)
- AI for COVID-19: The journey so farThe history of epidemics and evolution so far
- Tracing the origins of modern pandemic: COVID-19
- Impact of COVID-19 in higher education
- Machine learning for COVID-19: Diagnostics/treatments
- Deep learning for COVID-19: Diagnostic/treatments
- Predictor system for tracing COVID-19 spread
- Robotic agents based healthcare assistance in handling COVID-19 patients
- Tips on climate change due to suspended human activities during COVD-19 lockdown
- Assessing the economic impact of COVID-19
- Smart sanitizing systems for community sanitization
- Patient recovery and tracing repercussions of COVID 19 in discharged patients
- Ensuring social distancing through apps/IoT systems
Editors
Arpit Jain, PhD
University of Petroleum & energy Studies, India
Abhinav Sharma, PhD
University of Petroleum & energy Studies, India
Jianwu Wang, PhD
University of Maryland, Baltimore County, USA
Mangey Ram, PhD
Graphic Era (Deemed to be Univeristy), India
Contact
For any queries contact at: covid19.book.submission@gmail.com
For Indexing details, kindly visit: https://www.riverpublishers.com/#
SCOPUS indexing details: https://www.riverpublishers.com/news_details.php#113