ETCP 2021: Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics |
Submission link | https://easychair.org/conferences/?conf=etcp2021 |
Abstract registration deadline | July 10, 2021 |
Submission deadline | August 31, 2021 |
Call for Chapters
Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics
Edited by M. Rubaiyat Hossain Mondal, Utku Kose, V.B. Surya Prasath, Prajoy Podder, Subrato Bharati and Joarder Kamruzzaman
to be published by CRC Press
COVID-19 pandemic has significantly changed our lives. Countries are introducing social distancing measures, including lockdown, to avoid the spread of infection. Organisations are implementing new ways of continuing their business by facilitating work from home and avoiding contacts using the Internet of Medical Things (IoMT), Internet of Healthcare Things (IoHT) for remote monitoring. Schools and other educational institutes are implementing e-learning. Hospitals and health organisations are also using e-medicine and remote patient monitoring utilising IoMT and IoHT. Online shopping, contactless delivery and virtual social events are becoming popular. Authorities are using sensors for contact tracing, traffic control and safety. Thanks to secure and reliable cloud infrastructure to make these applications possible.The advances in IoT frameworks and sensor technologies together with AI are invaluable in the context of this pandemic, and nations and various entities around the globe are discovering innovative solutions to maintain businesses and help people live alongside Covid-19.This book will try to cover on all current technologies under the umbrella of AI or surrounding AI should be covered like Data Science, Big Data, Machine Learning, Semantic Technologies, Data Analytics, cyber security.
We cordially invite you to to contribute chapters in this book focused to the theme of Artificial Intelligence, IoMT and Data Analyitics in order to fight against the pandemic situation.The main feature of this book is to include different aspects of AI and IoMT that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoMT and IoHT-based integrated systems for managing pandemic situation such as COVID-19, social network analysis systems for fighting against the pandemic situation, radiological images (CT, X-ray, Ultrasound) based diagnosis system, and computational intelligence driven methods against COVID-19 patients in order to combat the pandemic situation.
Submission Guidelines
All submissions should be done by email to: subrato_eee@outlook.com or easy chair portal (https://easychair.org/conferences/?conf=etcp2021)
Easy Chair Submission Link: https://easychair.org/conferences/?conf=etcp2021
All papers must be original and not simultaneously submitted to another book project, journal or conference. Similarity rate should be max. 10% excluding the references (authors are suggested to submit similarity reports with the full chapters).
- Chapter will be of 14 to 18 pages only
- NO Publication or Processing Charges
- Permissions for images/figures (original images preferred): The author is responsible to get the permissions with the rights owner. We encourage authors to submit orginal images with high resoluton.
The following important dates will be considered for the submissions:
- Full Paper Submission: 05.08.2020
- (you may ask to subrato_eee@outlook.com for pre-proposal and details for full paper preparation)
List of Topics
The topics of interest include, but not limited to
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Intelligent Detection & Diagnosis of COVID-19 Cases
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Medical Imaging for Automated COVID-19 Risk Profiling
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AI To Analyze Pharmaceutical Interventions for COVID-19
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Predictive Models for Hospital Stays and Virtual Care
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Computational Genomic Sequencing for COVID-19
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Image Processing for Computational Intelligence against COVID-19
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AI Toward Improved Triage Process Prior SARS-COV-2 RT-PCR Test
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AI For Ambient Assisted Living Post-COVID-19
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AI for Psychological Support to Caregivers During COVID-19
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Impact of COVID-19 on Nervous System and Affective Computing
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Internet of Medical Things Toward COVID-19
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Mobile Apps and Decision Trees in COVID-19 Perspective
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Inter-Entity Data Exchange for COVID-19
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Data Security with Shareable EHR During COVID-19
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Future Scope of Artificial Intelligence in Healthcare For COVID-19
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Intelligent optimization and Computational Intelligence for pandemics
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Reinforcement Computational Intelligence for pandemics precautions
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Managerial applications by Computational Intelligence for COVID-19 and pandemics
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IoMT challenges and solutions
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Cloud technology and infrastructure
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Cloud computing applications
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Cloud computing challenges and solutions
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Machine learning for COVID-19: Diagnostics/treatments
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Deep learning for COVID-19: Diagnostic/treatments
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Robotic agents based healthcare assistance in handling COVID-19 patients
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Assessing the economic impact of COVID-19
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Smart sanitizing systems for community sanitization
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Patient recovery and tracing repercussions of COVID 19 in discharged patients
Editors
- M. Rubaiyat Hossain Mondal, PhD. (Bangladesh University of Engineering and Technology, Dhaka, Bangladesh)
- Utku Kose, PhD. (Suleyman Demirel University, Turkey)
- V. B. Surya Prasath, PhD. (Cincinnati Chilren's Hospital Medical Center, USA)
- Prajoy Podder (Bangladesh University of Engineering and Technology, Dhaka, Bangladesh)
- Subrato Bharati (Bangladesh University of Engineering and Technology, Dhaka, Bangladesh)
- Joarder Kamruzzaman, PhD. (Federation University Australia, Australia)
Publication
'Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics' will be published by CRC Press (Taylor & Francis Group, LLC, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, Florida 33487, U.S.A.).
Contact
All questions about submissions should be emailed to subrato_eee@outlook.com