STOV-19: Smart Technologies to Overcome the Battle Against Covid-19 |
Submission link | https://easychair.org/conferences/?conf=stov19 |
Abstract registration deadline | April 30, 2024 |
Submission deadline | June 30, 2024 |
Many technologies have emerged in recent times and that too at greater space. These technologies have emerged to overcome the need for growing data on the Internet. With the sudden emergence of worldwide COVID-19 (coronavirus disease), these technologies are providing great support to patients. Technologies like artificial intelligence, deep learning, machine learning, osmotic computing, and even more are playing an important role in Covid-19. The use of these technologies leads to the expansion of robots and humanoids across the globe, to help combat the menace of Covid-19 that has taken many lives. In present times, robots are working in large numbers of hospitals to fight against this deadly disease. Delivery drones are also an effective technology working during this pandemic times. Many different solutions have been proposed to address the issues and challenges of overcoming the battle of Covid-19. However, they are not properly designed to address the emerging needs of society. Many service parameters are yet uncovered that need to be focused for the enhancement of quality of services like scalability issues, secure migration issues, intelligent systems, issues arising during resource allocation and scheduling, manufacturing issues, authentication and authorization issues, minimization of energy efficiency, and reduction of computational costs. Therefore, the use of appropriate technology for COVID-19 is the key, especially for emerging factories in the world of “smart” devices. This proposed book will solicit original contributions on novel COVID-19 recovery methods and tools, enhancing security and privacy, use of artificial intelligence in COVID-19, and applications of AI-based technology for improvements towards COVID-19 pandemic disease. This book will also seek contributions motivated by taking real-world society and deployment problems and theoretical works that have clear intentions for practical applications towards COVID-19. The requirements of emerging techniques in COVID-19 and the innovation of machine learning artificial intelligence etc. should be an efficient and safe way out to pursue COVID-19. This book seeks to bring researchers, scholars, and participators towards technology factors to overcome the battle of COVID-19 as well as to address challenges and present effective solutions in the growing technological world. Therefore, we believe this book will provide vital insight for researchers and developers. This book will provide a high level of understanding of the emerging technologies in the ongoing pandemic disease of COVID-19 worldwide. Technology plays an important role in almost all spheres of human life, especially in the healthcare sector. The book aims to provide a deeper understanding of how the use of technology overcomes the battle of COVID-19 worldwide. The relevant aspects of artificial intelligence have a great impact on each other’s efficacy for better output. Readers may discover: A reliable and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of applications of AI. Designed to provide a deeper understanding of the technical aspects of overcoming the COVID-19 pandemic disease with the use of robots etc, it examines education powered by AI, Entertainment and Artificial Intelligence, Home and Service Robots, the emergence of Machine Learning and Deep Learning, and the many others. Through the book, the authors will provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This will help the human to overcome COVID-19. The authors bring this exciting field to life by presenting a substantial and robust introduction to technology to overcome COVID-19 in a clear and concise course book form. Therefore, this book will aim to provide relevant theoretical frameworks and the latest empirical research findings in the area. It will be written for professionals who want to improve their understanding of the strategic role of COVID-19 overcoming at different levels of the information and knowledge society, that is, remedies to overcome COVID-19 with the use of technology.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers
List of Topics
- Covid-19 Coverage and its Remedies
- Integration of Smart Technologies in Covid-19
- An Overview of Security Issues and Challenges involved in systems for Covid-19
- Methods for Smart Real-Time Data Analytics Using IntelligentSystems for Covid-19
- Model-Based Design Framework of Intelligent Systems
- Distributed Computing Management of Intelligent Systems forCovid-19
- Control and Optimization of Intelligent Systems
- Service Models in Intelligent Systems for Covid-19
- Data Privacy Issues in Distributed Environments
- Intelligent Systems for Covid-19: A Comprehensive Review
- Intelligent Systems Framework for Covid-19
- Problems and methods involved in Intelligent Systems for Covid-19
- Existing Studies on Intelligent Approaches for COVID-19 based Systems
- Applications of Intelligent Systems for Covid-19
- Advancements of Intelligent Systems for Covid-19
- Future Health Workers as Intelligent Systems for Covid-19
- Future of Intelligent Systems for Covid-19
Committees
- Dr. Deepak Kumar Jain, Dalian University of Technology, Dalian, China,Email: dkj@ieee.org
- Dr. Simar Preet SinghAffiliation: Assistant Professor, School of Computer Science Engineering and Technology (SCSET), Bennett University, Greater Noida, Email: dr.simarpreetsingh@gmail.com
- Prof. Panos LiatsisAffiliation: Professor, Khalifa University, UAE, Email: panos.liatsis@ku.ac.ae
- Prof. Patrick Siarry, Laboratoire Images, Signaux et Systèmes Intelligents, the Université de Paris 12, Creteil Cedex94010, France, Email: siarry@u-pec.fr
Contact
All questions about submissions should be emailed to dkj@ieee.org