Message from EAI President regarding COVID-19
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EAI Aiscovid-19 2020 will be held as a fully-fledged online conference.

Due to the safety concerns and travel restrictions caused by COVID-19, EAI Aiscovid-19 2020 will take place online in a live stream.
Participants will still be able to enjoy unique interactive benefits – learn more.

December 2-4, 2020
Viana do Castelo, Portugal Virtual Space


This conference is a part of SmartCity360° 2020


Indexing - Submitted for inclusion in:
Ei Compendex, ISI Web of Science, Scopus, CrossRef,
Google Scholar, DBLP, and more.
Publication
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Paper Submission is now open for EAI AISCOVID-19 2020! Check out the Call for Papers.
EAI AISCOVID-19 2020 supports revolutionary EAI Community Review, find out more here.
Every author receives EAI Index credits – regardless of acceptance. Learn more about EAI’s Recognition Program here.
Get real feedback on your presentation from other registrants via EAI Compass.

Welcome to the EAI Community

Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:

  • Extra visibility for your paper and fair review  →  Community Review
  • Get credits to receive membership ranks and global recognition  →  EAI Index
  • Real-time evaluation and feedback on your presentation on-site  →  EAI Compass

Publication

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

AISCOVID-19 2020 proceedings will be submitted for publication in:

Authors of selected papers will be invited to submit an extended version to:

Additional publication opportunities:

Topics

  • AI in the Internet of Medical Things (IoMT)
  • AI in IoT-oriented medical applications
  • AI and IoT paradigms in sustainable education systems
  • AI/IoT solutions in smart cities traffic systems
  • Deep Learning for COVID-19 and alike diagnosis,
  • Neural Network for medical diagnosis,
  • AI-oriented Internet hospital and online diagnosis
  • Collaboration of Image Progressing and ML for COVID-19 and alike diagnosis,
  • Collaboration of Computer Communication and ML for COVID-19 and alike diagnosis,
  • Use cases of computer-assisted COVID-19 and alike detection systems,
  • COVID-19 Patient Care and Treatment using ML-oriented systems,
  • Emerging Networks solutions for improved medical diagnosis results,
  • Intelligent Hardware solutions for COVID-19 and alike diagnosis,
  • Effective use of computer communication and ML for solving open medical problems,
  • Next Generation Networks (NGNs) and ML solutions for medical diagnosis.
  • Security and privacy aspects in medical diagnosis.

About AISCOVID-19 2020

COVID-19, known as the Corona Virus Disease 19, is a disease which created a significant impact by being a cause of death to the majority of the deceased population of the world in 2019-2020. The primary source for the transmission of the disease, detection and treatment methods are still unknown. Lots of the details about this virus is still missing. How it spreads, prevention measures and vaccinations issues need to be further investigated. In this field, Artificial Intelligence (AI) and computer-assisted paradigms can play a key role in achieving many effective and efficient solutions. Such intelligent techniques can achieve very effective diagnosis for the COVID-19 and alike diseases in the biomedical field by even being better than physicians. It can examine extended counts of the possibilities and exchange the found results in timely manners. Current smart cities infrastructure includes a number of smart devices having the sensing and data routing capabilities to communicate with each other using various protocols, allowing the disease updates to be accessed any-time from anywhere. They have the potential to provide innovative services which could not be possible without the progress made in the AI field.

This venue aims to solicit original research articles, which contributes to the current state of the art by reporting results for the used AI techniques in the problem scope of computer networks-assisted COVID-19 and alike diagnosis. It will shed the light on potential mobile Internet, big data, artificial intelligence, cloud computing and other modern information technology that can build the required online and cost-efficient medical service platforms.

About EAI

This event is organized by EAI.

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.

EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.

EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.

Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.

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