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AISCOVID 2020: EAI International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities

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AISCOVID
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投稿締切日:
2020-06-22
通知日:
2020-08-03
開催日:
2020-12-02
開催地:
Viana do Castelo, Portugal
閲覧: 12060   フォロー: 0   参加: 0

論文募集

AISCOVID 2020 (EAI International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities) is an academic conference held in Viana do Castelo, Portugal on 2020-12-02. The paper submission deadline is 2020-06-22. Acceptance notifications are sent on 2020-08-03.

Scope 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. Topics The works that will be presented at conference will focus on the following 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.
最終更新：Dou Sun（）

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Journal of Computer Assisted Learning4.6Wiley0266-4909
Computer Assisted Language Learning6.6Taylor & Francis0958-8221
AArtificial Intelligence4.6Elsevier0004-3702
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

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