会议信息

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

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截稿日期:
2020-06-22
通知日期:
2020-08-03
会议日期:
2020-12-02
会议地点:
Viana do Castelo, Portugal
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证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-07

征稿

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.
由 Dou Sun 最后更新于

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