COVID-19 and Networks [0.03%]
COVID-19与网络关系
Tsuyoshi Murata
Tsuyoshi Murata
Ongoing COVID-19 pandemic poses many challenges to the research of artificial intelligence. Epidemics are important in network science for modeling disease spread over networks of contacts between individuals. To prevent disease spread, it ...
Harsuminder Kaur Gill,Vivek Kumar Sehgal,Anil Kumar Verma
Harsuminder Kaur Gill
Novel Coronavirus (COVID-19) has become one of the deadliest pandemics that has affected almost all the nations in the world. Lockdown and systematic re-opening of shopping malls, offices, etc. is still one of the major weapons against this...
An Interval-Valued Intuitionistic Hesitant Fuzzy Methodology and Application [0.03%]
一种区间值直觉犹豫模糊方法及其应用研究
Shailendra Kumar Bharati
Shailendra Kumar Bharati
Using advantages of interval-valued intuitionistic hesitant fuzzy sets (IVIHFS) for describing the hesitant and intuitionistic decisions of experts and identifying the limitations of previous research works about optimization techniques, th...
Satyabrata Dash,Sujata Chakravarty,Sachi Nandan Mohanty et al.
Satyabrata Dash et al.
A new pandemic attack happened over the world in the last month of the year 2019 which disrupt the lifestyle of everyone around the globe. All the related research communities are trying to identify the behaviour of pandemic so that they ca...
Cloud-Based Zero Trust Access Control Policy: An Approach to Support Work-From-Home Driven by COVID-19 Pandemic [0.03%]
基于云端的零信任访问控制策略：一种支持COVID-19大流行病驱动远程工作的方法
Sudakshina Mandal,Danish Ali Khan,Sarika Jain
Sudakshina Mandal
The ubiquitous cloud computing services provide a new paradigm to the work-from-home environment adopted by the enterprise in the unprecedented crisis of the COVID-19 outbreak. However, the change in work culture would also increase the cha...
Computer-Aided-Diagnosis as a Service on Decentralized Medical Cloud for Efficient and Rapid Emergency Response Intelligence [0.03%]
去中心化医学云上的计算机辅助诊断服务实现高效快捷的应急响应智能
Amirhossein Peyvandi,Babak Majidi,Soodeh Peyvandi et al.
Amirhossein Peyvandi et al.
The COVID-19 pandemic resulted in a significant increase in the workload for the emergency systems and healthcare providers all around the world. The emergency systems are dealing with large number of patients in various stages of deteriora...
Leveraging Artificial Intelligence (AI) Capabilities for COVID-19 Containment [0.03%]
利用人工智能技术助力新冠肺炎疫情防控政策研究与评估
Chellammal Surianarayanan,Pethuru Raj Chelliah
Chellammal Surianarayanan
The Coronavirus disease (COVID-19) is an infectious disease caused by the newly discovered Severe Acute Respiratory Syndrome Coronavirus two (SARS-CoV-2). Most of the people do not have the acquired immunity to fight this virus. There is no...
Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI [0.03%]
基于SARI的巴西各州COVID-19病例低估评估模型
Balthazar Paixão,Lais Baroni,Marcel Pedroso et al.
Balthazar Paixão et al.
Due to its impact, COVID-19 has been stressing the academy to search for curing, mitigating, or controlling it. It is believed that under-reporting is a relevant factor in determining the actual mortality rate and, if not considered, can ca...
XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks [0.03%]
基于卷积神经网络的COVID-19早期检测胸部X光片分类法
Vishu Madaan,Aditya Roy,Charu Gupta et al.
Vishu Madaan et al.
COVID-19 (also known as SARS-COV-2) pandemic has spread in the entire world. It is a contagious disease that easily spreads from one person in direct contact to another, classified by experts in five categories: asymptomatic, mild, moderate...
Nonita Sharma,Jaiditya Dev,Monika Mangla et al.
Nonita Sharma et al.
The manuscript presents a bragging-based ensemble forecasting model for predicting the number of incidences of a disease based on past occurrences. The objectives of this research work are to enhance accuracy, reduce overfitting, and handle...