Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic [0.03%]
基于不完全Pythagorean模糊偏好关系的COVID-19疫情期间地铁站安全管理方法研究
Zhenyu Zhang,Huirong Zhang,Lixin Zhou et al.
Zhenyu Zhang et al.
Completing the Pythagorean fuzzy preference relations (PFPRs) based on additive consistency may exceed the defined domain. Therefore, we develop a group decision-making (GDM) method with incomplete PFPRs. Firstly, sufficient conditions for ...
Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19 [0.03%]
利用自适应集成学习模型打击仇恨言论的案例研究：以COVID-19为例
Shivang Agarwal,C Ravindranath Chowdary
Shivang Agarwal
Social media platforms generate an enormous amount of data every day. Millions of users engage themselves with the posts circulated on these platforms. Despite the social regulations and protocols imposed by these platforms, it is difficult...
A novel multi-attribute decision-making for ranking mobile payment services using online consumer reviews [0.03%]
基于在线消费者评论的移动支付服务排序多属性决策方法研究
Adjei Peter Darko,Decui Liang,Zeshui Xu et al.
Adjei Peter Darko et al.
The onset of the COVID-19 pandemic has changed consumer usage behavior towards mobile payment (m-payment) services. Consumer usage behavior towards m-payment services continues to increase due to access to usage experiences shared through o...
A novel rumor detection with multi-objective loss functions in online social networks [0.03%]
一种新颖的带有多目标损失函数的在线社交网络谣言检测方法
Pengfei Wan,Xiaoming Wang,Guangyao Pang et al.
Pengfei Wan et al.
COVID-19 quickly swept across the world, causing the consequent infodemic represented by the rumors that have brought immeasurable losses to the world. It is imminent to achieve rumor detection as quickly and accurately as possible. However...
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds [0.03%]
Fruit-CoV：通过录制的咳嗽声音实现SARS-CoV-2感染的快速检测和诊断的有效视觉框架
Long H Nguyen,Nhat Truong Pham,Van Huong Do et al.
Long H Nguyen et al.
COVID-19 is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This deadly virus has spread worldwide, leading to a global pandemic since March 2020. A recent variant of SARS-CoV-2 named Delta ...
Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images [0.03%]
使用黑猩猩优化算法改进的深度卷积神经网络从X光图像进行Covid19诊断
Chengfeng Cai,Bingchen Gou,Mohammad Khishe et al.
Chengfeng Cai et al.
Applying Deep Learning (DL) in radiological images (i.e., chest X-rays) is emerging because of the necessity of having accurate and fast COVID-19 detectors. Deep Convolutional Neural Networks (DCNN) have been typically used as robust COVID-...
Yong Wang,Xiuwen Wang,Jianxin Fan et al.
Yong Wang et al.
During natural disasters or accidents, an emergency logistics network aims to ensure the distribution of relief supplies to victims in time and efficiently. When the coronavirus disease 2019 (COVID-19) emerged, the government closed the out...
Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19 [0.03%]
用于处理多阈值图像问题的增强型Crow搜索算法及其在COVID-19 X射线图像中的应用
Songwei Zhao,Pengjun Wang,Ali Asghar Heidari et al.
Songwei Zhao et al.
COVID-19 is pervasive and threatens the safety of people around the world. Therefore, now, a method is needed to diagnose COVID-19 accurately. The identification of COVID-19 by X-ray images is a common method. The target area is extracted f...
Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic [0.03%]
设计新冠肺炎疫情期间疫苗供应链的优化模型
Jaber Valizadeh,Shadi Boloukifar,Sepehr Soltani et al.
Jaber Valizadeh et al.
The COVID-19 pandemic has affected people's lives worldwide. Among various strategies being applied to addressing such a global crisis, public vaccination has been arguably the most appropriate approach to control a pandemic. However, vacci...
COVID-19 forecasting using shifted Gaussian Mixture Model with similarity-based estimation [0.03%]
基于相似性估计的偏移高斯混合模型在新冠肺炎疫情预测中的应用研究
Emre Külah,Yusuf Mücahit Çetinkaya,Arif Görkem Özer et al.
Emre Külah et al.
The COVID-19 pandemic has caused a pronounced disturbance in the social environments and economies of many countries worldwide. Credible forecasting methods to predict the pandemic's progress can allow countries to control the disease's spr...