SCTV-UNet: a COVID-19 CT segmentation network based on attention mechanism [0.03%]
基于注意机制的COVID-19 CT分割网络SCTV-UNet
Xiangbin Liu,Ying Liu,Weina Fu et al.
Xiangbin Liu et al.
The global outbreak of COVID-19 has become an important research topic in healthcare since 2019. RT-PCR is the main method for detecting COVID-19, but the long detection time is a problem. Therefore, the pathological study of COVID-19 with ...
A novel deep learning-based approach for detecting attacks in social IoT [0.03%]
一种基于深度学习的社交物联网攻击检测方法
R Mohan Das,U Arun Kumar,S Gopinath et al.
R Mohan Das et al.
In the innovative concept of the "Social Internet of Things" (IoT), the IoT is combined with social platforms so that inanimate devices can form their interactions with one another. Still, customers have a wary attitude toward this new stan...
Retraction Note: Weather indicators and improving air quality in association with COVID-19 pandemic in India [0.03%]
撤回 notice:与印度新冠肺炎疫情相关的天气指标和改善空气质量
Rabin Chakrabortty,Subodh Chandra Pal,Manoranjan Ghosh et al.
Rabin Chakrabortty et al.
[This retracts the article DOI: 10.1007/s00500-021-06012-9.]. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer...
Retraction of Publication
Soft computing. 2023 May 29:1-2. DOI:10.1007/s00500-023-08596-w 2023
A secured IoT-based intelligent transport system (IoT-ITS) framework based on cognitive science [0.03%]
基于认知科学的物联网智能交通系统（IoT-ITS）安全框架
H Karthikeyan,G Usha
H Karthikeyan
As intelligent transport systems (ITS) is the advanced format of Vehicle Ad-hoc Network (VANET), it provides extended support in all the traffic management processes. Afterward, the salient features of the Internet of Things (IoT) are incor...
Assessing the role of artificial intelligence in the mental healthcare of teachers and students [0.03%]
评估人工智能在教师和学生心理健康护理中的作用
Ling Lei,Junfeng Li,Wenrui Li
Ling Lei
The integration of artificial intelligence (AI)-grounded procedures and the Internet of Things (IoT) is very important in the advancement of smart and intelligent paradigms. These techniques can be applied very efficiently for the developme...
A novel fractional discrete grey model with variable weight buffer operator and its applications in renewable energy prediction [0.03%]
一种新的分数离散灰色模型及其在可再生能源预测中的应用变量权重缓冲操作器
Yong Wang,Pei Chi,Rui Nie et al.
Yong Wang et al.
With the continuous depletion of global fossil energy, optimizing the energy structure has become the focus of attention of all countries. With the support of policy and finance, renewable energy occupies an important position in the energy...
An optimization method for studying fractional-order tuberculosis disease model via generalized Laguerre polynomials [0.03%]
基于广义勒让德多项式研究分数阶肺结核疾病模型的优化方法
Z Avazzadeh,H Hassani,P Agarwal et al.
Z Avazzadeh et al.
Tuberculosis (TB) is a deadly contagious disease that affects vital organs of the body, especially the lungs. Although the disease is preventable, there are still concerns about its continued spread. Without effective prevention or appropri...
An approach for joint optimization of probabilistic group test based on cost and time value: taking nucleic acid detection of COVID-19 as an example [0.03%]
基于成本和时间价值的联合优化概率分组检测方法——以新冠病毒核酸检验为例
Qianli Ma,Zihui Gao,Shuai Shao et al.
Qianli Ma et al.
In recent years, the world has encountered many epidemic impacts caused by various viruses, COVID-19 has spread and mutated globally since its outbreak in 2019, causing global impact. Nucleic acid detection is an important means for the pre...
Securing health care data through blockchain enabled collaborative machine learning [0.03%]
基于区块链的协作机器学习在医疗健康数据保护中的应用研究
C U Om Kumar,Sudhakaran Gajendran,V Balaji et al.
C U Om Kumar et al.
Transferring of data in machine learning from one party to another party is one of the issues that has been in existence since the development of technology. Health care data collection using machine learning techniques can lead to privacy ...
TODIM-VIKOR method based on hybrid weighted distance under probabilistic uncertain linguistic information and its application in medical logistics center site selection [0.03%]
基于概率不确定语言信息的混合加权距离下TODIM-VIKOR法及其在医学物流中心选址中的应用
Fan Lei,Qiang Cai,Ningna Liao et al.
Fan Lei et al.
At a time of global epidemic control, the location of the medical logistics distribution center (MLDC) has an important impact on the operation of the entire logistics system to reduce the operating costs of the company, enhance the service...