Predicting economic resilience of territories in Italy during the COVID-19 first lockdown [0.03%]
预测意大利在COVID-19首次封锁期间各地区的经济韧性
Francesco Pierri,Francesco Scotti,Giovanni Bonaccorsi et al.
Francesco Pierri et al.
This paper aims to predict the economic resilience to crises of territories based on local pre-existing socioeconomic characteristics. Specifically, we consider the case of Italian municipalities during the first wave of the COVID-19 pandem...
ACO-KELM: Anti Coronavirus Optimized Kernel-based Softplus Extreme Learning Machine for Classification of Skin Cancer [0.03%]
基于抗冠状病毒优化核的软 plus 极限学习机的皮肤癌分类算法 ACO-KELM
Nannan Liu,M R Rejeesh,Vinu Sundararaj et al.
Nannan Liu et al.
Due to the presence of redundant and irrelevant features in large-dimensional biomedical datasets, the prediction accuracy of disease diagnosis can often be decreased. Therefore, it is important to adopt feature extraction methodologies tha...
Emergent multipath COVID-19 specimen collection problem with green corridor through variable length GA [0.03%]
基于变长度遗传算法的绿色采集通道突发性多路径COVID-19样本收集问题
Somnath Maji,Kunal Pradhan,Samir Maity et al.
Somnath Maji et al.
The COVID-19 pandemic has spread worldwide exponentially. Typically, for testing, a provincial main government hospital cum testing center collects patients' specimens from remote health centers in the minimum possible time, satisfying the ...
Deep learning based hybrid prediction model for predicting the spread of COVID-19 in the world's most populous countries [0.03%]
基于深度学习的混合预测模型，用于预测人口最多的国家COVID-19的传播情况
Anil Utku
Anil Utku
COVID-19 has a disease and health phenomenon and has sociological and economic adverse effects. Accurate prediction of the spread of the epidemic will help in the planning of health management and the development of economic and sociologica...
Loukas Samaras,Elena García-Barriocanal,Miguel-Angel Sicilia
Loukas Samaras
Background: Syndromic surveillance with the use of Internet data has been used to track and forecast epidemics for the last two decades, using different sources from social media to search engine records. More recently, s...
Combating the COVID-19 infodemic using Prompt-Based curriculum learning [0.03%]
基于提示的课程学习在疫情谣言治理中的应用研究
Zifan Peng,Mingchen Li,Yue Wang et al.
Zifan Peng et al.
The COVID-19 pandemic has been accompanied by a proliferation of online misinformation and disinformation about the virus. Combating this 'infodemic' has been identified as one of the top priorities of the World Health Organization, because...
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19 [0.03%]
基于并行CNN-ELM的胸部X光图像十七类肺疾病包括新冠肺炎分类研究
Md Nahiduzzaman,Md Omaer Faruq Goni,Rakibul Hassan et al.
Md Nahiduzzaman et al.
Numerous epidemic lung diseases such as COVID-19, tuberculosis (TB), and pneumonia have spread over the world, killing millions of people. Medical specialists have experienced challenges in correctly identifying these diseases due to their ...
Optimizing the COVID-19 cold chain vaccine distribution network with medical waste management: A robust optimization approach [0.03%]
基于医疗废物管理优化COVID-19疫苗冷链配送网络的鲁棒优化方法研究
Eyüp Ensar Işık,Seyda Topaloglu Yildiz
Eyüp Ensar Işık
This paper investigates the distribution problem of the COVID-19 vaccine at the provincial level in Turkey and the management of medical waste, considering the cold chain requirements and the perishable nature of vaccines. In this context, ...
COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs [0.03%]
基于新型通道增强CNN的新型冠状病毒肺炎CT图像检测与分析
Saddam Hussain Khan,Javed Iqbal,Syed Agha Hassnain et al.
Saddam Hussain Khan et al.
In December 2019, the global pandemic COVID-19 in Wuhan, China, affected human life and the worldwide economy. Therefore, an efficient diagnostic system is required to control its spread. However, the automatic diagnostic system poses chall...
Reducing radiation dose for NN-based COVID-19 detection in helical chest CT using real-time monitored reconstruction [0.03%]
利用实时监控重建减少基于神经网络的胸部螺旋CT中新冠肺炎检测的辐射剂量
Konstantin B Bulatov,Anastasia S Ingacheva,Marat I Gilmanov et al.
Konstantin B Bulatov et al.
Computed tomography is a powerful tool for medical examination, which plays a particularly important role in the investigation of acute diseases, such as COVID-19. A growing concern in relation to CT scans is the radiation to which the pati...