This paper presents a novel framework that leverages Graph Convolutional Neural Networks (GCNNs) to enhance the detection of COVID19 from CT scan and X-Ray images. Hence, the GCNN parameters were tuned by the hybrid optimization to gain a more exact detection....
COVID-19 in Italy Mortality Hospitalizations and recoveries COVID-19 vaccine Impact on economy The most important statistics Coronavirus (COVID-19) active case, recoveries, deaths in Italy as of September 2024 Cumulative number of coronavirus (COVID-19) cases in Italy as of September 2024 ...
We first built a comprehensive COVID-19 knowledge graph that represents interactions between SARS-CoV-2 baits, host genes, pathways, targets, drugs (including experimental compounds), and phenotype (Fig.1b,Methods 1). We then derived embedding for each drug, gene, phenotype, and SARS-CoV-2 b...
Additionally, the book includes the interfaces of graph theory, stochastic processes, and dynamic systems. 3. Preliminary analysis In this section, the study explores the COVID-19 parameters for financial analyses presented in Sections 4 and 5. 3.1. Positive rates Positive rate is an important CO...
發行項 2024/10/16 5 位參與者 意見反應 本文內容 資料集 資料量 資料來源 資料品質 顯示其他 7 個 Oxford Covid-19 Government Response Tracker (OxCGRT) 資料集包含有關哪些政府在何時採取了哪些措施的系統化資訊。這項資訊有助於決策者和公民以一致的方式了解政府對於疫情的回應,並共同努力對...
Epidemic Analysis of COVID-19 in South Korea Based On Spatiotemporal Geographic Information and Graph Databases 来自 IEEEXplore 喜欢 0 阅读量: 34 作者: Y Yang 摘要: Since the first coronavirus case was identified in January of 2020, the COVID-19 outbreak seriously threatens the public health ...
Computer-aided diagnosis has been extensively investigated for more rapid and accurate screening during the outbreak of COVID-19 epidemic. However, the challenge remains to distinguish COVID-19 in the complex scenario of multi-type pneumonia classification and improve the overall diagnostic performance....
In this paper, we design and apply the Long Short-Term Memory (LSTM) neural network approach to predict several financial classes’ time series under COVID-19 pandemic crisis period. We use the S&P GSCI commodity indices and their sub-indices and con
COVID-19 has emerged as a widely researched topic and the academia has taken interest in the effects of COVID-19 in various sectors of human life and socie
Light recovered slightly from May to June (numbers 8 and 9 in the graph); during this period, the number of COVID-19 confirmed cases in China decreased, and this suggests the possibility of a resumption of economic activities in the respective region. Fig. 4 Night-time light response to ...