Social media-based COVID-19 sentiment classification model using Bi-LSTM [0.03%]
基于社交网络的COVID-19情绪分类模型使用Bi-LSTM
Mohamed Arbane,Rachid Benlamri,Youcef Brik et al.
Mohamed Arbane et al.
Internet public social media and forums provide a convenient channel for people concerned about public health issues, such as COVID-19, to share and discuss information/misinformation with each other. In this paper, we propose a natural lan...
Using gravity model to make store closing decisions: A data driven approach [0.03%]
基于重力模型的数据驱动式门店关闭决策方法研究
Mohsen Bahrami,Yilun Xu,Miles Tweed et al.
Mohsen Bahrami et al.
Many studies propose methods for finding the best location for new stores and facilities, but few studies address the store closing problem. As a result of the recent COVID-19 pandemic, many companies have been facing financial issues. In t...
Binary Simulated Normal Distribution Optimizer for feature selection: Theory and application in COVID-19 datasets [0.03%]
基于二进制模拟正态分布优化器的特征选择方法：理论及在新冠肺炎数据集上的应用研究
Shameem Ahmed,Khalid Hassan Sheikh,Seyedali Mirjalili et al.
Shameem Ahmed et al.
Classification accuracy achieved by a machine learning technique depends on the feature set used in the learning process. However, it is often found that all the features extracted by some means for a particular task do not contribute to th...
Leveraging AI for advanced analytics to forecast altered tourism industry parameters: A COVID-19 motivated study [0.03%]
利用人工智能进行高级分析以预测受COVID-19影响的旅游业参数变动的研究
Ankur Kumar,Subhas Chandra Misra,Felix T S Chan
Ankur Kumar
COVID-19 pandemic has given a sudden shock to economy indices worldwide and especially to the tourism sector, which is already very sensitive to such crises as natural calamities, terrorist activities, virus outbreaks and unwanted condition...
Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions [0.03%]
用于预测新冠疫情限制下的供应链风险的先进深度学习方法
Mahmoud M Bassiouni,Ripon K Chakrabortty,Omar K Hussain et al.
Mahmoud M Bassiouni et al.
The ongoing COVID-19 pandemic has created an unprecedented predicament for global supply chains (SCs). Shipments of essential and life-saving products, ranging from pharmaceuticals, agriculture, and healthcare, to manufacturing, have been s...
A privacy-preserving blockchain-based tracing model for virus-infected people in cloud [0.03%]
基于区块链的云隐私保护新冠病毒感染接触者追踪模型
Chengyi Qin,Lei Wu,Weizhi Meng et al.
Chengyi Qin et al.
The outbreak of COVID-19 has exposed the privacy of positive patients to the public, which will lead to violations of users' rights and even threaten their lives. A privacy-preserving scheme involving virus-infected positive patients is pro...
Forecast daily tourist volumes during the epidemic period using COVID-19 data, search engine data and weather data [0.03%]
基于疫情、搜索引擎和天气数据预测疫情期间的日游客量
Chuan Zhang,Yu-Xin Tian
Chuan Zhang
The COVID-19 epidemic has brought a devastating blow to the tourism industry. Affected by the epidemic situation, the change of tourism volume of scenic spots is very unstable. Therefore, forecasting tourist volume in the context of COVID-1...
Predicting student performance using sequence classification with time-based windows [0.03%]
基于时间窗口的序列分类在学生表现预测中的应用研究
Galina Deeva,Johannes De Smedt,Cecilia Saint-Pierre et al.
Galina Deeva et al.
A growing number of universities worldwide use various forms of online and blended learning as part of their academic curricula. Furthermore, the recent changes caused by the COVID-19 pandemic have led to a drastic increase in importance an...
A network Data Envelopment Analysis to estimate nations' efficiency in the fight against SARS-CoV-2 [0.03%]
一种用于估计各国在抗击SARS-CoV-2效率的网络数据包络分析方法
Miguel Alves Pereira,Duarte Caldeira Dinis,Diogo Cunha Ferreira et al.
Miguel Alves Pereira et al.
The ongoing outbreak of SARS-CoV-2 has been deeply impacting health systems worldwide. In this context, it is pivotal to measure the efficiency of different nations' response to the pandemic, whose insights can be used by governments and he...
Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction [0.03%]
融合饮食、共病及地缘经济数据的可解释COVID-19死亡率预测方法
Milena Trajanoska,Risto Trajanov,Tome Eftimov
Milena Trajanoska
Many factors significantly influence the outcomes of infectious diseases such as COVID-19. A significant focus needs to be put on dietary habits as environmental factors since it has been deemed that imbalanced diets contribute to chronic d...