Forecasting the spread of SARS-CoV-2 in the campania region using genetic programming [0.03%]
利用遗传编程预测Campania地区SARS-CoV-2的传播情况
Gianni D&#x;Angelo,Salvatore Rampone
Gianni D&#x;Angelo
Coronavirus disease 19 (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus, which is responsible for the ongoing global pandemic. Stringent measures have been adopted to face the pandemic, such as complete lockdown, shutting ...
Multi-objective economic emission dispatch of thermal power-electric vehicles considering user's revenue [0.03%]
考虑用户收益的热电力-电动汽车多目标经排放调度问题
Baihao Qiao,Jing Liu,Jiajia Huan
Baihao Qiao
In recent years, the rapid development of electric vehicles has increased the load power system and brought new challenges to the safe and stable operation of the gird. Although the vehicle-to-grid technology can reduce the load that electr...
Adapting recurrent neural networks for classifying public discourse on COVID-19 symptoms in Twitter content [0.03%]
适配循环神经网络以对Twitter内容中的COVID-19症状公共舆论进行分类
Samina Amin,Abdullah Alharbi,M Irfan Uddin et al.
Samina Amin et al.
The COVID-19 infection, which began in December 2019, has claimed many lives and impacted all aspects of human life. With time, COVID-19 was identified as a pandemic outbreak by the World Health Organization (WHO), putting massive pressure ...
Gang Wang,Hua Mao
Gang Wang
Rough set theory is an extension of set theory with two additional unary set-theoretic operators known as approximation in order to extract information and knowledge. It needs the basic, or say definable, knowledge to approximate the undefi...
The unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applications [0.03%]
单位广义半正态分位数回归模型：公式、估计、诊断及数值应用
Josmar Mazucheli,Mustafa Ç Korkmaz,André F B Menezes et al.
Josmar Mazucheli et al.
In this paper, we propose and derive a new regression model for response variables defined on the open unit interval. By reparameterizing the unit generalized half-normal distribution, we get the interpretation of its location parameter as ...
Hao Li,Kun Zhang
Hao Li
In the field of graph theory, the shortest path problem is one of the most significant problems. However, since varieties of indeterminated factors appear in complex networks, determining of the shortest path from one vertex to another in c...
VRP in urban areas to optimize costs while mitigating environmental impact [0.03%]
考虑环境影响的城市地区车辆路线规划问题的成本优化研究
Carmine Cerrone,Anna Sciomachen
Carmine Cerrone
Nowadays, the need to think about sustainable mobility, both goods and people, is widely recognized. For this reason, many recent papers have moved in this direction. In this context, particular attention is now devoted to urban mobility, m...
Shufen Niu,Fei Yu,Mi Song et al.
Shufen Niu et al.
Searchable encryption allows data users to search for encrypted files by keywords without restriction. However, electronic health record (EHR) contains sensitive information, and data users should search for and share EHR with restriction. ...
O K Sikha,Bandla Bharath
O K Sikha
With the recent COVID-19 pandemic, wearing masks has become a necessity in our daily lives. People are encouraged to wear masks to protect themselves from the outside world and thus from infection with COVID-19. The presence of masks raised...
A CEEMD-ARIMA-SVM model with structural breaks to forecast the crude oil prices linked with extreme events [0.03%]
基于结构断点的CEEMD-ARIMA-SVM模型及极端事件下的原油价格预测
Yuxiang Cheng,Jiayu Yi,Xiaoguang Yang et al.
Yuxiang Cheng et al.
This paper develops an integrated framework to forecast the volatility of crude oil prices by considering the impacts of extreme events (structural breaks). The impacts of extreme events are vital to improving prediction accuracy. Aiming to...