ANN-Based traffic volume prediction models in response to COVID-19 imposed measures [0.03%]
基于ANN的交通量预测模型以应对COVID-19措施的影响
Mohammad Shareef Ghanim,Deepti Muley,Mohamed Kharbeche
Mohammad Shareef Ghanim
Many countries around the globe have imposed several response measures to suppress the rapid spread of the COVID-19 pandemic since the beginning of 2020. These measures have impacted routine daily activities, along with their impact on econ...
Geographies of infections: built environment and COVID-19 pandemic in metropolitan Melbourne [0.03%]
新冠疫情下的墨尔本都会区的感染地理：建成环境与新冠肺炎疫情关系研究
Eric Gaisie,Nana Yaw Oppong-Yeboah,Patrick Brandful Cobbinah
Eric Gaisie
This paper uses spatial statistical techniques to reflect on geographies of COVID-19 infections in metropolitan Melbourne. We argue that the evolution of the COVID-19 pandemic, which has become widespread since early 2020 in Melbourne, typi...
How residential energy consumption has changed due to COVID-19 pandemic? An agent-based model [0.03%]
COVID-19大流行下居民能源消费变化的代理模型研究
Mohamad Ali Khalil,Mahmudur Rahman Fatmi
Mohamad Ali Khalil
Integrating occupant behavior with residential energy use for detailed energy quantification has attracted research attention. However, many of the available models fail to capture unseen behavior, especially in unprecedented situations suc...
A real-time web tool for monitoring and mitigating indoor airborne COVID-19 transmission risks at city scale [0.03%]
一个用于监测和缓解城市范围内室内空气传播的COVID-19风险的实时网络工具
Maher Albettar,Liangzhu Leon Wang,Ali Katal
Maher Albettar
Airborne transmission of aerosols contributes to a large portion of the SARS-CoV-2 spread indoors. This study develops a real-time interactive web-based platform for the public to compare various strategies to curb indoor airborne transmiss...
Study on the mechanism of public attention to a major event: The outbreak of COVID-19 in China [0.03%]
重大事件下的公众注意力演变研究——以新冠肺炎疫情在中国的爆发为例
Lu Liu,Yifei Fu
Lu Liu
This study focuses on public attention to major events, which has become an important topic in the context of the COVID-19 pandemic. In the background of the global transmission of COVID-19, this study discusses the relationship between inf...
Data-driven multiscale modelling and analysis of COVID-19 spatiotemporal evolution using explainable AI [0.03%]
基于解释性人工智能的COVID-19时空演变数据驱动多尺度建模与分析
Alvin Wei Ze Chew,Limao Zhang
Alvin Wei Ze Chew
To quantificationally identify the optimal control measures for regulators to best minimize COVID-19's growth (G-rate) and death (D-rate) rates in today's context, this paper develops a top-down multiscale engineering approach which encompa...
Assessing the impact of mobility on the incidence of COVID-19 in Dublin City [0.03%]
评估人员流动对都柏林市COVID-19发病率的影响
Christopher K Manzira,Anna Charly,Brian Caulfield
Christopher K Manzira
COVID-19 has had a major impact on the transport systems around the world. Several transport-related policies were implemented in short period of time to contain the spread of the pandemic. These policies had a major influence on travel beh...
On male urination and related environmental disease transmission in restrooms: From the perspectives of fluid dynamics [0.03%]
从流体动力学视角谈公厕小便与环境传播疾病的问题
Xiang Cao,Guanqiu Hao,Yun-Yun Li et al.
Xiang Cao et al.
Indoor transmission of COVID-19 is highly probable. Multiple sources have verified that the SARS-CoV-2 can be detected within toilets, and people can be infected in restrooms. There is a huge gap in the coronavirus transmission mechanism in...
An efficient hardware architecture based on an ensemble of deep learning models for COVID -19 prediction [0.03%]
一种基于深度学习模型集合的高效硬件架构用于COVID-19预测
Sakthivel R,I Sumaiya Thaseen,Vanitha M et al.
Sakthivel R et al.
Deep learning models demonstrate superior performance in image classification problems. COVID-19 image classification is developed using single deep learning models. In this paper, an efficient hardware architecture based on an ensemble dee...
Investigation of airborne particle exposure in an office with mixing and displacement ventilation [0.03%]
混合和置换通风办公环境中的颗粒物调查研究
Sumei Liu,Mike Koupriyanov,Dale Paskaruk et al.
Sumei Liu et al.
Effective ventilation could reduce COVID-19 infection in buildings. By using a computational fluid dynamics technique and advanced experimental measurement methods, this investigation studied the air velocity, air temperature, and particle ...