Deep Neural Networks for Human's Fall-risk Prediction using Force-Plate Time Series Signal [0.03%]
基于力台时间序列信号的深度神经网络人体坠落风险预测方法
M Savadkoohi,T Oladunni,L A Thompson
M Savadkoohi
Early and accurate identification of the balance deficits could reduce falls, in particular for older adults, a prone population. Our work investigates deep neural networks' capacity to identify human balance patterns towards predicting fal...
EffViT-COVID: A dual-path network for COVID-19 percentage estimation [0.03%]
EffiViT-COVID：一种用于COVID-19比例估计的双路径网络
Joohi Chauhan,Jatin Bedi
Joohi Chauhan
The first case of novel Coronavirus (COVID-19) was reported in December 2019 in Wuhan City, China and led to an international outbreak. This virus causes serious respiratory illness and affects several other organs of the body differently f...
Equilibrium-based COVID-19 diagnosis from routine blood tests: A sparse deep convolutional model [0.03%]
基于平衡的COVID-19诊断：来自常规血液检验的稀疏深度卷积模型
Doaa A Altantawy,Sherif S Kishk
Doaa A Altantawy
SARS-CoV2 (COVID-19) is the virus that causes the pandemic that has severely impacted human society with a massive death toll worldwide. Hence, there is a persistent need for fast and reliable automatic tools to help health teams in making ...
COVID-19 medical waste transportation risk evaluation integrating type-2 fuzzy total interpretive structural modeling and Bayesian network [0.03%]
基于类型-2模糊总解释结构模型和贝叶斯网络的新冠肺炎医疗废物运输风险评价
Jing Tang,Xinwang Liu,Weizhong Wang
Jing Tang
With the amount of medical waste rapidly increasing since the corona virus disease 2019 (COVID-19) pandemic, medical waste treatment risk evaluation has become an important task. The transportation of medical waste is an essential process o...
Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation [0.03%]
基于引文关系BERT的异构深度图卷积网络在新冠文献推荐中的应用研究
Tao Dai,Jie Zhao,Dehong Li et al.
Tao Dai et al.
The outbreak of COVID-19 brings almost the biggest explosions of scientific literature ever. Facing such volume literature, it is hard for researches to find desired citation when carrying out COVID-19 related research, especially for junio...
An integrated rough-fuzzy WINGS-ISM method with an application in ASSCM [0.03%]
一种集成的粗糙集-模糊WINGS-ISM方法及其在ASSCM中的应用
Muwen Wang,Yiwen Zhang,Yuan Tian et al.
Muwen Wang et al.
Environmental deterioration, the COVID-19 pandemic and the Russian-Ukrainian conflict had brought chronic and dramatic impacts on agricultural supply chain around the world, resulting in high inflation rates and unavoidable costs. In order ...
Mobility support for disadvantaged and disabled travelers during pandemic or similar situations [0.03%]
疫情期间弱势和残疾旅客的出行支持措施研究
Ye Liu,Yu Qian,Gurcan Comert et al.
Ye Liu et al.
The COVID-19 lockdown has reduced public transportation service to the disadvantaged and disabled people who urgently need adequate mobility to obtain essential suppliers. This paper aims to improve the life quality of people with disabilit...
Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset [0.03%]
COVID-19疫苗犹豫不决：基于推特数据集的文本挖掘、情感分析与机器学习研究
Miftahul Qorib,Timothy Oladunni,Max Denis et al.
Miftahul Qorib et al.
In 2019 there was an outbreak of coronavirus pandemic also known as COVID-19. Many scientists believe that the pandemic originated from Wuhan, China, before spreading to other parts of the globe. To reduce the spread of the disease, decisio...
An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting [0.03%]
基于多个人工神经网络和一种新型启发式优化算法的创新集成模型用于COVID-19预测
Zongxi Qu,Yutong Li,Xia Jiang et al.
Zongxi Qu et al.
During the global fight against the novel coronavirus pneumonia (COVID-19) epidemic, accurate outbreak trend forecasting has become vital for outbreak prevention and control. Effective COVID-19 outbreak trend prediction remains a complex an...
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network [0.03%]
基于卷积神经网络的胸部X光片多病种（包括新冠肺炎）影像预测比赛(ChestX-RAY6)
Md Nahiduzzaman,Md Rabiul Islam,Rakibul Hassan
Md Nahiduzzaman
In the last few decades, several epidemic diseases have been introduced. In some cases, doctors and medical physicians are facing difficulties in identifying these diseases correctly. A machine can perform some of these identification tasks...