Mathematical analysis of COVID-19 pandemic by using the concept of SIR model [0.03%]
基于SIR模型概念的COVID-19大流行数学分析
Harish Garg,Abdul Nasir,Naeem Jan et al.
Harish Garg et al.
The health organizations around the world are currently facing one of the greatest challenges, to overcome the current global pandemic, COVID-19. It erupted in December 2019, in Wuhan City, China. It spreads rapidly throughout the world wit...
Prediction framework for upper body sedentary working behaviour by using deep learning and machine learning techniques [0.03%]
基于深度学习和机器学习技术的久坐行为预测框架研究
Rama Krishna Reddy Guduru,Aurelijus Domeika,Milda Dubosiene et al.
Rama Krishna Reddy Guduru et al.
Public health experts and healthcare professionals are gradually identifying sedentary activity as a population-wide, pervasive health risk. The purpose of this paper is to propose a method to identify the changes in posture during sedentar...
Minakhi Das,Debadutta Mohanty,Kedar Chandra Parida
Minakhi Das
Rough set is a very powerful invention to the whole world for dealing with uncertain, incomplete and imprecise problems. Also soft set theory and neutrosophic set theory are advance mathematical tools to handle these uncertain, incomplete, ...
Deep neural networks for COVID-19 detection and diagnosis using images and acoustic-based techniques: a recent review [0.03%]
基于图像和声学技术的新冠肺炎检测与诊断深度神经网络近期研究综述
Walid Hariri,Ali Narin
Walid Hariri
The new coronavirus disease (COVID-19) has been declared a pandemic since March 2020 by the World Health Organization. It consists of an emerging viral infection with respiratory tropism that could develop atypical pneumonia. Experts emphas...
Prediction of the COVID-19 infectivity and the sustainable impact on public health under deep learning algorithm [0.03%]
基于深度学习算法的新型冠状病毒肺炎传染性预测及其对公共卫生的持续影响分析
Weiwei Wang,Jinghui Cai,Jiali Xu et al.
Weiwei Wang et al.
The aim is to explore the development trend of COVID-19 (Corona Virus Disease 2019) and predict the infectivity of 2019-nCoV (2019 Novel Coronavirus), as well as its impact on public health. First, the existing data are analyzed through dat...
A novel picture fuzzy linguistic Muirhead Mean aggregation operators and their application to multiple attribute decision making [0.03%]
一种新的图片模糊语言Muirhead平均聚合算子及其在多属性决策中的应用
Sidong Xian,Yue Cheng,Zhou Liu
Sidong Xian
The Picture fuzzy linguistic set (PFLS) is an extension of the intuitionistic fuzzy set (IFS) and linguistic variables (LVs), which has been applied successfully in the process of decision making. Considering the lack of closeness of extant...
Hybrid intelligent model for classifying chest X-ray images of COVID-19 patients using genetic algorithm and neutrosophic logic [0.03%]
基于遗传算法和模糊逻辑的COVID-19患者胸部X光片分类混合智能模型
Sameh H Basha,Ahmed M Anter,Aboul Ella Hassanien et al.
Sameh H Basha et al.
The highly spreading virus, COVID-19, created a huge need for an accurate and speedy diagnosis method. The famous RT-PCR test is costly and not available for many suspected cases. This article proposes a neurotrophic model to diagnose COVID...
Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN [0.03%]
基于感兴趣区域的预测算法使用Faster R-CNN检测视网膜下出血
M Suchetha,N Sai Ganesh,Rajiv Raman et al.
M Suchetha et al.
Macular edema (ME) is an essential sort of macular issue caused due to the storing of fluid underneath the macula. Age-related Macular Degeneration (AMD) and diabetic macular edema (DME) are the two customary visual contaminations that can ...
Evidence of the correlation between a city's air pollution and human health through soft computing [0.03%]
基于软计算的空气污染与人体健康关系证据链研究
Salvatore Rampone,Alessio Valente
Salvatore Rampone
Huge quantities of pollutants are released into the atmosphere of many cities every day. These emissions, due to physicochemical conditions, can interact with each other, resulting in additional pollutants such as ozone. The resulting accum...
Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM [0.03%]
基于优化LSTM的COVID-19短期预测的增强蝙蝠算法
Hafiz Tayyab Rauf,Jiechao Gao,Ahmad Almadhor et al.
Hafiz Tayyab Rauf et al.
The highly infectious COVID-19 critically affected the world that has stuck millions of citizens in their homes to avoid possible spreading of the disease. Researchers in different fields are continually working to develop vaccines and prev...