Data analytics and knowledge management approach for COVID-19 prediction and control [0.03%]
用于COVID-19预测与控制的数据分析和知识管理方法研究
Iqbal Hasan,Prince Dhawan,S A M Rizvi et al.
Iqbal Hasan et al.
The Coronavirus Disease (COVID-19) caused by SARS-CoV-2, continues to be a global threat. The major global concern among scientists and researchers is to develop innovative digital solutions for prediction and control of infection and to di...
Building a reverse dictionary with specific application to the COVID-19 pandemic [0.03%]
用于COVID-19大流行的逆向词典的构建方法
Bushra Siddique,M M Sufyan Beg
Bushra Siddique
A Reverse Dictionary maps a natural language description to corresponding semantically appropriate words. It is of assistance, particularly to the language producers, in finding the correct word for a concept in mind while writing/speaking....
An IoT/FOG based framework for sports talent identification in COVID-19 like situations [0.03%]
一种基于物联网和雾计算的体育人才识别框架用于COVID-19情况下的运动员选拔
Naveed Jeelani Khan,Gulfam Ahamad,Mohd Naseem
Naveed Jeelani Khan
COVID-19 crippled all the domains of our society. The inevitable lockdowns and social distancing procedures have hit the process of traditional sports talent identification (TiD) severely. This will interrupt the career-excellency of athlet...
Prioritizing severity level of COVID-19 using correlation coefficient and intuitionistic fuzzy logic [0.03%]
基于相关系数和直觉模糊集的新冠肺炎病情严重等级优先级划分方法
Shahla Tarannum,Suraiya Jabin
Shahla Tarannum
During the peak of COVID-19 pandemic crisis in 2020 and 2021, with limited medical resources and surge in Covid cases in every hospital and clinic, identifying the most vulnerable patient requiring immediate critical treatment was a great c...
Security framework to healthcare robots for secure sharing of healthcare data from cloud [0.03%]
安全框架：云存储医疗数据的医疗机器人安全共享框架
Saurabh Jain,Rajesh Doriya
Saurabh Jain
Healthcare robots have the potential to assist medical practitioners in accurately performing tasks such as nursing, diagnosing, and performing critical surgeries. Limited processing, battery power, and storage capacity may reduce the robot...
Word2vec neural model-based technique to generate protein vectors for combating COVID-19: a machine learning approach [0.03%]
基于word2vec神经模型的生成蛋白质向量的技术用于对抗COVID-19：一种机器学习方法
Toby A Adjuik,Daniel Ananey-Obiri
Toby A Adjuik
The world was ambushed in 2019 by the COVID-19 virus which affected the health, economy, and lifestyle of individuals worldwide. One way of combating such a public health concern is by using appropriate, rapid, and unbiased diagnostic tools...
Detecting context-based in-claim numerals in Financial Earnings Conference Calls [0.03%]
基于上下文的财务电话会议通话中财报数字的抽取研究
Sohom Ghosh,Sudip Kumar Naskar
Sohom Ghosh
Most investors tend to make decisions after analysing financial documents of organizations available online. These documents include financial reports, conversations, brochures, etc. While reading these documents investors need to ensure th...
Design and implementation of hybrid consensus mechanism for IoT based healthcare system security [0.03%]
基于物联网的医疗系统的混合共识机制的设计与实现
Punam Prabha,Kakali Chatterjee
Punam Prabha
Nowadays, blockchain is emerging as a worthwhile technology for managing sensitive data in electronic healthcare system. It plays an important role in healthcare, medical research and insurance sectors. The consensus algorithms used in bloc...
Financial time series forecasting using optimized multistage wavelet regression approach [0.03%]
一种优化的多阶段小波回归方法及其在金融时间序列预测中的应用
P Syamala Rao,G Parthasaradhi Varma,Ch Durga Prasad
P Syamala Rao
This paper presents financial time series forecasting with multistage wavelet transform (WT). First, the time series data is processed through WT with different mother wavelet functions to extract high frequency and low frequency coefficien...