A secure energy-efficient routing protocol for disease data transmission using IoMT [0.03%]
一种用于使用IoMT传输疾病数据的安全节能路由协议
Samayveer Singh,Aridaman Singh Nandan,Geeta Sikka et al.
Samayveer Singh et al.
The outlook of the World toward health infrastructure has drastically changed due to COVID-19 which created the need for the development of emerging technologies where interactions between the patients and the health workers can be minimize...
Autonomous service for managing real time notification in detection of COVID-19 virus [0.03%]
自主服务管理实时通知以检测COVID-19病毒
Yousef Methkal Abd Algani,K Boopalan,G Elangovan et al.
Yousef Methkal Abd Algani et al.
In today's world, the most prominent public issue in the field of medicine is the rapid spread of viral sickness. The seriousness of the disease lies in its fast spreading nature. The main aim of the study is the proposal of a framework for...
Machine Learning Approach for Autonomous Detection and Classification of COVID-19 Virus [0.03%]
用于自主检测和分类新型冠状病毒的机器学习方法
Osama R Shahin,Hamoud H Alshammari,Ahmed I Taloba et al.
Osama R Shahin et al.
As people all over the world are vulnerable to be affected by the COVID-19 virus, the automatic detection of such a virus is an important concern. The paper aims to detect and classify corona virus using machine learning. To spot and identi...
Pradeep Kumar Roy,Abhinav Kumar
Pradeep Kumar Roy
In the wake of the COVID-19 outbreak, automated disease detection has become a crucial part of medical science given the infectious nature of the coronavirus. This research aims to introduce a deep ensemble framework of transfer learning mo...
Post-symptomatic detection of COVID-2019 grade based mediative fuzzy projection [0.03%]
基于中介模糊投影的COVID-2019无症状检测分级
Mukesh Kumar Sharma,Nitesh Dhiman,Vishnu Narayan Mishra et al.
Mukesh Kumar Sharma et al.
The concept of fuzzy set, intuitionistic set, and mediative fuzzy set as a generalization of a crisp set have been introduced in many real-life applications. The concept of crisp relation between elements of sets can be extended to fuzzy re...
A visual review of artificial intelligence and Industry 4.0 in healthcare [0.03%]
医疗保健中的人工智能和工业4.0视觉回顾
Sandeep Kumar Sood,Keshav Singh Rawat,Dheeraj Kumar
Sandeep Kumar Sood
The COVID-19 outbreak has led to a substantial loss of human life throughout the world and has a tremendous impact on healthcare services. Industry 4.0 technologies have established effective supply chain management towards the fulfillment ...
Celestine Iwendi,Senthilkumar Mohan,Suleman Khan et al.
Celestine Iwendi et al.
'Fake news' refers to the misinformation presented about issues or events, such as COVID-19. Meanwhile, social media giants claimed to take COVID-19 related misinformation seriously, however, they have been ineffectual. This research uses I...
Real-time data of COVID-19 detection with IoT sensor tracking using artificial neural network [0.03%]
基于人工神经网络的物联网传感器跟踪COVID-19检测实时数据
Roaa Mohammedqasem,Hayder Mohammedqasim,Oguz Ata
Roaa Mohammedqasem
The coronavirus pandemic has affected people all over the world and posed a great challenge to international health systems. To aid early detection of coronavirus disease-2019 (COVID-19), this study proposes a real-time detection system bas...
Use of supervised machine learning to detect abuse of COVID-19 related domain names [0.03%]
利用监督机器学习检测与新冠肺炎相关的域名滥用行为
Zheng Wang
Zheng Wang
A comprehensive evaluation of supervised machine learning models for COVID-19 related domain name detection is presented. One representative conventional machine learning implementation and nineteen state-of-the-art deep learning implementa...
An intelligent framework to predict socioeconomic impacts of COVID-19 and public sentiments [0.03%]
预测COVID-19的经济社会影响和公众情绪的智能框架
Adeena Nasir,Munam Ali Shah,Ummarah Ashraf et al.
Adeena Nasir et al.
The outbreak of novel coronavirus (COVID-19) has extremely shaken the whole world. COVID-19 has increased human distress, damaged the global economy, flipped the lives of many people around the world upside down, and has had a huge effect o...