A Lightweight and Robust Secure Key Establishment Protocol for Internet of Medical Things in COVID-19 Patients Care [0.03%]
面向新冠肺炎患者护理的医疗物联网轻量级安全密钥建立协议
Mehedi Masud,Gurjot Singh Gaba,Salman Alqahtani et al.
Mehedi Masud et al.
Due to the outbreak of COVID-19, the Internet of Medical Things (IoMT) has enabled the doctors to remotely diagnose the patients, control the medical equipment, and monitor the quarantined patients through their digital devices. Security is...
Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access [0.03%]
基于XR和深度学习的 clinic 数据访问的可靠且智能的COVID-19诊断IoMT
Yonghang Tai,Bixuan Gao,Qiong Li et al.
Yonghang Tai et al.
This article presents a novel extended reality (XR) and deep-learning-based Internet-of-Medical-Things (IoMT) solution for the COVID-19 telemedicine diagnostic, which systematically combines virtual reality/augmented reality (AR) remote sur...
An IoT-Based Deep Learning Framework for Early Assessment of Covid-19 [0.03%]
基于物联网的深度学习框架在COVID-19早期评估中的应用研究
Imran Ahmed,Awais Ahmad,Gwanggil Jeon
Imran Ahmed
Advancement in the Internet of Medical Things (IoMT), along with machine learning, deep learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare. It has an extensive range of applications: when conn...
Weishan Zhang,Tao Zhou,Qinghua Lu et al.
Weishan Zhang et al.
Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine learning is an efficient and accurate way to detect COVID-19 infections. However, the sharing of diagnostic images across medical institutions is usually prohibited du...
Tong Li,Mingyang Zhang,Yong Li et al.
Tong Li et al.
The outbreak of Covid-19 changed the world as well as human behavior. In this article, we study the impact of Covid-19 on smartphone usage. We gather smartphone usage records from a global data collection platform called Carat, including th...
LSTM-Based Emotion Detection Using Physiological Signals: IoT Framework for Healthcare and Distance Learning in COVID-19 [0.03%]
基于LSTM的情感检测：用于COVID-19期间医疗和远程教学的生理信号IoT框架
Muhammad Awais,Mohsin Raza,Nishant Singh et al.
Muhammad Awais et al.
Human emotions are strongly coupled with physical and mental health of any individual. While emotions exbibit complex physiological and biological phenomenon, yet studies reveal that physiological signals can be used as an indirect measure ...
Internet of Things Framework for Oxygen Saturation Monitoring in COVID-19 Environment [0.03%]
基于物联网的新冠肺炎环境下血氧饱和度监测框架
Rahul Saha,Gulshan Kumar,Neeraj Kumar et al.
Rahul Saha et al.
The pandemic/epidemic of COVID-19 has affected people worldwide. A huge number of lives succumbed to death due to the sudden outbreak of this corona virus infection. The specified symptoms of COVID-19 detection are very common like normal f...
Efficient Security and Authentication for Edge-Based Internet of Medical Things [0.03%]
高效的基于边缘的医疗物联网安全与认证机制
Shabir A Parah,Javaid A Kaw,Paolo Bellavista et al.
Shabir A Parah et al.
Internet of Medical Things (IoMT)-driven smart health and emotional care is revolutionizing the healthcare industry by embracing several technologies related to multimodal physiological data collection, communication, intelligent automation...
Random-Forest-Bagging Broad Learning System With Applications for COVID-19 Pandemic [0.03%]
一种随机森林装袋广学习系统及其在COVID-19大流行中的应用
Choujun Zhan,Yufan Zheng,Haijun Zhang et al.
Choujun Zhan et al.
The rapid geographic spread of COVID-19, to which various factors may have contributed, has caused a global health crisis. Recently, the analysis and forecast of the COVID-19 pandemic have attracted worldwide attention. In this work, a larg...
ξ boost: An AI-Based Data Analytics Scheme for COVID-19 Prediction and Economy Boosting [0.03%]
基于人工智能的COVID-19预测和经济提振数据分析方案 ξ boost
Darshan Vekaria,Aparna Kumari,Sudeep Tanwar et al.
Darshan Vekaria et al.
The coronavirus (COVID-19) outbreak has a significant impact on people's lives, occupations, businesses, and economies globally. The world economic market is experiencing a big shift and the share market has observed crashes day-by-day. Eve...