AI-based wavelet and stacked deep learning architecture for detecting coronavirus (COVID-19) from chest X-ray images [0.03%]
基于人工智能的小波和深度学习架构从胸部X光图像中检测冠状病毒(COVID-19)
Rajkumar Soundrapandiyan,Himanshu Naidu,Marimuthu Karuppiah et al.
Rajkumar Soundrapandiyan et al.
A novel coronavirus (COVID-19), belonging to a family of severe acute respiratory syndrome coronavirus 2 (SARs-CoV-2), was identified in Wuhan city, Hubei, China, in November 2019. The disease had already infected more than 681.529665 milli...
Salman Ahmad Siddiqui,Anwar Ahmad,Neda Fatima
Salman Ahmad Siddiqui
COVID-19 disrupted lives and livelihoods and affected various sectors of the economy. One such domain was the already overburdened healthcare sector, which faced fresh challenges as the number of patients rose exponentially and became diffi...
Xiaoyong Chen,Boxiong Yang,Shuai Zhao et al.
Xiaoyong Chen et al.
Global aging population, especially with the global pandemic outbreak of the Corona Virus Disease 2019 (COVID-19), has endangered human health security. Digital information technology through big data empowerment and intelligent application...
Detecting and analyzing topics of massive COVID-19 related tweets for various countries [0.03%]
针对不同国家的大量COVID-19相关推文的主题检测与分析
Faezeh Azizi,Hamideh Hajiabadi,Hamed Vahdat-Nejad et al.
Faezeh Azizi et al.
With the flare-up of the COVID-19 infection since 2020, COVID-19 has been one of the hottest topics on Twitter. Topic modeling is one of the most popular analyses, which extracts the topics from the text. This paper proposes a method to ext...
Application of Deep Learning on Student Engagement in e-learning environments [0.03%]
深度学习在电子学习环境中对学生参与度的应用
Prakhar Bhardwaj,P K Gupta,Harsh Panwar et al.
Prakhar Bhardwaj et al.
The drastic impact of COVID-19 pandemic is visible in all aspects of our lives including education. With a distinctive rise in e-learning, teaching methods are being undertaken remotely on digital platforms due to COVID-19. To reduce the ef...
Adopting effective hierarchal IoMTs computing with K-efficient clustering to control and forecast COVID-19 cases [0.03%]
采用有效的分层IoMT计算和K高效聚类来控制和预测COVID-19病例
Hamza Mohammed Ridha Al-Khafaji,Refed Adnan Jaleel
Hamza Mohammed Ridha Al-Khafaji
The Internet of Medical Things (IoMTs) based on fog/cloud computing has been effectively proven to improve the controlling, monitoring, and care quality of Coronavirus disease 2019 (COVID-19) patients. One of the convenient approaches to as...
Enhanced framework for COVID-19 prediction with computed tomography scan images using dense convolutional neural network and novel loss function [0.03%]
使用密集卷积神经网络和新型损失函数的COVID-19预测增强框架及CT图像分析
Anand Motwani,Piyush Kumar Shukla,Mahesh Pawar et al.
Anand Motwani et al.
Recent studies have shown that computed tomography (CT) scan images can characterize COVID-19 disease in patients. Several deep learning (DL) methods have been proposed for diagnosis in the literature, including convolutional neural network...
COVID-19 identification in chest X-ray images using intelligent multi-level classification scenario [0.03%]
基于智能多级分类场景的胸部X光图像中 COVID-19 的识别
R G Babukarthik,Dhasarathan Chandramohan,Diwakar Tripathi et al.
R G Babukarthik et al.
COVID-19 is an evolving respiratory transmittable disease, and it holds all daily activity worldwide as a global pandemic. It appeared in the city of Wuhan (China) in November 2019 and slowly started spreading to the rest of the world. The ...
Ensemble multimodal deep learning for early diagnosis and accurate classification of COVID-19 [0.03%]
用于早期诊断和准确分类冠状病毒病的集成多模态深度学习方法
Santosh Kumar,Sachin Kumar Gupta,Vinit Kumar et al.
Santosh Kumar et al.
Over the past few years, the awful COVID-19 pandemic effect has become a lethal sickness. The processing of the gathered samples requires extra time due to the use of medical diagnostic equipment, methodologies, and clinical testing procedu...
Chest X ray and cough sample based deep learning framework for accurate diagnosis of COVID-19 [0.03%]
基于胸部X光和咳嗽样本的COVID-19准确诊断深度学习框架
Santosh Kumar,Rishab Nagar,Saumya Bhatnagar et al.
Santosh Kumar et al.
All witnessed the terrible effects of the COVID-19 pandemic on the health and work lives of the population across the world. It is hard to diagnose all infected people in real time since the conventional medical diagnosis of COVID-19 patien...