Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning [0.03%]
基于肺血管提取和深度学习的CT图像COVID-19感染分割与定量研究
João O B Diniz,Darlan B P Quintanilha,Antonino C Santos Neto et al.
João O B Diniz et al.
At the end of 2019, the World Health Organization (WHO) reported pneumonia that started in Wuhan, China, as a global emergency problem. Researchers quickly advanced in research to try to understand this COVID-19 and sough solutions for the ...
Understanding consumer behavior in the multimedia context: incorporating gamification in VR-enhanced web system for tourism e-commerce [0.03%]
多媒体环境下的消费者行为研究：在旅游电子商务中应用VR与游戏化的结合体系
Yu-Teng Jang,Pei-Shan Hsieh
Yu-Teng Jang
This study aims to investigate how gamification and virtual reality (VR)-enhanced web services can be integrated to influence consumer behavior in the context of tourism e-commerce. A gamified VR-enhanced tourism web system (VRTWS) was desi...
Convolutional neural networks for the classification of chest X-rays in the IoT era [0.03%]
物联网时代卷积神经网络在胸部X光片分类中的应用
Khaled Almezhghwi,Sertan Serte,Fadi Al-Turjman
Khaled Almezhghwi
Chest X-ray medical imaging technology allows the diagnosis of many lung diseases. It is known that this technology is frequently used in hospitals, and it is the most accurate way of detecting most thorax diseases. Radiologists examine the...
A study on the sentiments and psychology of twitter users during COVID-19 lockdown period [0.03%]
新冠肺炎疫情期间Twitter用户的情绪与心理研究
Ishaani Priyadarshini,Pinaki Mohanty,Raghvendra Kumar et al.
Ishaani Priyadarshini et al.
The outbreak of the novel Coronavirus in late 2019 brought severe devastation to the world. The pandemic spread across the globe, infecting more than ten million people and disrupting several businesses. Although social distancing and the u...
A novel self-learning semi-supervised deep learning network to detect fake news on social media [0.03%]
一种检测社交媒体虚假新闻的新型自学习半监督深度学习网络
Xin Li,Peixin Lu,Lianting Hu et al.
Xin Li et al.
Social media has become a popular means for people to consume and share news. However, it also enables the extensive spread of fake news, that is, news that deliberately provides false information, which has a significant negative impact on...
Classification of users' transportation modalities from mobiles in real operating conditions [0.03%]
基于手机的用户真实交通出行方式分类
Claudio Badii,Angelo Difino,Paolo Nesi et al.
Claudio Badii et al.
The modern mobile phones and the complete digitalization of the public and private transport networks have allowed to access useful information to understand the user's mean of transportation. This enables a plethora of old and new applicat...
Location-proximity-based clustering method for peer-to-peer multimedia streaming services with multiple sources [0.03%]
基于位置接近性的点播多媒体流式传输的聚类方法研究多资源供给条件下P2P.streaming.687-694
Changkyu Lee,Shin-Gak Kang,Anand Nayyar
Changkyu Lee
Social distancing to reduce the spread of coronavirus disease 2019 (COVID-19) made a huge increase in the global OTT market, and OTT service providers get millions of new subscribers. Recently OTT service providers are extending their servi...
A machine learning based sentient multimedia framework to increase safety at work [0.03%]
一种基于机器学习的多媒体感知框架以提高工作场所安全性
Gianluca Bonifazi,Enrico Corradini,Domenico Ursino et al.
Gianluca Bonifazi et al.
In the last few decades, we have witnessed an increasing focus on safety in the workplace. ICT has always played a leading role in this context. One ICT sector that is increasingly important in ensuring safety at work is the Internet of Thi...
Automatic prediction of COVID- 19 from chest images using modified ResNet50 [0.03%]
基于改进ResNet50的COVID-19胸部影像自动预测模型
Marwa Elpeltagy,Hany Sallam
Marwa Elpeltagy
Recently coronavirus 2019 (COVID-2019), discovered in Wuhan city of China in December 2019 announced as world pandemic by the World Health Organization (WHO). It has catastrophic impacts on daily lives, public health, and the global economy...
A lossless DWT-SVD domain watermarking for medical information security [0.03%]
一种医学信息安全管理的DWT-SVD域无损水印算法
Narima Zermi,Amine Khaldi,Med Redouane Kafi et al.
Narima Zermi et al.
The goal of this work is to protect as much as possible the images exchanged in telemedicine, to avoid any confusion between the patient's radiographs, these images are watermarked with the patient's information as well as the acquisition d...