Analytical study on users' awareness and acceptability towards adoption of multimodal biometrics (MMB) mechanism in online transactions: a two-stage SEM-ANN approach [0.03%]
基于两阶段SEM-ANN方法的用户意识与接受能力研究：多模式生物识别技术在在线交易中的应用分析研究
Himanshu Purohit,Manish Dadhich,Pawan K Ajmera
Himanshu Purohit
The study analyses user awareness of multimodal biometrics and its acceptability for online transactions in the current dynamic world. The study was performed on the five underlying perspectives: User Acceptability, Cognizant Factors toward...
CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays [0.03%]
基于胸部X光的CDC_Net：用于检测COVID-19，气胸，肺炎，肺癌和结核病的多分类卷积神经网络模型
Hassaan Malik,Tayyaba Anees,Muizzud Din et al.
Hassaan Malik et al.
Coronavirus (COVID-19) has adversely harmed the healthcare system and economy throughout the world. COVID-19 has similar symptoms as other chest disorders such as lung cancer (LC), pneumothorax, tuberculosis (TB), and pneumonia, which might...
Multi-modal fusion of deep transfer learning based COVID-19 diagnosis and classification using chest x-ray images [0.03%]
基于深度迁移学习的新冠肺炎多模态融合诊断及分类方法研究:X光图像分析视角
A Siva Krishna Reddy,K N Brahmaji Rao,Narasimha Reddy Soora et al.
A Siva Krishna Reddy et al.
COVID-19 pandemic has a significant impact on the global health and daily lives of people living over the globe. Several initial tests are based on the detecting of the genetic material of the coronavirus, and they have a minimum detection ...
Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics [0.03%]
十五年来的YouTube学术研究：知识结构、协作网络和热点话题
Mohamed M Mostafa,Ali Feizollah,Nor Badrul Anuar
Mohamed M Mostafa
Since its inception, YouTube has been a source of entertainment and education. Everyday millions of videos are uploaded to this platform. Researchers have been using YouTube as a source of information in their research. However, there is a ...
A multi-class classification framework for disease screening and disease diagnosis of COVID-19 from chest X-ray images [0.03%]
一种用于从胸部X光图像中筛查和诊断COVID-19疾病的多分类框架
Ebenezer Jangam,Chandra Sekhara Rao Annavarapu,Aaron Antonio Dias Barreto
Ebenezer Jangam
To accurately diagnose multiple lung diseases from chest X-rays, the critical aspect is to identify lung diseases with high sensitivity and specificity. This study proposed a novel multi-class classification framework that minimises either ...
Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays [0.03%]
基于S形曲线的超参数改进型DNN在CT和胸部X光片上的新型冠状病毒肺炎分类方法
B Anilkumar,K Srividya,A Mary Sowjanya
B Anilkumar
Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Diagnosis of Computed Tomography (CT), and Chest X-rays (CXR) contains the problem of overfitting, earlier diagnosis, and mode collapse. In this work, w...
Oliverio J Santana,David Freire-Obregón,Daniel Hernández-Sosa et al.
Oliverio J Santana et al.
The scientific community and mass media have already reported the use of nonverbal behavior analysis in sports for athletes' performance. Their conclusions stated that certain emotional expressions are linked to athlete's performance, or ev...
The smart body concept as a demonstration of the overarching utility and benefits of 3D avatars in retail, health and wellbeing: an accuracy study of body measures from 3D reconstruction [0.03%]
基于零售、健康和保健的智能身体概念：3D头像的通用性及益处的准确性研究——来自3D重建的身体测量数据
Veronica Cimolin,Ioannis Th Paraskevopoulos,Maurizio Sala et al.
Veronica Cimolin et al.
Recent developments in 3D graphic technologies enable the affordable and precise reconstruction of body scanned models that can be applied in a variety of verticals, such as fashion, fitness and wellness, and healthcare. The accuracy of bod...
Using immersive technologies to facilitate location scouting in audiovisual media production: a user requirements study and proposed framework [0.03%]
基于沉浸式技术的视听媒体制作勘景辅助的用户需求研究与框架构建
Aimone Bodini,Federico Colecchia,Arthi Manohar et al.
Aimone Bodini et al.
In common with many industries, the audiovisual sector is likely to be transformed by real-time graphic engines in combination with immersive technologies such as Virtual Reality and Augmented Reality. This technological mix enables what is...
Facial emotion recognition based real-time learner engagement detection system in online learning context using deep learning models [0.03%]
基于深度学习模型的在线学习环境中实时学员参与度检测系统（面部情绪识别）
Swadha Gupta,Parteek Kumar,Raj Kumar Tekchandani
Swadha Gupta
The dramatic impact of the COVID-19 pandemic has resulted in the closure of physical classrooms and teaching methods being shifted to the online medium.To make the online learning environment more interactive, just like traditional offline ...