Rishit Jain,Revant Singh Rai,Sajal Jain et al.
Rishit Jain et al.
Semantics and Sentiments are parts of our daily speech and expressions that helps to convey the message in the tone intended. The accurate interpretation of emotions and actions is prudent as it expresses the true meaning of the message. Th...
Taichi Tsuru,Mikio Hasegawa,Yozo Shoji et al.
Taichi Tsuru et al.
The evolving Internet of Things (IoT) promisingly improves the quality of life and transforms many industries. However, the IoT application challenges the wireless networks since the resource-constrained IoT devices typically need to send d...
Formation mechanism of consumers' purchase intention in multimedia live platform: a case study of taobao live [0.03%]
多媒体直播平台消费者购买意向的形成机制研究——以淘宝直播为例
Jiayu Liu,Minglin Zhang
Jiayu Liu
The rapid development of live e-commerce in China in recent years has been accompanied by a change in consumer shopping behavior and a general upgrading of consumption in China. The rise and development of e-commerce live shopping mainly st...
TC-SegNet: robust deep learning network for fully automatic two-chamber segmentation of two-dimensional echocardiography [0.03%]
TC-SegNet：一种二维超声心动图双腔全自动分割的鲁棒深度学习网络
Shyam Lal
Shyam Lal
Heart chamber quantification is an essential clinical task to analyze heart abnormalities by evaluating the heart volume estimated through the endocardial border of the chambers. A precise heart chamber segmentation algorithm using echocard...
Neural networks contribution in face mask detection to reduce the spread of COVID-19 [0.03%]
神经网络在口罩人脸识别中的作用以减少COVID-19的传播
Maminiaina Alphonse Rafidison,Andry Harivony Rakotomihamina,Sabine Harisoa Jacques Rafanantenana et al.
Maminiaina Alphonse Rafidison et al.
In front of COVID-19 propagation, we can protect our self by taking precautionary measures such as wearing face masks. It may be mandatory in particular public place although some persons ignore this rule. Several research in face mask dete...
Reducing false positive rate with the help of scene change indicator in deep learning based real-time face recognition systems [0.03%]
基于深度学习的实时人脸识别系统中利用场景切换指示符降低假阳性率
Mehmet Ali Kutlugün,Yahya Şirin
Mehmet Ali Kutlugün
In face recognition systems, light direction, reflection, and emotional and physical changes on the face are some of the main factors that make recognition difficult. Researchers continue to work on deep learning-based algorithms to overcom...
Efficient prediction of early-stage diabetes using XGBoost classifier with random forest feature selection technique [0.03%]
基于随机森林特征选择技术的XGBoost分类器在早期糖尿病预测中的应用研究
Serdar Gündoğdu
Serdar Gündoğdu
Diabetes is one of the most common and serious diseases affecting human health. Early diagnosis and treatment are vital to prevent or delay complications related to diabetes. An automated diabetes detection system assists physicians in the ...
Artificial intelligence enabled COVID-19 detection: techniques, challenges and use cases [0.03%]
人工智能赋能的新冠肺炎检测：技术、挑战及应用场景
Manisha Panjeta,Aryan Reddy,Rushabh Shah et al.
Manisha Panjeta et al.
Deep Learning and Machine Learning are becoming more and more popular as their algorithms get progressively better, and their use is expected to have the large effect on improving the health care system. Also, the pandemic was a chance to s...
A survey on the utilization of Superpixel image for clustering based image segmentation [0.03%]
基于聚类的图像分割中超像素图象利用的研究综述
Buddhadev Sasmal,Krishna Gopal Dhal
Buddhadev Sasmal
Superpixel become increasingly popular in image segmentation field as it greatly helps image segmentation techniques to segment the region of interest accurately in noisy environment and also reduces the computation effort to a great extent...
A robust semi-fragile watermarking system using Pseudo-Zernike moments and dual tree complex wavelet transform for social media content authentication [0.03%]
基于伪齐尔尼克矩和双树复小波变换的社交媒体内容认证鲁棒半脆弱水印系统
L Agilandeeswari,M Prabukumar,Farhan A Alenizi
L Agilandeeswari
With the growing use of mobile devices and Online Social Networks (OSNs), sharing digital content, especially digital images is extremely high as well as popular. This made us convenient to handle the ongoing COVID-19 crisis which has broug...