Online attendance system based on facial recognition with face mask detection [0.03%]
基于口罩人脸识别的在线考勤系统
Muhammad Haikal Mohd Kamil,Norliza Zaini,Lucyantie Mazalan et al.
Muhammad Haikal Mohd Kamil et al.
This paper presents an online system for recording attendance based on facial recognition incorporating facial mask detection. The main objective of this project is to develop an effective attendance system based on face recognition and fac...
Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancer [0.03%]
基于批次训练技术的混合损失残差神经网络在肺癌EGFR突变状态识别中的应用研究
Liye Jia,Wei Wu,Guojie Hou et al.
Liye Jia et al.
Epidermal growth factor receptor (EGFR) is the key to targeted therapy with tyrosine kinase inhibitors in lung cancer. Traditional identification of EGFR mutation status requires biopsy and sequence testing, which may not be suitable for ce...
Einstein exponential operation laws of spherical fuzzy sets and aggregation operators in decision making [0.03%]
基于指数运算律的球形模糊集排序及在决策中的应用
D Ajay,Ganeshsree Selvachandran,J Aldring et al.
D Ajay et al.
The spherical fuzzy set (SFS) model is one of the newly developed extensions of fuzzy sets (FS) for the purpose of dealing with uncertainty or vagueness in decision making. The aim of this paper is to define new exponential and Einstein exp...
Identification of traffic signs for advanced driving assistance systems in smart cities using deep learning [0.03%]
基于深度学习的面向智慧城市的先进驾驶辅助系统交通标志识别方法研究
Kshitij Dhawan,Srinivasa Perumal R,Nadesh R K
Kshitij Dhawan
The ability of Advanced Driving Assistance Systems (ADAS) is to identify and understand all objects around the vehicle under varying driving conditions and environmental factors is critical. Today's vehicles are equipped with advanced drivi...
Exploring the effects of pandemics on transportation through correlations and deep learning techniques [0.03%]
基于相关性和深度学习的交通运输疫情效应研究
Samah A Gamel,Esraa Hassan,Nora El-Rashidy et al.
Samah A Gamel et al.
The COVID-19 pandemic has had a significant impact on human migration worldwide, affecting transportation patterns in cities. Many cities have issued "stay-at-home" orders during the outbreak, causing commuters to change their usual modes o...
A cross-modal deep metric learning model for disease diagnosis based on chest x-ray images [0.03%]
基于胸部X光图像的疾病诊断的跨模态深度度量学习模型
Yufei Jin,Huijuan Lu,Zhao Li et al.
Yufei Jin et al.
The emergence of unknown diseases is often with few or no samples available. Zero-shot learning and few-shot learning have promising applications in medical image analysis. In this paper, we propose a Cross-Modal Deep Metric Learning Genera...
Structure-constrained deep feature fusion for chronic otitis media and cholesteatoma identification [0.03%]
结构约束的深度特征融合在慢性中耳炎和胆脂瘤识别中的应用研究
Cong Cao,Jian Song,Ri Su et al.
Cong Cao et al.
Chronic suppurative otitis media (CSOM) and middle ear cholesteatoma (MEC) were two most common chronic middle ear disease(MED) clinically. Accurate differential diagnosis between these two diseases is of high clinical importance given the ...
A nomadic multi-agent based privacy metrics for e-health care: a deep learning approach [0.03%]
一种基于游牧式多智能体的电子健康隐私度量标准：深度学习方法
Chandramohan Dhasarathan,M Shanmugam,Manish Kumar et al.
Chandramohan Dhasarathan et al.
In recent years, there has been a surge in the use of deep learning systems for e-healthcare applications. While these systems can provide significant benefits regarding improved diagnosis and treatment, they also pose substantial privacy r...
Face presentation attack detection performances of facial regions with multi-block LBP features [0.03%]
基于多块LBP特征的面部区域防伪检测性能研究
Asuman Günay Yılmaz,Uğur Turhal,Vasif Nabiyev
Asuman Günay Yılmaz
Biometric recognition systems are frequently used in daily life although they are vulnerable to attacks. Today, especially the increasing use of face authentication systems has made these systems the target of face presentation attacks (FPA...
A lung sound recognition model to diagnoses the respiratory diseases by using transfer learning [0.03%]
基于迁移学习的呼吸音识别模型及其在呼吸系统疾病诊断中的应用
Kumari Nidhi Lal
Kumari Nidhi Lal
Respiratory disease is one of the leading causes of death in the world. Through advances in Artificial Intelligence, it appears possible for the days of misdiagnosis and treatment of respiratory disease symptoms rather than their root cause...