Adaptafood: an intelligent system to adapt recipes to specialised diets and healthy lifestyles [0.03%]
适应饮食和健康生活方式的智能食谱适配系统
Andrea Morales-Garzón,Karel Gutiérrez-Batista,Maria J Martin-Bautista
Andrea Morales-Garzón
This paper presents AdaptaFood, a system to adapt recipes to specific dietary constraints. This is a common societal issue due to various dietary needs arising from medical conditions, allergies, or nutritional preferences. AdaptaFood provi...
COVID-SegNet: encoder-decoder-based architecture for COVID-19 lesion segmentation in chest X-ray [0.03%]
基于编码器解码器的COVID-19肺部X光病变分割网络
Tarun Agrawal,Prakash Choudhary
Tarun Agrawal
The coronavirus disease 2019, initially named 2019-nCOV (COVID-19) has been declared a global pandemic by the World Health Organization in March 2020. Because of the growing number of COVID patients, the world's health infrastructure has co...
Ensemble deep honey architecture for COVID-19 prediction using CT scan and chest X-ray images [0.03%]
基于CT扫描和胸部X光图像的COVID-19预测的集成深蜂蜜架构
B Bhaskar Reddy,M Venkata Sudhakar,P Rahul Reddy et al.
B Bhaskar Reddy et al.
Recently, the infectious disease COVID-19 remains to have a catastrophic effect on the lives of human beings all over the world. To combat this deadliest disease, it is essential to screen the affected people quickly and least inexpensively...
An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works [0.03%]
用于COVID-19检测的深度学习技术综述：方法、挑战和未来工作
Ercan Gürsoy,Yasin Kaya
Ercan Gürsoy
The World Health Organization (WHO) declared a pandemic in response to the coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the disease appears to have lost its impact, millions of people have been affecte...
A survey on face presentation attack detection mechanisms: hitherto and future perspectives [0.03%]
人脸防伪机制的研究现状及未来展望
Deepika Sharma,Arvind Selwal
Deepika Sharma
The advances in human face recognition (FR) systems have recorded sublime success for automatic and secured authentication in diverse domains. Although the traditional methods have been overshadowed by face recognition counterpart during th...
Role of deep learning models and analytics in industrial multimedia environment [0.03%]
深度学习模型和分析在工业多媒体环境中的作用
Nawab Muhammad Faseeh Qureshi,Varun G Menon,Ali Kashif Bashir et al.
Nawab Muhammad Faseeh Qureshi et al.
Performance analysis of U-Net with hybrid loss for foreground detection [0.03%]
基于混合损失的U-Net前景检测性能分析
Rudrika Kalsotra,Sakshi Arora
Rudrika Kalsotra
With the latest developments in deep neural networks, the convolutional neural network (CNN) has made considerable progress in the area of foreground detection. However, the top-rank background subtraction algorithms for foreground detectio...
Learning effective embedding for automated COVID-19 prediction from chest X-ray images [0.03%]
从胸部X光图像中学习有效的嵌入以进行自动化COVID-19预测
Sree Ganesh T N,Rishi Satish,Rajeswari Sridhar
Sree Ganesh T N
The pandemic that the SARS-CoV-2 originated in 2019 is continuing to cause serious havoc on the global population's health, economy, and livelihood. A critical way to suppress and restrain this pandemic is the early detection of COVID-19, w...
DATaR: Depth Augmented Target Redetection using Kernelized Correlation Filter [0.03%]
基于核相关滤波的深度增强目标重检测方法(DATAR)
Srishti Yadav,Shahram Payandeh
Srishti Yadav
Unlike deep learning which requires large training datasets, correlation filter-based trackers like Kernelized Correlation Filter (KCF) use implicit properties of tracked images (circulant structure) for training in real time. Despite their...
Fake COVID-19 videos detector based on frames and audio watermarking [0.03%]
基于帧和音频水印的假COVID-19视频检测器
Nesrine Tarhouni,Salma Masmoudi,Maha Charfeddine et al.
Nesrine Tarhouni et al.
With the innovation and development of advanced video editing technology and the widespread use of video information and services in our society, it is increasingly necessary to maintain the reliability of video information. As a result, se...