An improved immune plasma algorithm with a regional pandemic restriction [0.03%]
一种改进的免疫血浆算法及区域疫情阻隔方法
Selcuk Aslan,Sercan Demirci
Selcuk Aslan
The coronavirus (COVID-19) and its global effect have increased the interests of researchers from different disciplines to the medical methods such as immune or convalescent plasma treatment. Immune Plasma algorithm (IPA) that is the first ...
COVID-19 detection on chest radiographs using feature fusion based deep learning [0.03%]
基于特征融合的深度学习在胸部X光片新型冠状病毒性肺炎检测中的应用研究
Fatih Bayram,Alaa Eleyan
Fatih Bayram
The year 2020 will certainly be remembered in human history as the year in which humans faced a global pandemic that drastically affected every living soul on planet earth. The COVID-19 pandemic certainly had a massive impact on human's soc...
Elder emotion classification through multimodal fusion of intermediate layers and cross-modal transfer learning [0.03%]
基于中间层多模态融合及跨模态迁移学习的老年人情感分类
P Sreevidya,S Veni,O V Ramana Murthy
P Sreevidya
The objective of the work is to develop an automated emotion recognition system specifically targeted to elderly people. A multi-modal system is developed which has integrated information from audio and video modalities. The database select...
SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images-Part II [0.03%]
SARS-CoV-2：提高和分割高分辨率显微图像的算法的理论分析（第二部分）
Roberto Rodríguez,Brian A Mondeja,Odalys Valdes et al.
Roberto Rodríguez et al.
Today is a reality that the novel coronavirus SARS-Cov-2 has become a global pandemic. For this reason, the study of real microscopic images of this coronavirus is of great importance, as it allows us to carry out a more precise research on...
Efficient masked face recognition method during the COVID-19 pandemic [0.03%]
COVID-19大流行期间高效的戴口罩人脸识别方法
Walid Hariri
Walid Hariri
The coronavirus disease (COVID-19) is an unparalleled crisis leading to a huge number of casualties and security problems. In order to reduce the spread of coronavirus, people often wear masks to protect themselves. This makes face recognit...
Frequency-domain loss function for deep exposure correction of dark images [0.03%]
暗图像深度曝光校正的频率域损失函数
Ojasvi Yadav,Koustav Ghosal,Sebastian Lutz et al.
Ojasvi Yadav et al.
We address the problem of exposure correction of dark, blurry and noisy images captured in low-light conditions in the wild. Classical image-denoising filters work well in the frequency space but are constrained by several factors such as t...
Nicholas Dwork,Daniel O&#x;Connor,Corey A Baron et al.
Nicholas Dwork et al.
Compressed sensing has empowered quality image reconstruction with fewer data samples than previously thought possible. These techniques rely on a sparsifying linear transformation. The Daubechies wavelet transform is commonly used for this...
Computer-aided detection of COVID-19 from CT scans using an ensemble of CNNs and KSVM classifier [0.03%]
基于CNN和KSVM分类器的CT扫描COVID-19辅助检测方法
Bejoy Abraham,Madhu S Nair
Bejoy Abraham
Corona Virus Disease-2019 (COVID-19) is a global pandemic which is spreading briskly across the globe. The gold standard for the diagnosis of COVID-19 is viral nucleic acid detection with real-time polymerase chain reaction (RT-PCR). Howeve...
A deep learning framework using CNN and stacked Bi-GRU for COVID-19 predictions in India [0.03%]
基于CNN和堆叠Bi-GRU的深度学习框架在印度进行COVID-19预测中的应用研究
Sahil Ahuja,Nitin Arvind Shelke,Pawan Kumar Singh
Sahil Ahuja
The novel coronavirus infection (COVID-19) first appeared in Wuhan, China, in December 2019. COVID-19 declared as a global pandemic by the WHO was the most rapidly spreading disease all across the world. India, the second most populated nat...
Jianhua Yin,Longzhen Zhu,Yang Bai et al.
Jianhua Yin et al.
To improve the performance of local learned descriptors, many researchers pay primary attention to the triplet loss network. As expected, it is useful to achieve state-of-the-art performance on various datasets. However, these local learned...