COVID-19 contact tracking based on person reidentification and geospatial data [0.03%]
基于人的重识别和地理空间数据的COVID-19接触跟踪技术
Boxing Zhang,Huan Lei,Yingjie Cai et al.
Boxing Zhang et al.
Efficient contact tracing is a crucial step in preventing the spread of COVID-19. However, the current methods rely heavily on manual investigation and truthful reporting by high-risk individuals. Mobile applications and Bluetooth-based con...
Xiang Yu,Shui-Hua Wang,Yu-Dong Zhang
Xiang Yu
Detection of breast mass plays a very important role in making the diagnosis of breast cancer. For faster detection of breast cancer caused by breast mass, we developed a novel and efficient patch-based breast mass detection system for mamm...
GAM-SpCaNet: Gradient awareness minimization-based spinal convolution attention network for brain tumor classification [0.03%]
基于梯度感知最小化的脊髓卷积注意力网络的脑肿瘤分类方法 GAM-SpCaNet
Chaosheng Tang,Bin Li,Junding Sun et al.
Chaosheng Tang et al.
Brain tumor is one of the common diseases of the central nervous system, with high morbidity and mortality. Due to the wide range of brain tumor types and pathological types, the same type is divided into different subgrades. The imaging ma...
A close contact identification algorithm using kernel density estimation for the ship passenger health [0.03%]
基于核密度估计的船舶乘客密切接触者识别算法
Qianfeng Lin,Jooyoung Son
Qianfeng Lin
COVID-19 has been spread globally, with ships posing a significant challenge for virus containment due to their close-quartered environments. The most effective method for preventing the spread of the virus currently involves tracking and p...