Results 141 to 150 of about 4,527 (205)
[Lipidomics analysis of glycine-induced bacterial outer membrane vesicles]. [PDF]
Se PuSong JY, Qi XL, Guo HZ, Hu LH.
europepmc +1 more source
[Bibliometric analysis of exosomes in the biomarker research field]. [PDF]
Se PuHuang YX +5 more
europepmc +1 more source
[<i>Shenqi Buzhong</i> Formula ameliorates mitochondrial dysfunction in a rat model of chronic obstructive pulmonary disease by activating the AMPK/SIRT1/PGC-1α pathway]. [PDF]
Nan Fang Yi Ke Da Xue Xue BaoZhang L +8 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Frontiers of Information Technology & Electronic Engineering, 2023
图像秘密分享（ISS）的研究越来越多，主要因为数字图像的重要性以及ISS可以广泛应用于云分布式存储和多方安全计算。影子图像认证日渐重要，通常包括影子图像真实性检测和识别。然而，传统处理者参与的方法主要是单向验证，即在解码阶段验证影子图像，存在像素扩张或额外辅助信息等不足。因此，分发（编码）阶段的影子图像认证对参与者来说也很重要。本文引入一种基于公钥的双向影子图像认证方法，实现(k, n)门限且无像素扩张。当处理者将每个影子图像分发给相应参与者时，参与者可以用其私钥验证接收到的影子图像。在解码阶段 ...
Xuehu Yan +3 more
semanticscholar +1 more source
图像秘密分享（ISS）的研究越来越多，主要因为数字图像的重要性以及ISS可以广泛应用于云分布式存储和多方安全计算。影子图像认证日渐重要，通常包括影子图像真实性检测和识别。然而，传统处理者参与的方法主要是单向验证，即在解码阶段验证影子图像，存在像素扩张或额外辅助信息等不足。因此，分发（编码）阶段的影子图像认证对参与者来说也很重要。本文引入一种基于公钥的双向影子图像认证方法，实现(k, n)门限且无像素扩张。当处理者将每个影子图像分发给相应参与者时，参与者可以用其私钥验证接收到的影子图像。在解码阶段 ...
Xuehu Yan +3 more
semanticscholar +1 more source
Mask R-CNN and multifeature clustering model for catenary insulator recognition and defect detection
Journal of Zhejiang University: Science A, 2022Rod insulators are vital parts of the catenary of high speed railways (HSRs). There are many different catenary insulators, and the background of the insulator image is complicated. It is difficult to recognise insulators and detect defects automatically.
Ping Tan +7 more
semanticscholar +1 more source
Intrinsic self-representation for multi-view subspace clustering
Scientia Sinica Informationis, 2021Clustering of high-dimensional data has been a hotspot in the era of big data. Meanwhile, changes in data acquisition have promoted the rapid rise of multi-view learning.
基于谱聚类的方法、基于非负矩阵分解的方法 +31 more
semanticscholar +1 more source
, 2021
针对Faster R-CNN算法对多目标、小目标检测精度不高的问题，本文提出一种基于Faster R-CNN的多任务增强裂缝图像检测(Multitask Enhanced Dam Crack Image Detection Based on Faster R-CNN, ME-Faster R-CNN)方法。同时提出一种基于K-means的多源自适应平衡TrAdaBoost的迁移学习方法(multi-source adaptive balance TrAdaBoost based on K-means ...
毛莺池 +9 more
semanticscholar +1 more source
针对Faster R-CNN算法对多目标、小目标检测精度不高的问题，本文提出一种基于Faster R-CNN的多任务增强裂缝图像检测(Multitask Enhanced Dam Crack Image Detection Based on Faster R-CNN, ME-Faster R-CNN)方法。同时提出一种基于K-means的多源自适应平衡TrAdaBoost的迁移学习方法(multi-source adaptive balance TrAdaBoost based on K-means ...
毛莺池 +9 more
semanticscholar +1 more source
Flickr data for analysing tourists’ spatial behaviour and movement patterns
, 2020The purpose of this study is to analyse the suitability of photo-sharing platforms, such as Flickr, to extract relevant knowledge on tourists’ spatial movement and point of interest (POI) visitation behaviour and compare the most prominent clustering ...
W. Höpken +3 more
semanticscholar +1 more source