Results 241 to 250 of about 9,948,343 (299)

Multi-scale residual convolutional block-based compressive sensing image reconstruction for vehicular communication. [PDF]

Sci Rep
Guan J.
europepmc   +1 more source

Federated radiomics analysis of preoperative MRI across institutions: toward integrated glioma segmentation and molecular subtyping. [PDF]

Front Radiol
Ren R, Zhu A, Li Y, Liu H, Huang G, Gu J, Ni J, Miao Z.   +7 more
europepmc   +1 more source

WSNs data acquisition by combining expected network coverage and clustered compressed sensing. [PDF]

PLoS One
Liu Z, Zhang Y, Bi Y, Wang J, Hou Y, Liu C, Jiang G, Li S.   +7 more
europepmc   +1 more source

Unifying Summary Statistic Selection for Approximate Bayesian Computation. [PDF]

Stat Comput
Hoffmann T, Onnela JP.
europepmc   +1 more source

Optical segmentation-based compressed readout of neuronal voltage dynamics. [PDF]

Nat Commun
Kim S, Yoon J, Ko G, Kang I, Tian H, Fan LZ, Li Y, Xiao G, Zhang Q, Cohen AE, Wu J, Dai Q, Choi M.   +12 more
europepmc   +1 more source

Compressed sensing acceleration of radial 3-D alternating Look-Locker T 1 mapping. [PDF]

Magn Reson Med
Aarnio A, Nykänen O, Kolehmainen V, Nissi MJ.   +3 more
europepmc   +1 more source

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Compressed sampling for heart rate monitoring

Computer Methods and Programs in Biomedicine, 2012
For the first time compressed sampling (CS) has been applied to heart rate (HR) measurements. The signals can be reconstructed from samples far below the Nyquist rate with negligible small errors, a sampling reduction of 8 has been demonstrated in the paper. As a result, the bitrate of the CS sampler is half when compared to a normal sampler.
Oliver, Faust, U Rajendra, Acharya, Jianguo, Ma, Lim Choo, Min, Toshiyo, Tamura   +4 more
openaire   +3 more sources

Adaptive Compressed Sampling Based on EMD for Wireless Sensor Networks

IEEE Sensors Journal, 2023
Image acquisition and communication in wireless sensor networks (WSNs) are key issues for some applications that require image sensing. Lowering the sampling rate and reducing the amount of data to be transmitted can greatly save hardware costs and power
Wei Wang, Jianhua Chen, Yufeng Zhang, Junkai Xia, Xiangxuan Zeng   +4 more
semanticscholar   +1 more source

Secure Transmission of Compressed Sampling Data Using Edge Clouds

IEEE Transactions on Industrial Informatics, 2020
Cloud capability is considered to be extended to the edge of the Internet for improving the security of data transmission. Compressive sensing (CS) has been widely studied as a built-in privacy-preserving layer to provide some cryptographic features ...
Yushu Zhang, Ping Wang, Liming Fang, Xing He, Hao Han, Bing Chen   +5 more
semanticscholar   +1 more source