Results 41 to 50 of about 1,312,830 (302)
Computational Efficiency of a Modular Reservoir Network for Image Recognition
Frontiers in Computational Neuroscience, 2021 Liquid state machine (LSM) is a type of recurrent spiking network with a strong relationship to neurophysiology and has achieved great success in time series processing.
Yifan Dai +3 more
doaj +1 more source
Evolution under fluctuating environments explains observed robustness in metabolic networks [PDF]
, 2010 Copyright: © 2010 Soyer, Pfeiffer. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and ...
Pfeiffer, Thomas +6 more
core +1 more source
Efficient Estimation of the Robustness Region of Biological Models with Oscillatory Behavior [PDF]
, 2010 Robustness is an essential feature of biological systems, and any mathematical model that describes such a system should reflect this feature. Especially, persistence of oscillatory behavior is an important issue. A benchmark model for this phenomenon is
Apri, M. +11 more
core +2 more sources
Finite-Time Consensus-Based Clock Synchronization Under Deception Attacks
IEEE Access, 2020 This paper concentrates on the finite-time clock synchronization problem for wireless sensor networks (WSNs) under deception attacks. Compared with adding additional communication links to a network, we introduce a new mechanism termed as “trusted
Yiming Wu, Xiongxiong He
doaj +1 more source
Stability of Liver Radiomics across Different 3D ROI Sizes—An MRI In Vivo Study
Tomography, 2021 We aimed to evaluate the stability of radiomic features in the liver of healthy individuals across different three-dimensional regions of interest (3D ROI) sizes in T1-weighted (T1w) and T2-weighted (T2w) images from different MR scanners.
Laura J. Jensen +5 more
doaj +1 more source
Testing the robustness of robust phase estimation [PDF]
Physical Review A, 2019 The Robust Phase Estimation (RPE) protocol was designed to be an efficient and robust way to calibrate quantum operations. The robustness of RPE refers to its ability to estimate a single parameter, usually gate amplitude, even when other parameters are poorly calibrated or when the gate experiences significant errors.
Adam M. Meier +3 more
openaire +2 more sources
A Novel Robust Classification Method for Ground-Based Clouds
Atmosphere, 2021 Though the traditional convolutional neural network has a high recognition rate in cloud classification, it has poor robustness in cloud classification with occlusion.
Aihua Yu +6 more
doaj +1 more source
Robust JPEG Steganography Based on the Robustness Classifier
EURASIP Journal on Information Security, 2023 Abstract The application of image steganography in popular image-sharing social networks requires robustness because the JPEG recompression in social networks changes the DCT coefficients of uploaded images. Currently, most robust steganography algorithms rely on the resistance of embedding to the general JPEG recompression process, while ...
Jimin Zhang, Xianfeng Zhao, Xiaolei He
openaire +3 more sources
On robustness properties of bootstrap approximations [PDF]
, 1991 Bootstrap approximations to the sampling distribution can be seen as generalized statistics taking values in a space of probability measures. We first analyze qualitative robustness [in Hampel's (1971) sense] of these statistics when the initial ...
Romo, Juan, Cuevas, Antonio
core +1 more source