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Non-profiled Mask Recovery: The Impact of Independent Component Analysis
[chapter]
2019
Springer Climate
We propose a novel approach based on Independent Component Analysis (ICA) to efficiently utilise the information from several leakage points to reconstruct the respective masks (for each trace) and show ...
points of the respectively used mask(s). ...
Acknowledgements This work has been funded in part by the National Key R&D Program of China(2018YFB0904900, 2018YFB0904901) and EPSRC under grant agreement EP/N011635/1 (LADA). ...
doi:10.1007/978-3-030-15462-2_4
dblp:conf/cardis/GaoOCX18
fatcat:hj7uafssi5cfbaedluxhyqmx4m
Recovery of 21 cm intensity maps with sparse component separation
[article]
2020
arXiv
pre-print
Here, we test the sparsity-based algorithm Generalised Morphological Component Analysis (GMCA) as a blind component separation technique for this class of experiments. ...
To our knowledge, this is the first time the removal of such component is performed with no prior assumption. ...
DATA AVAILABILITY The simulated data underlying this article are publicly available in Zenodo, at http://doi.org/10.5281/zenodo.3991818. ...
arXiv:2006.05996v2
fatcat:o6bhsmbq2rhutlcnedulwyfnlm
Using Rescue Points to Navigate Software Recovery
2007
2007 IEEE Symposium on Security and Privacy (SP '07)
The use of rescue points reduces the chance of unanticipated execution paths thereby making recovery more robust by mimicking system behavior under controlled error conditions. ...
To discover rescue points applications are profiled and monitored during tests that bombard the program with bad/random inputs. ...
Acknowledgements We thank the anonymous reviewers and our shepherd Diego Zamboni for their insightful comments and suggestions on the paper. ...
doi:10.1109/sp.2007.38
dblp:conf/sp/SidiroglouLKN07
fatcat:wnljgypeu5ehrd7ag2t5d4osai
Motor Recovery After Subcortical Stroke Depends on Modulation of Extant Motor Networks
2015
Frontiers in Neurology
There was no distinction between groups or tasks until the last stage of analysis, which allowed TICA to identify independent components (ICs) that were common or distinct to each group or task with no ...
Using multivariate analysis (tensor-independent component analysis -TICA), we map the neural networks involved during motor imagery (MI) and executed movement (EM) in subcortical stroke patients and age-matched ...
We are able to use a "blinded task" during the production of the independent components (ICs) as they have the same temporal profile. ...
doi:10.3389/fneur.2015.00230
pmid:26635715
pmcid:PMC4644932
fatcat:l347yfyvsfgtfdqelz6kkio6om
Recovery from cannabis use disorders: Abstinence versus moderation and treatment-assisted recovery versus natural recovery
2015
Psychology of Addictive Behaviors
The first primary objective was to provide an exploratory portrait of the recovery process from cannabis use disorders from the perspective of individuals who have recovered. ...
Several interesting and important findings emerged at the level of the total sample (N = 119), as well as at the level of group comparisons between the different recovery pathways. ...
For example, one high profile, complex survey in the United Kingdom employed a multicriteria decision analysis by Members of the Independent Scientific Committee on Drugs to determine the relative harmfulness ...
doi:10.1037/adb0000097
pmid:26168224
fatcat:nw373dopv5fbjlwcm34dkr5ddq
Estimation of hydrological drought recovery based on precipitation and Gravity Recovery and Climate Experiment (GRACE) water storage deficit
2021
Hydrology and Earth System Sciences
Previous studies have examined the use of Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage anomalies to measure the amount of water missing from a drought-affected region, and ...
Precipitation scenarios are convolved with water deficit estimates (from GRACE) to calculate the best estimate of a drought recovery period. ...
The research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Financial support. ...
doi:10.5194/hess-25-511-2021
fatcat:edff2mmj65c6botppuzy2urjcu
Chromatic Aberration Recovery on Arbitrary Images
[article]
2021
arXiv
pre-print
A series of test images are used to validate the functioning of the algorithm, and changes across a series of real-world images are used to evaluate the performance of the approach. ...
This work demonstrates the robust and automatic minimisation of lateral chromatic aberration, recovering the loss of image quality using both artificial and real-world images. ...
Acknowledgements This work was enabled by the guidance of my supervisor, Professor Majid Mirmehdi, whom I extend my deepest gratitude to. ...
arXiv:2110.04030v1
fatcat:j5paakqflvbuxgt3itniylkjz4
Recovery of damped exponentials using structured low rank matrix completion
[article]
2017
arXiv
pre-print
Since the direct use of current low rank matrix recovery schemes to this problem is associated with high computational complexity and memory demand, we adopt an iterative re-weighted least squares (IRLS ...
) algorithm, which facilitates the exploitation of the convolutional structure of the matrix. ...
To create the single channel data, we performed a principal component analysis (PCA) on the original multi-channel data and selected the most significant component to obtain a coil compressed data. ...
arXiv:1704.04511v2
fatcat:tf3jpeuibng7bbbxdpbvzxivdm
A roadmap of brain recovery in a mouse model of concussion: insights from neuroimaging
2021
Acta Neuropathologica Communications
These results have significant translational impact in developing methods for the detection of human concussion and the time course of brain recovery. ...
Our results demonstrate the capabilities of advanced MRI in detecting the effects of a single concussive impact in the brain, and highlight a mismatch in the onset and temporal evolution of behaviour, ...
of image processing computational resources at the Centre for Advanced Imaging, the University of Queensland. ...
doi:10.1186/s40478-020-01098-y
pmid:33407949
pmcid:PMC7789702
fatcat:bhkt6y4afbazpiazxtz3a76wvi
Photonic machine learning implementation for signal recovery in optical communications
2018
Scientific Reports
At the receiver side, high-speed digital signal processing (DSP) algorithms 35-39 with low-complexity have improved signal recovery by mitigating linear and nonlinear signal distortions. ...
Inevitably though, these power levels limit the signal-to-noise ratio (SNR) of the received signal, given the standard detection capabilities of fast photoreceivers. ...
This work was supported by the Ministerio de Economía y Competitividad and FEDER via project IDEA (TEC2016-80063-C3), and by the European Union's Horizon 2020 research and innovation programme under the ...
doi:10.1038/s41598-018-26927-y
pmid:29855549
pmcid:PMC5981473
fatcat:ivhquahxznhczk2m3z2irybtau
Storm impacts and shoreline recovery: Mechanisms and controls in the southern North Sea
2017
Geomorphology
Over the last decade, four extreme storms, with strong energetic waves and high still water levels resulting from high spring tides and large skew surge residuals, have impacted the shoreline of the southern ...
For one study area, Scolt Head Island, no recovery was seen; this section of the coast is being reset episodically landwards during storms. ...
The authors gratefully acknowledge the UK Environment Agency (in particular David Welsh of the Anglian Shoreline Management Group) for the supply of cross-shore profile data and aerial photography. ...
doi:10.1016/j.geomorph.2017.01.007
fatcat:tts2ecqb75dtrbmzji2tr4ylx4
Dynamic connectivity predicts acute motor impairment and recovery post-stroke
2021
Brain Communications
Dynamic connectivity-derived parameters constitute potent predictors of acute impairment and recovery, which, in the future, might inform personalized therapy regimens to promote stroke recovery. ...
We here built random forest classifier-based prediction models of acute motor impairment and recovery post-stroke. ...
Acknowledgements We are grateful to our colleagues at the Department of Neurology, University Hospital Cologne & Medical Faculty, University of Cologne, for valuable support and discussions. ...
doi:10.1093/braincomms/fcab227
pmid:34778761
pmcid:PMC8578497
fatcat:v3kjerqomfbrhlh464lgl7vp4a
Impact of Exercise on Heart Rate Recovery
2011
Circulation
Heart rate recovery, defined as the difference between heart rate at peak exercise and exactly 1 minute into the recovery period, and mortality were followed up as the primary end points. ...
Conclusions-Heart rate recovery improved after phase 2 cardiac rehabilitation in the overall cohort. There was a strong association of abnormal HRR at exit with all-cause mortality. ...
Heart rate
recovery after exercise is a predictor of mortality, independent of the
angiographic severity of coronary disease. J Am Coll Cardiol. 2003;42:
831-838.
28. ...
doi:10.1161/circulationaha.110.005009
pmid:21947293
fatcat:letrzslu4vd57efzk7uqv4kwmy
COVID-19 in Neonates and Infants
2020
The Pediatric Infectious Disease Journal
Between March 10, 2020 and April 17, 2020, of 8/70 (11.4%) SARS-CoV-2 positive infants that presented, 5/8 (63%) developed fever, 4/8 (50%) had lower respiratory tract involvement, 2/8 (25%) had neutropenia ...
This is based on limited indirect evidence supporting the use of non-medical face masks as a means of source control. ...
a central component of the response to COVD-19. ...
doi:10.1097/inf.0000000000002738
pmid:32384398
fatcat:3mnwgwhuafga7eqc2fg5umn4p4
Sector Wise Impact of COVID-19 on the Indian Economy and Implementation of Possible Strategies for Financial Recovery
2021
Zenodo
COVID-19 has far reaching impact on various sectors of the Indian economy and hence the Government of India is working on implementing various strategies for swift economic recovery. ...
COVID-19 has impacted the primary, secondary, tertiary, and quaternary sectors differently. Hence, it's important to analyze the impact, recovery period and reasons for the same. ...
India has an import of 50%-60% of the total products and 70%-80% of the components. ...
doi:10.5281/zenodo.4762678
fatcat:jt5xu72y7fh5dljklopnwsubgq
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