Results 71 to 80 of about 313,735 (187)
Applying deep learning to teleseismic phase detection and picking: PcP and PKiKP cases
Artificial Intelligence in GeosciencesThe availability of a tremendous amount of seismic data demands seismological researchers to analyze seismic phases efficiently. Recently, deep learning algorithms exhibit a powerful capability of detecting and picking on P- and S-wave phases.
Congcong Yuan, Jie Zhang
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Advances on the automatic estimation of the P-wave onset time
Annals of Geophysics, 2016 This work describes the automatic picking of the P-phase arrivals of the 3*106 seismic registers originated during the TOMO-ETNA experiment. Air-gun shots produced by the vessel “Sarmiento de Gamboa” and contemporary passive seismicity occurring in the ...
Luz García +15 more
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Multiple Specification of an Objects Size for Picking it up. [PDF]
, 1996 Subjects were asked to pick up disks. The apparent size of the disks was manipulated by a visual illusion. Of the two aspects of the action which depend on the objects size, only one was affected by the illusion.
Brenner, Eli, Jeroen.B.J., Smeets
core
Mixed analogue/digital phase picking algorithm in oversampling burst-mode clock phase alignment
Electronics Letters, 2009 A novel mixed analogue/digital design of a phase picking algorithm in an oversampling clock phase recovery is presented. The proposed approach results in reduced processing time, improved integrability with analogue front-end and low noise generation. Simulations of a 10 Gbit/s burst-mode clock phase alignment circuit in a 0.25 μm SiGe BiCMOS process ...
C. Mélange +7 more
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A Novel Classifier based on Firefly Algorithm
Journal of King Saud University: Computer and Information Sciences, 2020 During the past decade, assigning objects to one of several predefined classes with higher accuracy has received considerable focus among researchers.
Emad Mohamed Mashhour +3 more
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Task Selection for Bandit-Based Task Assignment in Heterogeneous Crowdsourcing [PDF]
, 2015 Task selection (picking an appropriate labeling task) and worker selection (assigning the labeling task to a suitable worker) are two major challenges in task assignment for crowdsourcing. Recently, worker selection has been successfully addressed by the
Sugiyama, Masashi, Zhang, Hao
core
Applied SciencesPremium tea holds a significant place in Chinese tea culture, enjoying immense popularity among domestic consumers and an esteemed reputation in the international market, thereby significantly impacting the Chinese economy.
Luofa Wu, Helai Liu, Chun Ye, Yanqi Wu
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An algorithm for automated phase picking and localization of seismic events. [PDF]
, 2014 Durante gli ultimi anni, la diffusione della sismometria digitale ha reso disponibile una grande quantità di dati utili alla localizzazione di eventi sismici di diversa natura. L’analisi di queste informazioni richiede tuttavia una enorme mole di lavoro,
PAPALEO, ELVIRA
core
Application of a convolutional neural network for seismic phase picking of mining-induced seismicity. [PDF]
Geophys J Int, 2021 Johnson SW +3 more
europepmc +1 more source
Testing and Debugging Techniques for Answer Set Solver Development
, 2010 This paper develops automated testing and debugging techniques for answer set solver development. We describe a flexible grammar-based black-box ASP fuzz testing tool which is able to reveal various defects such as unsound and incomplete behavior, i.e ...
Brummayer, Robert, Järvisalo, Matti
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