Výsledky vyhledávání - "Source estimation"

Akademický článek

Investigating the effect of template head models on Event-Related Potential source localization: a simulation and real-data study

Autor: Emma Depuydt, Yana Criel, Miet De Letter, Pieter van Mierlo

Publikováno v: Frontiers in Neuroscience, Vol 18 (2024)

IntroductionEvent-Related Potentials (ERPs) are valuable for studying brain activity with millisecond-level temporal resolution. While the temporal resolution of this technique is excellent, the spatial resolution is limited. Source localization aims

Externí odkaz: https://doaj.org/article/0e844ae05ee04df186f4680c81b267ca

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Akademický článek

An inverse problem to estimate simultaneously the heat source strength for multiple integrated circuit chips on a printed circuit board

Autor: Cheng-Hung Huang, Ya-Rou Zhong

Publikováno v: AIMS Mathematics, Vol 9, Iss 4, Pp 8848-8867 (2024)

In this three-dimensional steady-state inverse heat transfer problem, we determine the magnitude of the spatially dependent volumetric heat source originating from multiple encapsulated chips mounted on a printed circuit board (PCB). Prior to the est

Externí odkaz: https://doaj.org/article/255cb2a989274ef8ac095d92302ac7c7

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Akademický článek

Deep learning estimation of scalar source distance for different turbulent and molecular diffusion environments

Autor: Takahiro TSUKAHARA, Takahiro ISHIGAMI, Motoki IRIKURA

Publikováno v: Journal of Fluid Science and Technology, Vol 19, Iss 2, Pp JFST0020-JFST0020 (2024)

In order to adopt convolutional neural networks (CNN) for practical use in estimating the source of scalar dispersion in turbulent flows, such as gas leaks in industrial plants, the inference accuracy was verified using scalar concentration distribut

Externí odkaz: https://doaj.org/article/899eba05bdef4bc0bbff085ea9631bed

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Akademický článek

Bleeding alert map (BAM): The identification method of the bleeding source in real organs using datasets made on mimicking organs

Autor: Maina Sogabe, Kaoru Ishikawa, Toshihiro Takamatsu, Koh Takeuchi, Takahiro Kanno, Koji Fujimoto, Tetsuro Miyazaki, Toshihiro Kawase, Toshihiko Sato, Kenji Kawashima

Publikováno v: Array, Vol 19, Iss , Pp 100308- (2023)

In thoraco-laparoscopic surgery, the identification of a bleeding source is recognized as one of the most important issues with hemostasis during operation. However, previously proposed techniques are only capable of detecting an approximate bleeding

Externí odkaz: https://doaj.org/article/b73d693eeea14d8fa8088fb080ff0528

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Akademický článek

To what extent tsunami source information can be extracted from tsunami deposits? Implications from the 2011 Tohoku-oki tsunami deposits and sediment transport simulations

Autor: Hidetoshi Masuda, Daisuke Sugawara, Tomoya Abe, Kazuhisa Goto

Publikováno v: Progress in Earth and Planetary Science, Vol 9, Iss 1, Pp 1-20 (2022)

Abstract A quantitative understanding of paleotsunamis is a significant issue in tsunami sedimentology. Onshore tsunami deposits, which are geological records of tsunami inundation, are used to reconstruct paleotsunami events. Numerical models of tsu

Externí odkaz: https://doaj.org/article/65a159d78e5746849cb8b5ea22970638

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Akademický článek

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Akademický článek

Foreign speech sound discrimination and associative word learning lead to a fast reconfiguration of resting-state networks

Autor: Stefan Elmer, Mireille Besson, Antoni Rodriguez-Fornells, Nathalie Giroud

Publikováno v: NeuroImage, Vol 271, Iss , Pp 120026- (2023)

Learning new words in an unfamiliar language is a complex endeavor that requires the orchestration of multiple perceptual and cognitive functions. Although the neural mechanisms governing word learning are becoming better understood, little is known

Externí odkaz: https://doaj.org/article/0550d40623fa47b6ab3e806600b2f903

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Akademický článek

Time-Lagged Multidimensional Pattern Connectivity (TL-MDPC): An EEG/MEG pattern transformation based functional connectivity metric

Autor: Setareh Rahimi, Rebecca Jackson, Seyedeh-Rezvan Farahibozorg, Olaf Hauk

Publikováno v: NeuroImage, Vol 270, Iss , Pp 119958- (2023)

Functional and effective connectivity methods are essential to study the complex information flow in brain networks underlying human cognition. Only recently have connectivity methods begun to emerge that make use of the full multidimensional informa

Externí odkaz: https://doaj.org/article/ba907a353ae345a1a3351ac9de36da96

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