coquake.eu valuation and analysis

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Sitemap: http://coquake.eu/index.php/sitemap.xml Sitemap: http://coquake.eu/index.php/news-sitemap.xml User-agent: * Disallow: /wp-admin/ Allow:
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Title Controlling earthQuakes (CoQuake) | ERC Starting Grant
Description Controlling earthQuakes (CoQuake) ERC Starting Grant (2018-2023) Menu Home About CoQuake Group Principal Investigator Abdallah Aoude Laura Bagur Philipp B
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WebSite coquake faviconcoquake.eu
Host IP 192.185.21.117
Location United States
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coquake.eu Valuation
US$668,250
Last updated: 2023-05-14 12:38:43

coquake.eu has Semrush global rank of 15,838,844. coquake.eu has an estimated worth of US$ 668,250, based on its estimated Ads revenue. coquake.eu receives approximately 77,106 unique visitors each day. Its web server is located in United States, with IP address 192.185.21.117. According to SiteAdvisor, coquake.eu is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$668,250
Daily Ads Revenue US$617
Monthly Ads Revenue US$18,506
Yearly Ads Revenue US$222,065
Daily Unique Visitors 5,141
Note: All traffic and earnings values are estimates.
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Host Type TTL Data
coquake.eu. A 14398 IP: 192.185.21.117
coquake.eu. NS 86400 NS Record: ns8144.hostgator.com.
coquake.eu. NS 86400 NS Record: ns8143.hostgator.com.
coquake.eu. MX 14400 MX Record: 0 mail.coquake.eu.
coquake.eu. TXT 14400 TXT Record: v=spf1 a mx include:websitewelcome.com ~all
HtmlToTextCheckTime:2023-05-14 12:38:43
Controlling earthQuakes (CoQuake) ERC Starting Grant (2018-2023) Menu Home About CoQuake Group Principal Investigator Abdallah Aoude Laura Bagur Philipp Braun Diego Gutiérrez-Oribio Filippo Masi Efthymios Papachristos Alexandros Stathas Georgios Tzortzopoulos Publications Tools & Libraries Join us… Privacy Policy New paper: Evolution TANN and the identification of internal variables and continuous-time evolution equations in solid mechanics https://www.sciencedirect.com/science/article/pii/S0022509623000492 eTANN predictions of biaxial loading-unloading paths of a material with damage Machine learning (ML) approaches have shown high potential for replacing classical constitutive models for the description of the mechanical behavior of inelastic, heterogeneous materials. However, existing ML aproaches are incremental in time mostly and, therefore, they fail to provide a continuous-time constitutive description that is independent of the time step used for in training data generation.
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coquake.eu Whois Information
Domain: coquake.eu
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Language: en
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