imagelab.at bewertung und analyse
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| Title | Epina ImageLab - |
| Description | Epina ImageLab is a Microsoft Windows-based multisensor imaging tool for processing and analyzing hyperspectral images. It is a modular system consisting |
| Keywords | Epina ImageLab |
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| WebSite | |
| Host IP | 87.230.60.41 |
| Location | Germany |
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imagelab.at bewertung
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Euro€7,714
Zuletzt aktualisiert: 2022-07-22 12:26:02
imagelab.at hat Semrush globalen Rang von 3,650,202. imagelab.at hat einen geschätzten Wert von € 7,714, basierend auf seinen geschätzten Werbeeinnahmen. imagelab.at empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in Germany mit der IP-Adresse 87.230.60.41. Laut SiteAdvisor ist imagelab.at sicher zu besuchen. |
Verkehr & Wertschätzungen
| Kauf-/Verkaufswert | Euro€7,714 |
| Tägliche Werbeeinnahmen | Euro€216,543 |
| Monatlicher Anzeigenumsatz | Euro€72,181 |
| Jährliche Werbeeinnahmen | Euro€4,959 |
| Tägliche eindeutige Besucher | 551 |
| Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen. | |
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| Host | Type | TTL | Data |
| imagelab.at. | A | 600 | IP: 87.230.60.41 |
| imagelab.at. | AAAA | 599 | IPV6: 2a01:488:42:1000:57e6:3c29:cf:6d0a |
| imagelab.at. | NS | 3600 | NS Record: ns36.domaincontrol.com. |
| imagelab.at. | NS | 3600 | NS Record: ns35.domaincontrol.com. |
| imagelab.at. | MX | 600 | MX Record: 50 mx0.imagelab.at. |
HtmlToTextCheckTime:2022-07-22 12:26:02
| Epina ImageLab is a Microsoft Windows-based multisensor imaging tool for processing and analyzing hyperspectral images. It is a modular system consisting of a basic engine, a graphical user interface, a chemometrics toolbox and optional user-supplied modules. It supports the most important spectroscopic imaging techniques, such as UV/Vis, infrared, Raman, THz, optical emission/absorption, and mass spectrometry. On top of that Epina ImageLab enables the user to merge hyperspectral images with maps of physical properties and conventional high-resolution color photos. Available editions of Epina ImageLab Key Features - Detection of Suspicious Pixels - Image Stack - Basic set of mathematical methods - Principal Component Analysis - K-Means Clustering - PLS Discriminant Analysis Key Features - 4D Data Model - 64-Bit Architechture - Multisensor Support - ImageLab Script Automation - KNN Classifiers - Random Forest Classifiers - Multiprocessing Support Key Features - User Definable Spectral |
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