mm-network-ing.de bewertung und analyse

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Description AI4BI M&M Network-Ing UG Home Team Services Portfolio Our Vision Publications AI4BI Digital change is replacing old technologies and producing new ones. This de
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WebSite mm-network-ing faviconmm-network-ing.de
Host IP 52.213.194.57
Location United States
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mm-network-ing.de bewertung
Euro2,204
Zuletzt aktualisiert: 2022-10-15 18:03:37

mm-network-ing.de hat Semrush globalen Rang von 13,597,729. mm-network-ing.de hat einen geschätzten Wert von € 2,204, basierend auf seinen geschätzten Werbeeinnahmen. mm-network-ing.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in United States mit der IP-Adresse 52.213.194.57. Laut SiteAdvisor ist mm-network-ing.de sicher zu besuchen.

Verkehr & Wertschätzungen
Kauf-/Verkaufswert Euro€2,204
Tägliche Werbeeinnahmen Euro€58,406
Monatlicher Anzeigenumsatz Euro€19,836
Jährliche Werbeeinnahmen Euro€1,653
Tägliche eindeutige Besucher 551
Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen.
DNS Records
Host Type TTL Data
mm-network-ing.de. A 31 IP: 52.213.194.57
mm-network-ing.de. A 31 IP: 54.77.189.99
mm-network-ing.de. A 31 IP: 52.213.48.46
mm-network-ing.de. A 31 IP: 52.18.148.237
mm-network-ing.de. A 31 IP: 52.213.4.89
mm-network-ing.de. A 31 IP: 54.154.107.92
mm-network-ing.de. A 31 IP: 52.17.207.149
mm-network-ing.de. A 31 IP: 52.50.200.106
mm-network-ing.de. NS 3600 NS Record: ns12.jimdo.com.
mm-network-ing.de. NS 3600 NS Record: ns11.jimdo.com.
HtmlToTextCheckTime:2022-10-15 18:03:37
M&M Network-Ing UG Home Team Services Portfolio Our Vision Publications AI4BI Digital change is replacing old technologies and producing new ones. This development creates many new opportunities, but also poses a lot of challenges. Our vision is the symbiosis of classical civil engineering and Artificial Intelligence. Therefore we formed our slogan: AI4BI - Artifical Intelligence for Building Industry Are you ready to face it? Back on 25.10.2019 Dr. Michael Kraus received the science price „Prof. Dr.-Ing. e.h. Karl-Kling“ by the Bundeswehr University Munich for my dissertation on „Machine Learning Techniques for the Parameter Identification of Laminated Glass in the Intact and Post-Fractured State“. #AI #MachineLearning #StructuralGlass New article from M&M on the topic: "Artificial intelligence for the building envelope" published by Dt. Ingeneieurblatt ( www.deutsches-ingenieurblatt.de ) Neuer Artikel von M&M zum Thema: "Künstliche Intelligenz für die Gebäudehülle" veröffentlicht
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