Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
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In: Applied Sciences, 2020, Volume 10, Issue 1, 304, 18 S.
- Schlagwort
-
Maschinelles Lernen
- Ereignis
-
Veröffentlichung
- (wo)
-
Weimar
- (wer)
-
Bauhaus-Universität Weimar
- (wann)
-
2019
- Urheber
-
Ouaer, Hocine
Hosseini, Amir Hossein
Amar, Menad Nait
Ben Seghier, Mohamed El Amine
Ghriga, Mohammed Abdelfetah
Nabipour, Narjes
Andersen, Pål Østebø
Mosavi, Amir
Shamshirband, Shahaboddin
- URN
-
urn:nbn:de:gbv:wim2-20200107-40558
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:47 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Ouaer, Hocine
- Hosseini, Amir Hossein
- Amar, Menad Nait
- Ben Seghier, Mohamed El Amine
- Ghriga, Mohammed Abdelfetah
- Nabipour, Narjes
- Andersen, Pål Østebø
- Mosavi, Amir
- Shamshirband, Shahaboddin
- Bauhaus-Universität Weimar
Entstanden
- 2019
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