Organization Name (de) Name der Organisation (de)
Purdue University, USA
 


Results 1-9 of 9 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Pourhoseinian, Mohammad ; Asasian Kolur, Neda ; Sharifian, Seyedmehdi Comparative computational fluid dynamics analysis of fast pyrolysis of agricultural feedstocks across different biomass categoriesArticle Artikel Jan-2024
2Aumayr, Lukas ; Moreno-Sanchez, Pedro ; Kate, Aniket ; Maffei, Matteo Breaking and Fixing Virtual Channels: Domino Attack and DonnerPresentation Vortrag6-Sep-2023
3Sharifian, Seyedmehdi ; Asasian Kolur, Neda ; Najafi, Hanieh ; Haddadi Sisakht, Bahram ; Jordan, Christian ; Harasek, Michael Reusable granulated silica pillared clay for wastewater treatment, selective for adsorption of Ni(II)Article Artikel Jun-2023
4Asasian Kolur, Neda ; Sharifian, Seyedmehdi ; Haddadi Sisakht, Bahram ; Jordan, Christian ; Harasek, Michael Ordered porous carbon preparation by hard templating approach for hydrogen adsorption applicationArticle Artikel 6-May-2023
5Avarikioti, Georgia ; Lizurej, Tomasz ; Michalak, Tomasz ; Yeo, Michelle Lightning Creation GamesInproceedings Konferenzbeitrag 2023
6Patel, A. ; Gollner, Claudia ; Jutas, Rokas ; Shumakova, Valentina ; Shneider, Mikhail N ; Pugzlys, Audrius ; Baltuska, Andrius ; Shashurin, Alexey Ionization rate and plasma dynamics at 3.9 micron femtosecond photoionization of airArticle Artikel 23-Nov-2022
7Behnood, Ali ; Daneshvar, Dana A machine learning study of the dynamic modulus of asphalt concretes: An application of M5P model tree algorithmArticle Artikel 30-Nov-2020
8Daneshvar, Dana ; Behnood, Ali Estimation of the dynamic modulus of asphalt concretes using random forests algorithmArticle Artikel 23-Mar-2020
922_ART Abstraction Refinement_Guided Training for Provably Correct Neural Networks.pdf.jpgLin, Xuankang ; Zhu, He ; Samanta, Roopsha ; Jagannathan, Suresh ART: Abstraction Refinement-Guided Training for Provably Correct Neural NetworksKonferenzbeitrag Inproceedings 2020