Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sepeedeh Shahbeigi"'
Publikováno v:
IEEE Access, Vol 12, Pp 22671-22686 (2024)
Assisted and automated driving systems critically depend on high-quality sensor data to build accurate situational awareness. A key aspect of maintaining this quality is the ability to quantify the perception sensor degradation through detecting diss
Externí odkaz:
https://doaj.org/article/37b0d891ebe14b8d94e4896a97717d18
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:14166-14187
Publikováno v:
Journal of Applied Physics. 132:174302
Understanding the mechanical properties of graphene oxide (GO) is the primary challenge for applications in materials engineering. The degree of oxidation and concentration of epoxide functional groups have been the main focus of previous mechanochem
Autor:
Özden, Mert, Sepeedeh Shahbeigi, Hofmann, Martin, Zarepakzad, Sina, Karimzadehkhouei, Mehrdad, Esfahani, Mohammad Nasr, Holz, Mathias, Rangelow, Ivo W., Yalcinkaya, Arda Deniz, B. Erdem Alaca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8377498b9922a4f07f4e6fc9083d26d