Zobrazeno 1 - 10
of 353
pro vyhledávání: '"Vlad, L."'
Autor:
Vlad L. Negulescu
Publikováno v:
International Journal of Applied Physics. 8:21-29
Autor:
Pop, Vlad L.
Human error taxonomies have been implemented in numerous safety critical industries. These taxonomies have provided invaluable insight into understanding the underlying causes of human error; however, their utility for actually predicting future erro
Externí odkaz:
http://hdl.handle.net/1853/54320
Autor:
Vlad L. Negulescu
Publikováno v:
Transactions on Networks and Communications. 7:27-36
A new concept of holomorphy in pseudo-Euclidean spaces is briefly presented. The set of extended Cauchy-Riemannn differential equations, which are verified by the holomorphic functions, is obtained. A form of the general pseudo-rotation matrix was de
Autor:
Mocan L, Tabaran F, Mocan T, Bele C, Orza A, Lucan C, Stiufiuc R, Manaila I, Iulia F, Dana I, Zaharie F, Osian G, Vlad L, Iancu C
Publikováno v:
International Journal of Nanomedicine, Vol 2011, Iss default, Pp 915-928 (2011)
Lucian Mocan1, Flaviu A Tabaran2, Teodora Mocan1, Constantin Bele3, Anamaria Ioana Orza1, Ciprian Lucan4, Rares Stiufiuc1, Ioana Manaila1, Ferencz Iulia1, Iancu Dana1, Florin Zaharie1, Gelu Osian1, Liviu Vlad1, Cornel Iancu11Department of Nanomedicin
Externí odkaz:
https://doaj.org/article/fd8a047cd27d4f83b8ed8e1aa3312ddd
Publikováno v:
In Materials Science & Engineering B 2010 167(2):119-123
Akademický článek
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Publikováno v:
Chemistry of Natural Compounds. Jan2013, Vol. 48 Issue 6, p974-977. 4p. 1 Diagram, 1 Chart.
Autor:
Makaev, F. Z.1 flmacaev@cc.acad.md, Vlad, L. A.1, Bets, L. P.1, Malinovskii, S. T.1, Gavrilov, K. N.2, Gdanets, M.3
Publikováno v:
Chemistry of Natural Compounds. Sep2010, Vol. 46 Issue 4, p528-533. 6p. 5 Diagrams, 1 Chart.
Autor:
Ute Fischer, Daniel G. Morrow, Francis T. Durso, Rudolph L. Mappus, Karen M. Feigh, Katlyn Sullivan, Vlad L. Pop, Kathleen L. Mosier
Publikováno v:
Reliability Engineering & System Safety. 114:26-35
The increased complexity and interconnectivity of flight deck automation has made the prediction of human–automation interaction (HAI) difficult and has resulted in a number of accidents and incidents. There is a need to develop objective and robus