Zobrazeno 1 - 10
of 96
pro vyhledávání: '"H. Peyvandi"'
Autor:
R. Yegane, H. Peyvandi
Publikováno v:
Bihdād, Vol 3, Iss 2, Pp 115-118 (2014)
Skin avulsions of male genitals are a rare traumatic plastic surgery and urologic emergency. This kind of trauma occur mainly because of accidents with industrial machines or agricultural machine belts. In this paper we reported two patients with tra
Externí odkaz:
https://doaj.org/article/1813b85cb77040eebeece1ce3f2fd462
Publikováno v:
Acta Medica Iranica, Vol 45, Iss 6, Pp 473-476 (2007)
There are many techniques for reconstruction after total pharyngolaryngoesophagectomy. The use of a transposed stomach to restore gastrointestinal continuity, and this combined cervical and abdominal approach for pharyngolaryngoesophagectomy and gast
Externí odkaz:
https://doaj.org/article/eae455b063ae4d9cb19aadb5950891b0
Autor:
H. Peyvandi, M. Talebpoor, Z. Begam Orang, H. Ahmadi Amoli, N. Motalebi, H.R. Hallaj Mofrad, B. Molavi, H. Asheri
Publikováno v:
Tehran University Medical Journal, Vol 64, Iss 9, Pp 33-39 (2006)
Background: Performing traditional autopsy mostly seems to be unpleasant in dead persons' relatives' opinion. This study aimed to determine the accuracy of laparoscopic examination of intra abdominal organs in comparison to the traditional autopsy in
Externí odkaz:
https://doaj.org/article/de9cd5afe7b04f19bf371897eafe2ffa
Publikováno v:
Acta Medica Iranica, Vol 46, Iss 6, Pp 501-506 (2008)
"nVarious scoring systems have been devised to aid diagnosis of acute appendicitis. The main objective of this study was finding the accuracy of modified Alvarado score in prediction of acute appendicitis. The registries of cases with appendectomy, w
Externí odkaz:
https://doaj.org/article/c0931fde559c4f9fb23540b3e7945b5b
Autor:
H. Peyvandi, R. Yegane
Publikováno v:
Bihdād, Vol 3, Iss 2, Pp 115-118 (2014)
Skin avulsions of male genitals are a rare traumatic plastic surgery and urologic emergency. This kind of trauma occur mainly because of accidents with industrial machines or agricultural machine belts. In this paper we reported two patients with tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a715d8c54369b7596082b3c81a3c254
http://aums.abzums.ac.ir/browse.php?a_code=A-10-1-82&slc_lang=en&sid=1
http://aums.abzums.ac.ir/browse.php?a_code=A-10-1-82&slc_lang=en&sid=1
Autor:
A. R. Ebrahimi, H. Peyvandi
Publikováno v:
ICT
Data communication over Voice-dedicated (DoV) channels of wireless telecommunication networks provides possibility of transmission of bit stream obtained from speech encoder over desired channels. On the other hand, compression techniques of wireless
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f31328251c9d2b193fe3053259d9a95d
https://doi.org/10.1109/ictel.2010.5478776
https://doi.org/10.1109/ictel.2010.5478776
Akademický článek
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Autor:
H. Peyvandi
Publikováno v:
OCEANS 2009-EUROPE.
In this paper, a new approach has been proposed for detection/ classification of SONAR signals based on Radial Basis Function Neural Network (RBFNN), which has been modified with a robust and reliable measure named: Hausdorff Similarity Measure (HSM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed26b52a7377e62b77af7249752495a0
https://doi.org/10.1109/oceanse.2009.5278146
https://doi.org/10.1109/oceanse.2009.5278146
Autor:
H. Peyvandi
Publikováno v:
WTS
In this paper, a novel approach for data transmission over voice channels (DoV) is presented. The usefulness of this approach stems from the fact that all wireless telecommunication networks have been basically designed to transfer speech and voice.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ee784429e898c689218a2b8ceed9ac9
https://doi.org/10.1109/wts.2009.5069002
https://doi.org/10.1109/wts.2009.5069002
Publikováno v:
Proceedings of 1998 International Symposium on Underwater Technology.
The main purpose of this paper is about detection and classification of underwater vehicles (UVs) using features extracted from their acoustic signals. We have proposed an algorithm for the above purpose based on hidden Markov model (HMM) with Hausdo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ddabeffdb2d9b0e0fe458a8319f0662
https://doi.org/10.1109/ut.1998.670104
https://doi.org/10.1109/ut.1998.670104