Zobrazeno 1 - 10
of 38
pro vyhledávání: '"SOLOMONESC, A."'
Autor:
Adorian Solomonesc, Ion Chisăliţă, Maria Mihaela Moatăr, Carolina Ştefan, Sorin Mihai Stanciu, Auruța Dȃrlea
Publikováno v:
Scientific Papers Animal Science and Biotechnologies, Vol 45, Iss 1, Pp 93-93 (2023)
Hunting fund no.20 Higeg is a fund with a large surface area and its species of concern, especially bears and chamois. To ensure their coexistence conditions and breeding are absolutely necessary studies of relevance game in the winter-spring food ca
Externí odkaz:
https://doaj.org/article/0bc05cd30c9a491a9a1d7da3c998e542
Autor:
Adorian Solomonesc, Ion Chisăliţă, Maria Mihaela Moatăr, Carolina Ştefan, Sorin Mihai Stanciu, Auruța Dȃrlea
Publikováno v:
Scientific Papers Animal Science and Biotechnologies, Vol 45, Iss 1, Pp 90-90 (2023)
This paper presents the calculation of complementary food needs for animal species, which live in the hunting fund no.61 Crocna-Zimbru. This calculation is absolutely necessary to be predetermined and properly distributed, so that in winter, the anim
Externí odkaz:
https://doaj.org/article/d6e7bf9eda7f466398a11026afb3dc97
Autor:
SOLOMONESC, A.1, CHISĂLITA, I.2, MOATĂR, MARIA M.2 mihaelamoatar@yahoo.com, ŞTEFAN, CAROLINA2, STANCIU, S.3, BANU, C.2
Publikováno v:
Agricultural Management / Lucrari Stiintifice Seria I, Management Agricol. 2012, Vol. 14 Issue 1, p395-398. 4p. 1 Color Photograph.
Autor:
SOLOMONESC, A.1, CHISĂLITĂ, I.2, MOATĂR, MARIA M.2 mihaelamoatar@yahoo.com, ŞTEFAN, CAROLINA2, STANCIU, S.3, BANU, C.2
Publikováno v:
Agricultural Management / Lucrari Stiintifice Seria I, Management Agricol. 2012, Vol. 14 Issue 1, p389-394. 6p. 1 Color Photograph.
Autor:
Adorian Solomonesc, Ion Chisăliţă, Maria Mihaela Moatăr, Carolina Ştefan, Sorin Mihai Stanciu, Auruța Dȃrlea
Publikováno v:
Scientific Papers Animal Science and Biotechnologies, Vol 45, Iss 1, Pp 90-92 (2012)
This paper presents the calculation of complementary food needs for animal species, which live in the hunting fund no.61 Crocna-Zimbru. This calculation is absolutely necessary to be predetermined and properly distributed, so that in winter, the anim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::31dd830f6056140921ef8afaa495757b
http://spasb.ro/index.php/spasb/article/view/20
http://spasb.ro/index.php/spasb/article/view/20
Autor:
Solomonesc, Adorian1 a.solomonesc@yahoo.com, Chisăliţă, Ion2, Moatăr, Maria Mihaela2, Ştefan, Carolina2, Stanciu, Sorin Mihai2, Dâ rlea, Auruţa2
Publikováno v:
Scientific Papers: Animal Science & Biotechnologies / Lucrari Stiintifice: Zootehnie si Biotehnologii. Jan2012, Vol. 45 Issue 1, p93-95. 3p.
Autor:
Solomonesc, Adorian1 a.solomonesc@yahoo.com, Chisăliţă, Ion2, Moatăr, Maria Mihaela2, Ştefan, Carolina2, Stanciu, Sorin Mihai2, Dârlea, Auruţa2
Publikováno v:
Scientific Papers: Animal Science & Biotechnologies / Lucrari Stiintifice: Zootehnie si Biotehnologii. Jan2012, Vol. 45 Issue 1, p90-92. 3p.
Publikováno v:
2013 48th International Universities' Power Engineering Conference (UPEC).
Nowadays the artificial intelligence based methods applied in power systems are getting more and more field. The paper is focusing on genetic algorithms used for optimal power flow computing (OPF). It is a very important issue for power systems analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::576b29fdc6b8ff3ed2ebfde180673457
https://doi.org/10.1109/upec.2013.6714929
https://doi.org/10.1109/upec.2013.6714929
Publikováno v:
SACI
The paper is focusing on transmission network expansion planning (TNEP) problem solved using artificial intelligence techniques. It is divided into two parts. The 1st part is dedicated to the particle swarm optimization (PSO) and genetic algorithm (G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5efc529123ac2f00884d6a612dfd9d1b
https://doi.org/10.1109/saci.2013.6609006
https://doi.org/10.1109/saci.2013.6609006
Autor:
Petru Dan Cristian, Constantin Barbulescu, Stefan Kilyeni, Razvan Teslovan, Florin Solomonesc
Publikováno v:
2012 47th International Universities Power Engineering Conference (UPEC).
There is a growing interest in finding new ways to solve power systems related problems. Heuristic search methods are considered a good alternative to conventional ones. The present work focuses on genetic algorithms (GA). A GA adapted for power flow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dd968a548c5bc96e95341709a056ae6
https://doi.org/10.1109/upec.2012.6398608
https://doi.org/10.1109/upec.2012.6398608