Zobrazeno 1 - 10
of 18
pro vyhledávání: '"M. R. Soleymani"'
Autor:
Behnaz Merikhi, M. R. Soleymani
Publikováno v:
IEEE Access, Vol 9, Pp 93703-93722 (2021)
Cluster analysis using metaheuristic algorithms has earned increasing popularity over recent years due to the great success of these algorithms in finding high-quality clusters in complex real-world problems. This paper proposes a novel framework for
Externí odkaz:
https://doaj.org/article/8b8ada48894d4d2ea4fd68f19aa58670
Publikováno v:
IEEE Access, Vol 7, Pp 9181-9190 (2019)
Implementing an efficient frequency reuse (FR) plan is significantly important to meet the demand on high data rates and the required quality of service for 5G. In this paper, we use the direction of arrival algorithms and the correlator to determine
Externí odkaz:
https://doaj.org/article/9eb089496dab4d109b31c2710a51d685
Publikováno v:
Tropical Animal Science Journal, Vol 44, Iss 1 (2021)
An experiment was conducted to evaluate the effects of amaranth grain in pellet diet on performance, intestinal morphology of jejunum, and selected blood variables of broilers. A total of 400 seven-day-old Ross 308 male broilers were allocated to 4 t
Externí odkaz:
https://doaj.org/article/eb745844d98c4fe7bc5ad01de5c11290
Publikováno v:
Tropical Animal Science Journal, Vol 44, Iss 1 (2021)
An experiment was conducted to evaluate the effects of amaranth grain in pellet diet on performance, intestinal morphology of jejunum, and selected blood variables of broilers. A total of 400 seven-day-old Ross 308 male broilers were allocated to 4 t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::089c3ca1e64753a86b4564812de664d9
https://doi.org/10.5398/tasj.2021.44.1.71
https://doi.org/10.5398/tasj.2021.44.1.71
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 10:2708-2713
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f07e17734b8e0fd3491b147d85016d9
https://doi.org/10.1166/jctn.2013.3270
https://doi.org/10.1166/jctn.2013.3270
Publikováno v:
Journal of Intelligent Manufacturing. 26:347-357
A Progressive die is used to transform flat strips of sheet metal into a formed part. This transformation is performed progressively by a series of stations that stamp the material into a desired shape. The progressive dies reduce the time and cost o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa8508fb38b033cdae446cdd4e83d3cb
https://doi.org/10.1007/s10845-013-0788-0
https://doi.org/10.1007/s10845-013-0788-0
Finite Volume Analysis and Neural Network Modeling of Wear During Hot Forging of a Steel Splined Hub
Publikováno v:
Arabian Journal for Science and Engineering. 37:821-829
Hot forging of a CK45 steel splined hub was simulated using the finite volume method. The work-piece and die are assumed to be thermo-viscoplastic and thermo-rigid body, respectively. The simulation model results were validated by comparison with die
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52f98c801d16e89ec321e4361ebdae29
https://doi.org/10.1007/s13369-012-0210-9
https://doi.org/10.1007/s13369-012-0210-9
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 225:2220-2227
Wire electrical discharge machining (WEDM) is a widely accepted non-traditional material removal process used to manufacture components with intricate shapes and profiles. The selection of optimum machining conditions for obtaining higher machining e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::789704c5c5055d397c5775a6aff8bf8e
https://doi.org/10.1177/0954405411412249
https://doi.org/10.1177/0954405411412249
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 225:1757-1771
This paper presents a new approach for modelling the thrust force in the drilling of PA6–nanoclay (NC) nanocomposite materials, by using a particle-swarm-optimization-based neural network (PSONN). In this regard, the advantages of the statistical e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b44cf14001e76605db98c8077183f6d
https://doi.org/10.1177/0954405411399018
https://doi.org/10.1177/0954405411399018
Autor:
Ali Khorram, M. R. Soleymani Yazdi
Publikováno v:
International Journal of Engineering and Technology. 2:474-480
Nowadays numerical and Artificial Neural Networks (ANN) methods are widely used for both modeling and optimizing the performance of the manufacturing technologies. Optimum machining parameters are of great concern in manufacturing environments, where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a12593bec53c3ad87e89cfc2e8724485
https://doi.org/10.7763/ijet.2010.v2.167
https://doi.org/10.7763/ijet.2010.v2.167