Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Masoud Bakhshi"'
Publikováno v:
Journal of the Iranian Chemical Society. 16:1265-1272
Microcrystalline boron carbide was synthesized from boric acid and carbon black in the presence of a small amount of magnesium chloride by carbothermal reduction method at 1600 °C. The presence of magnesium chloride in the mixture has a determining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b205f7b045cb00d34cd2be4330175ce
https://doi.org/10.1007/s13738-019-01602-9
https://doi.org/10.1007/s13738-019-01602-9
Publikováno v:
Journal of the Iranian Chemical Society. 13:1673-1681
Several sample preparation methods were evaluated for determination of free carbon in boron carbide powders by quantitative X-ray diffraction method, including ultrasonication, wet ball milling and dry ball milling–wet mixing. Quantitation was base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::046090874c702ea97b7e3401c9c6d388
https://doi.org/10.1007/s13738-016-0884-0
https://doi.org/10.1007/s13738-016-0884-0
Autor:
Germi, Masoud Bakhshi1, Mirjavadi, Mohammad2, Namin, Aghil Seyed Sadeghi1, Baziar, Aliasghar1
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2014, Vol. 27 Issue 2, p913-920. 8p.
Publikováno v:
Complexity. 21:187-194
This article proposed a new hybrid algorithm for solving power flow tracing PFT through the comparison by other techniques. This proposed hybrid strategy in detail discuses over the achieved results. Both methods use the active and reactive power bal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b4cc24447f808f44088cf069c32e954
https://doi.org/10.1002/cplx.21555
https://doi.org/10.1002/cplx.21555
Publikováno v:
Complexity. 21:126-137
This article addresses a new modified honey bee mating optimization namely multiobjective honey bee mating optimization MOIHBMO based fuzzy multiobjective methodology for optimal locating and parameter setting of unified power flow controller UPFC in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b705e59821d66023080949178a74c42
https://doi.org/10.1002/cplx.21548
https://doi.org/10.1002/cplx.21548
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 27:913-920
According to the significance of power load demand forecasting, this paper suggests a new hybrid method to reach more accurate model with fast response. The proposed model consists of two algorithms: Self Adaptive Modified Bat Algorithm (SAMBA) and A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b62f6ef4c585ce747099359a85d52445
https://doi.org/10.3233/ifs-131049
https://doi.org/10.3233/ifs-131049
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