Narrowing the boundary region of the rough sets using neural networks

Topallı, İhsan


Probing the phases in the MSSM via e(+)e(-) -> hA
Demir, DA (Elsevier BV, 1999-10-21)
In the presence of the supersymmetric CP phases, e(+)e(-) --> Z* --> hA scattering is analyzed, with special emphasis on Z* hA vertex, taking into account radiatve corrections due to dominant top quark and top squark loops in the Higgs sector as well as the vertex formfactors. It is found that the lightest Higgs remains essentially CP-even whereas the heavier ones mix with each other strongly. Moreover, the supersymmetric CP phases are found to create tree-level couplings between a pseudoscalar and identica...
Reducing the Electrical Size of Magnetic Metamaterial Resonators by Geometrical Modifications: A Comparative Study for Single-Sided and Double-Sided Multiple SRR, Spiral and U-Spiral Resonators
Ekmekci, Evren; Sayan, Gönül (2008-07-11)
Probing the sources of CP violation via B -> K*l(+)l(-) decay
Alıyev, Tahmasıb; Savcı, Mustafa (2000-10-01)
B-->K*l(-)I(+) (l=mu, tau) is analyzed in a minimally extended standard model in which the Wilson coefficients have new CP-odd phases. The sensitivity of the CP asymmetry and lepton polarization asymmetries to the new phases is discussed. It is found that the CP asymmetry is sensitive to the new phase in the Wilson coefficient C-7 whereas the normal lepton polarization asymmetry is sensitive to the phase in the Wilson coefficient C-10. Additionally, the correlation between the CP and normal lepton polarizat...
Expanding the Chemical Space of Carbon-Rich Opto-Electronic Materials by Click-Type Reactions
Dengiz, Çağatay (2021-10-14)
Removing Grating Lobes in Sparse Sensor Arrays with a Nonlinear Approach
Epcacan, Erdal; Çiloğlu, Tolga; Candan, Çağatay; Mehmetcik, Erdal (2015-05-19)
Two of the most important criteria for a sensor array beam-pattern are beamwidth and side-lobe level. A narrower beamwidth means a better angular resolution and well separation of close sources. The beamwidth of a sensor array is directly proportional to array aperture, the beamwidth gets narrower as array aperture increases. However, increase in array aperture means increase in number of used sensors due to Nyquist spatial rate and this means increase in cost and computational load. Therefore, sparse array...
Citation Formats
İ. Topallı, “Narrowing the boundary region of the rough sets using neural networks,” Middle East Technical University, 1999.