Suivre
Iman N Askerzade
Iman N Askerzade
Prof. Dr. Computer Eng. Dep. of Ankara University and Institute of Physics NAS Azerbaijan
Adresse e-mail validée de eng.ankara.edu.tr
Titre
Citée par
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Année
On the Ginzburg-Landau analysis of the upper critical field Hc2 in MgB2
İN Askerzade, A Gencer, N Güçlü
Superconductor science and technology 15 (2), L13, 2002
1682002
Unconventional superconductors: anisotropy and multiband effects
I Askerzade
Springer Science & Business Media, 2012
1002012
ANFIS based classification model for heart disease prediction
N Ziasabounchi, I Askerzade
International Journal of Electrical & Computer Sciences IJECS-IJENS 14 (02 …, 2014
852014
Two-band Ginzburg–Landau theory for the lower critical field Hc1 in MgB2
IN Askerzade, A Gencer, N Güçlü, A Kilic
Superconductor Science and Technology 15 (6), L17, 2002
682002
Modern aspects of Josephson dynamics and superconductivity electronics
I Askerzade, A Bozbey, M Cantürk
Springer, 2017
64*2017
Теория Гинзбурга-Ландау для двузонных сверхпроводников
ИН Аскерзаде
Успехи физических наук 176 (10), 1025, 2006
63*2006
Control the extension time of traffic light in single junction by using fuzzy logic
IN Askerzade, M Mahmood
International Journal of Electrical & Computer Sciences IJECS–IJENS 10 (2 …, 2010
612010
A novel action recognition framework based on deep-learning and genetic algorithms
AA Yilmaz, MS Guzel, E Bostanci, I Askerzade
IEEE Access 8, 100631-100644, 2020
542020
Ginzburg–Landau theory for two-band s-wave superconductors: application to non-magnetic borocarbides LuNi2B2C, YNi2B2C and magnesium diboride MgB2
IN Askerzade
Physica C: Superconductivity 397 (3-4), 99-111, 2003
412003
A vehicle detection approach using deep learning methodologies
AA Yilmaz, MS Guzel, I Askerbeyli, E Bostanci
arXiv preprint arXiv:1804.00429, 2018
392018
Anomaly based distributed denial of service attack detection and prevention with machine learning
U Dincalp, MS Güzel, O Sevine, E Bostanci, I Askerzade
2018 2nd International Symposium on Multidisciplinary Studies and Innovative …, 2018
362018
CNN-BiLSTM: A Hybrid Deep Learning Approach for Network Intrusion Detection System in Software Defined Networking with Hybrid Feature Selection.
RB Said, Z Sabir, I Askerzade
IEEE Access, 2023
332023
AN IMPLEMENTATION OF AUTOMATIC CONTOUR LINE EXTRACTION FROM SCANNED DIGITAL TOPOGRAPHIC MAPS
CV R. SAMET, I.N. ASKERZADE ASKERBEYLI
Appl. Comput. Math. 9 (1), 116-127, 2010
332010
London penetration depth λ (T) in two-band Ginzburg–Landau theory: application to MgB2
IN Askerzade, A Gencer
Solid state communications 123 (1-2), 63-67, 2002
332002
Using ResNet transfer deep learning methods in person identification according to physical actions
Ş Kiliç, I Askerzade, Y Kaya
IEEE Access 8, 220364-220373, 2020
312020
Numerical Study of–Characteristics of Externally Shunted Josephson Junctions With Unharmonic Current-Phase Relation
M Canturk, IN Askerzade
IEEE transactions on applied superconductivity 22 (6), 1400106-1400106, 2012
292012
Effects of anharmonicity of current-phase relation in Josephson junctions
IN Askerzade
Low Temperature Physics 41 (4), 241-259, 2015
282015
Study of layered superconductors in the framework of an electron–phonon coupling mechanism
IN Askerzade
Physics-Uspekhi 52 (10), 977, 2009
282009
Effect of the anharmonic phase dependence of the supercurrent on IV hysteresis in a Josephson junction
IN Askerzade
Technical Physics 48 (11), 1496-1498, 2003
28*2003
Thermodynamic Magnetic Field and Specific Heat Jump of a Bulk Superconductor MgB2 Using Two-Band Ginzburg–Landau Theory
IN Askerzade, A Gencer
Journal of the Physical Society of Japan 71 (7), 1637-1639, 2002
282002
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