Zobrazeno 1 - 10 of 65 pro vyhledávání: '"Noğay, Hıdır Selçuk"'
1
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
2
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
3
DETERMINATION OF WINDING TYPE ACCORDING TO LEAKAGES IN MONOPHASE VOLTAGE TRANSFORMERS WITH SUPPORT VECTOR MACHINES
Autor: Noğay, Hıdır Selçuk
Transformers can be designed and manufactured in different powers andsizes. The physical dimensions of transformers change with their power.Transformers may need to be designed in different winding types when theirpower changes. During the design, th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10012::cf8ad49786803b364dae516ef430015c
https://avesis.kayseri.edu.tr/publication/details/e689b4b3-bb0e-4e04-b51c-60340303b2c8/oai
Zobrazit plný text záznamu
4
CLASSIFICATION OF GROOVE SHAPE IN ROTARY ELECTRIC MACHINES WITH CONVOLUTIONAL NEURAL NETWORK
Autor: Noğay, Hıdır Selçuk
Deciding on the groove shape is an important step in the design processof rotating electrical machines. Since the rotary electric machines aredesigned with the help of package programs, the groove shape is automaticallyselected. However, groove leaka
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10012::8fd8ae95f3b0c08c605b284a5f0ccc4b
https://avesis.kayseri.edu.tr/publication/details/a4f19940-1ca4-4c0d-baac-162215045b76/oai
Zobrazit plný text záznamu
5
SUPPORT VECTOR MACHINES FOR STATOR GROOVE SHAPE DETECTION IN ROTARY ELECTRIC MACHINES
Autor: Noğay, Hıdır Selçuk
Electrical machines are magnetic and electromechanical systems that workentirely with magnetism. Losses due to magnetism in rotating electricalmachines affect the working performance. The most difficult to intervene andthe most neglected magnetic lea
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10012::5d085ea3f564ee7e28de78bd7c93e704
https://avesis.kayseri.edu.tr/publication/details/9fad75e4-9137-476e-8c53-7917c1a10155/oai
Zobrazit plný text záznamu
6
MACHINE LEARNING IMPLEMENTATIONS FOR LEAKAGES IN MONOPHASE TRANSFORMERS WITH TWO LAYERED CYLINDRICAL COIL FORM
Autor: Noğay, Hıdır Selçuk
Small and medium power monophase transformers usually have cylindricaland two layered form. Therefore, two-layer and cylindrical winding transformersare widely used in the energy sector in industry. The transformer has amagnetic circuit and losses du
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10012::744449d8a0102cefa658e6c89a6cf358
https://avesis.kayseri.edu.tr/publication/details/b2cfe140-9268-4a44-bef9-04930b3dc27e/oai
Zobrazit plný text záznamu
7
SPECIES DETECTION OF ROTARY ELECTRIC MACHINES WITH DEEP LEARNING FROM APPEARANCES
Autor: Noğay, Hıdır Selçuk
Rotary electric machines are widely used in industry, energy production,renewable energy sources and factories, mainly alternating current (AC)machines and direct current (DC) machines. Therefore, any scientific study thatcan be done on rotating elec
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10012::914bf324171cf012f88843cf9ab32907
https://avesis.kayseri.edu.tr/publication/details/59dec21c-5e75-49d7-9b77-6bb3b61a9aed/oai
Zobrazit plný text záznamu
8
A DEEP CONVOLUTIONAL NEURAL NETWORK APPLICATION FOR COVID-19 DIAGNOSIS FROM X-RAY IMAGES
Autor: Noğay, Hıdır Selçuk
The COVID-19 epidemic still continues to be on the world agenda, and the number of cases and deaths from this disease continue to increase. Studies on the subject that can help both diagnosis and treatment are constantly increasing and the epidemic i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10012::c994c295671dcbca7118a60c3c73f0f3
https://avesis.kayseri.edu.tr/publication/details/adac5549-52c5-40e0-9c94-3984dcb66570/oai
Zobrazit plný text záznamu
9
AUTISM DIAGNOSIS WITH DEEP LEARNING MODEL TRAINED WITH FACE IMAGES
Autor: Noğay, Hıdır Selçuk
Autism spectrum disorders (ASD) are among the diseases of our age that cannot be treated, have a long diagnosis period, and have a high rate of disadvantage. Its incidence is estimated to be increasing gradually. Definitive and rapid diagnosis of aut
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10012::b41b04538675e77fb9b540800c128f22
https://avesis.kayseri.edu.tr/publication/details/28a3181f-6df5-46fe-8a57-31828ea14ad5/oai
Zobrazit plný text záznamu
10
Forecasting of voltage disturbances at the beginning of ferroresonance phenomena in power systems using by a new approach of long-short term memory (LSTM): LSTM for Ferroresonance in power systems
Autor: Noğay, Hıdır Selçuk
Ferroresonance is an unexpected, continuous, andundesirable event that causes excessive growth and distortion in the voltageand current waveform, whose cause is unknown and suddenly develops in powersystems. To take precautions against the ferroreson
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_____10012::c9563ed68a61c3d846d5d903ac159633
https://avesis.kayseri.edu.tr/publication/details/757b1275-c993-4ddd-afab-4afdcf0a921b/oai
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje