Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Ercan Karaköse"'
Publikováno v:
Neural Computing and Applications. 35:12073-12087
One of the most important problems for farmers who produce large amounts of apples is the classification of the apples according to their types in a short time without handling them. Support vector machines (SVM) and deep residual networks (ResNet-50
Publikováno v:
European Journal of Science and Technology.
When obtaining an image of a scene, the lens focuses on objects at a certain distance, and objects at other distances are blurred. This is called the limited depth of field problem. An approach for solving this problem is multi-focus image fusion. A
Publikováno v:
European Journal of Science and Technology.
Gelişen teknoloji ile birlikte son dönemlerde sıkça duymaya başladığımız “Yapay Zekâ” ve “Derin Öğrenme” kavramlarının pek çok uygulama alanları mevcuttur. İnsan zekâsını taklit eden bu yöntemler çevresinden aldığı ve
Autor:
Mustafa Keskin, Ercan Karaköse
Publikováno v:
Applied Physics A. 127
Rapidly solidified hypereutectic Al-3Ni-3Sb were successfully prepared by the technique of melt-spinning at different solidification rates. The phases appear in the hypereutectic Al-3Ni-3Sb as-cast and rapidly solidified samples were revealed to be A
Autor:
Hakan Çolak, Ercan Karaköse
Publikováno v:
Materials Science in Semiconductor Processing. 101:230-237
Undoped and Lu3+ (in the range of 0–5 mol %) doped ZnO nanorods were investigated in this study. The obtained ZnO samples were analyzed crystallographically by the x-ray diffraction (XRD) method. From the XRD patterns, it was determined that each s
Autor:
Ercan Karaköse, Mustafa Keskin
The hypoeutectic Al-3Ni-3Si alloy was produced within the conventional solidification method and melt-spinning method at wheel speeds of 10, 20, and 30 m/s. We observed that as-cast and wheel speeds of 10, 20 alloy contains alpha-Al, Al3Ni, and Si ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e71abef7f7e4c36491907441a8fa0c0a
https://avesis.kayseri.edu.tr/publication/details/47eeb308-9481-47e5-bc0a-e24ac4a74f57/oai
https://avesis.kayseri.edu.tr/publication/details/47eeb308-9481-47e5-bc0a-e24ac4a74f57/oai
Autor:
Ercan Karaköse, Hakan Çolak
In this study, the impacts of doping concentration on the crystal structure, morphology, electrical, and optical properties of Ho3+-doped zinc oxide (ZnO) nanorod (NR) arrays were studied. Structural and morphological characterizations showed that th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c1d32dc19969bcf74ec9f1760e6f805
https://aperta.ulakbim.gov.tr/record/7705
https://aperta.ulakbim.gov.tr/record/7705
Autor:
Ercan Karaköse, Hakan Çolak
Publikováno v:
Materials Science in Semiconductor Processing. 139:106329
This study reports the production of Gd(III)-doped ZnO nanorods on the glass substrate via spin coating and hydrothermal routes, respectively, and investigation of CO2 gas sensing properties. It was determined that the response of the ZnO nanorods to
The effect of magnesium addition on the morphological, thermal, and mechanical features of conventionally and rapidly solidified Al-5.5 wt.%Zn-x wt.%Mg (x = 1, 5) samples were examined in this work. Al-5.5wt.%Zn-x wt.%Mg (x = 1, 5) samples were produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8e4e20bac1744a2d7fab1c60ec15290
https://avesis.kayseri.edu.tr/publication/details/3c78862f-e19a-42dd-9886-4b41230908eb/oai
https://avesis.kayseri.edu.tr/publication/details/3c78862f-e19a-42dd-9886-4b41230908eb/oai
One-dimensional (1D) zinc oxide (ZnO) nanomaterials (e.g. nanorods, nanowires) are the most important due to their electrical and optical properties. As the surface-to-volume ratio in ZnO nanorods (NRs) is very high, the surface states have a crucial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a92f822a5cbd070724de0481767e5f67
https://avesis.kayseri.edu.tr/publication/details/c7067074-3cc6-4416-b75f-d862ceb72a2f/oai
https://avesis.kayseri.edu.tr/publication/details/c7067074-3cc6-4416-b75f-d862ceb72a2f/oai