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MÜCELLA ÖZBAY KARAKUŞ
MÜCELLA ÖZBAY KARAKUŞ
YOZGAT BOZOK UNIVERSITY, ASSC. PROF. DR.
Verified email at yobu.edu.tr
Title
Cited by
Cited by
Year
Reaching stability at DSSCs with new type gel electrolytes
T Önen, MÖ Karakuş, R Coşkun, H Çetin
Journal of Photochemistry and Photobiology A: Chemistry 385, 112082, 2019
262019
Anionic and cationic polymer-based quasi-solid-state dye-sensitized solar cell with poly (aniline) counter electrode
MÖ Karakuş, ME Yakışıklıer, A Delibaş, E Ayyıldız, H Çetin
Solar Energy 195, 565-572, 2020
192020
Synthesis, characterization, electrochemical, spectroelectrochemical and dye-sensitized solar cell properties of phthalocyanines containing carboxylic acid anchoring groups as …
GK Karaoğlan, A Hışır, YE Maden, MÖ Karakuş, A Koca
Dyes and Pigments 204, 110390, 2022
132022
A comparative study on prediction of survival event of heart failure patients using machine learning algorithms
M Özbay Karakuş, O Er
Neural Computing and Applications 34 (16), 13895-13908, 2022
112022
Investigation of the temperature-dependent electrical properties of Au/PEDOT:WO3/p-Si hybrid device
M Keskin, A Akkaya, E Ayyıldız, A Uygun Öksüz, M Özbay Karakuş
Journal of Materials Science: Materials in Electronics 30, 16676-16686, 2019
112019
Dye ingredients and energy conversion efficiency at natural dye sensitized solar cells
MÖ Karakuş, İ Koca, O Er, H Çetin
Optical Materials 66, 552-558, 2017
112017
Learning of robot navigation tasks by probabilistic neural network
MÖ Karakuş, ER Orhan
Learning, 2013
92013
Application of a novel deep learning technique using CT images for COVID-19 diagnosis on embedded systems
H Ulutas, ME Sahin, MO Karakus
Alexandria Engineering Journal 74, 345-358, 2023
82023
A roadmap for hydrogel-based quasi-solid electrolyte preparation for use in dye-sensitized solar cell
MÖ Karakuş, ME Yakışıklıer, A Delibaş, H Çetin
Electrochimica Acta 427, 140841, 2022
52022
A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing
MÖ Karakuş
Artificial Intelligence Theory And Applications 1 (1), 69-75, 2021
32021
Görüntü İyileştirme ve Onarma Teknikleri
MÖ Karakuş
Yüksek Lisans Tezi, Elektrik-Elektronik Mühendisliği, Fırat Üniversitesi …, 2010
32010
LÖKOSİT TESPİTİ İÇİN BEYAZ KAN HÜCRELERİNİN ESA KULLANILARAK SINIFLANDIRILMASI
MÖ KARAKUŞ, E ÖZBAY
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi 9 (17), 333-344, 2022
22022
Impact of climatic factors on the prediction of hydroelectric power generation: a deep CNN-SVR approach
M Özbay Karakuş
Geocarto International 38 (1), 2253203, 2023
12023
In healthcare applications of machine learning algorithms for prediction of heart ATTACKS
T SESLİER, MÖ KARAKUŞ
Journal of Scientific Reports-A, 358-370, 2022
12022
Yeni türdeki jellerin boya duyarlı güneş pillerinde kullanılması
T Önen
Fen Bilimleri Enstitüsü, 2016
12016
Yield of the Hydroelectric Power Plant using Feed Forward and Recurrent Neural Networks: Hirfanlı Dam Application Example
MO Karakus, C Altın
Electronic Letters on Science and Engineering 10 (2), 1-14, 2014
12014
Sentetik Açıklıklı Odaklanma Tekniği ile Ultrasonik Konum Netleştirme Ultrasonic Location Clarification Using Synthetic Aperture Focusing Technique
C Altin, BM Serdar, MÖ Karakuş, O Er
Elektrik-Elektronik ve Bilgisayar Mühendisliği Sempozyumu, 2012
12012
Smart hydropower management: utilizing machine learning and deep learning method to enhance dam’s energy generation efficiency
MÖK Muhammet Emin Sahin
Neural Computing and Applications, 2024
2024
A Guide for Cross‐Linking Modulation: The Record Rectifying Ratio of Hydrogel‐Based Ultra Flexible Ionic Diodes
M ÖZBAY KARAKUŞ
Advanced Materials Interfaces 11 (2), 2300678, 2024
2024
Fabrication and Characterization of Polyaniline and Polyaniline/Nanostructured-ZnO FET Hydrogen Gas Sensors
MÖ KARAKUŞ, H ÇETİN
Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi 37 (1), 99-109, 2021
2021
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