| 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 | 30 | 2019 |
| 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 | 19 | 2020 |
| 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 | 14 | 2022 |
| 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 | 12 | 2022 |
| 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 | 12 | 2019 |
| 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 | 12 | 2017 |
| Learning of robot navigation tasks by probabilistic neural network MÖ Karakuş, ER Orhan Learning, 2013 | 11 | 2013 |
| 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 | 10 | 2023 |
| 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 | 6 | 2022 |
| 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 | 5 | 2024 |
| 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 | 4 | 2023 |
| 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 | 3 | 2021 |
| Görüntü iyileştirme ve onarma teknikleri MÖ Karakuş Yüksek Lisans Tezi, Elektrik-Elektronik Mühendisliği, Fırat Üniversitesi …, 2010 | 3 | 2010 |
| In healthcare applications of machine learning algorithms for prediction of heart ATTACKS T Seslier, MÖ Karakuş Journal of Scientific Reports-A, 358-370, 2022 | 2 | 2022 |
| LÖKOSİT TESPİTİ İÇİN BEYAZ KAN HÜCRELERİNİN ESA KULLANILARAK SINIFLANDIRILMASI MÖ Karakuş, E Özbay Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi 9 (17), 333-344, 2022 | 2 | 2022 |
| Yeni türdeki jellerin boya duyarlı güneş pillerinde kullanılması T Önen Fen Bilimleri Enstitüsü, 2016 | 1 | 2016 |
| 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 | 1 | 2014 |
| 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 | 1 | 2012 |
| An Innovative Hybrid Deep Learning Approach for Enhanced Electrical Power Prediction Using Meteorological Data: GGWO-IEMD/SCPDAE-LSTM-SDPAM/RS Model M Özbay Karakuş, ME Şahin, H Ulutaş Arabian Journal for Science and Engineering, 1-24, 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 |
Hidayet ÇetinFizik Bölümü, Bozok Üniversitesi在 bozok.edu.tr 的电子邮件经过验证
