D
Deniz Korkmaz
Researcher at Turgut Özal University
Publications - 34
Citations - 886
Deniz Korkmaz is an academic researcher from Turgut Özal University. The author has contributed to research in topics: Computer science & Convolutional neural network. The author has an hindex of 8, co-authored 26 publications receiving 406 citations. Previous affiliations of Deniz Korkmaz include Fırat University.
Papers
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Journal ArticleDOI
COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images.
Ferhat Ucar,Deniz Korkmaz +1 more
TL;DR: This study demonstrates an AI-based structure to outperform the existing studies and shows how fine-tuned hyperparameters and augmented dataset make the proposed network perform much better than existing network designs and to obtain a higher COVID-19 diagnosis accuracy.
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An improved residual-based convolutional neural network for very short-term wind power forecasting
TL;DR: The proposed method outperformed the state-of-the-art deep learning architectures and demonstrated promising results for very short-term wind power forecasting due to its competitive performance.
Journal ArticleDOI
SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting
TL;DR: A novel convolutional neural network model, namely SolarNet, is proposed for short-term PV output power forecasting under different weather conditions and seasons and outperforms the other deep learning methods.
Journal ArticleDOI
CPG-based autonomous swimming control for multi-tasks of a biomimetic robotic fish
TL;DR: It is observed that autonomous swimming performance is excellent and yaw control is quite good even in the presence of obstacles, and it is proved that the escape performance of the robot is very fast.
Journal ArticleDOI
Three-Dimensional Modeling of a Robotic Fish Based on Real Carp Locomotion
Gonca Ozmen Koca,Cafer Bal,Deniz Korkmaz,Mustafa Can Bingol,Mustafa Ay,Zuhtu Hakan Akpolat,Seda Yetkin +6 more
TL;DR: In this paper, the authors developed a complete non-linear dynamic model comprising entirely kinematic and hydrodynamic effects of Carangiform locomotion based on the Lagrange approach by adapting the parameters and behaviors of a real carp.