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Deniz Korkmaz
Deniz Korkmaz
Malatya Turgut Ozal University, Electrical and Electronics Engineering
Verified email at ozal.edu.tr
Title
Cited by
Cited by
Year
COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images
F Ucar, D Korkmaz
Medical hypotheses 140, 109761, 2020
8532020
An improved residual-based convolutional neural network for very short-term wind power forecasting
C Yildiz, H Acikgoz, D Korkmaz, U Budak
Energy Conversion and Management 228, 113731, 2021
2052021
SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting
D Korkmaz
Applied Energy 300, 117410, 2021
1082021
An efficient fault classification method in solar photovoltaic modules using transfer learning and multi-scale convolutional neural network
D Korkmaz, H Acikgoz
Engineering Applications of Artificial Intelligence 113, 104959, 2022
912022
CPG-based autonomous swimming control for multi-tasks of a biomimetic robotic fish
C Bal, G Ozmen Koca, D Korkmaz, ZH Akpolat, M Ay
Ocean Engineering 189, 106334, 2019
482019
Locomotion control of a biomimetic robotic fish based on closed loop sensory feedback CPG model
D Korkmaz, G Ozmen Koca, G Li, C Bal, M Ay, ZH Akpolat
Journal of Marine Engineering & Technology 20 (2), 125-137, 2021
432021
A Novel Short-Term Photovoltaic Power Forecasting Approach based on Deep Convolutional Neural Network
D Korkmaz, H Acikgoz, C Yildiz
International Journal of Green Energy 18 (5), 525-539, 2021
422021
Three-dimensional modeling of a robotic fish based on real carp locomotion
G Ozmen Koca, C Bal, D Korkmaz, MC Bingol, M Ay, ZH Akpolat, S Yetkin
Applied Sciences 8 (2), 180, 2018
402018
Mechatronic design and manufacturing of the intelligent robotic fish for bio-inspired swimming modes
M Ay, D Korkmaz, G Ozmen Koca, C Bal, ZH Akpolat, MC Bingol
Electronics 7 (7), 118, 2018
392018
WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network
H Acikgoz, U Budak, D Korkmaz, C Yildiz
Energy 233, 121121, 2021
382021
Implementations of the route planning scenarios for the autonomous robotic fish with the optimized propulsion mechanism
GO Koca, D Korkmaz, C Bal, ZH Akpolat, M Ay
Measurement 93, 232-242, 2016
262016
Modeling and implementation of a biomimetic robotic fish
D Korkmaz, U Budak, C Bal, GO Koca, ZH Akpolat
International Symposium on Power Electronics Power Electronics, Electrical …, 2012
212012
Extreme learning machine based robotic arm modeling
OF Alcin, F Ucar, D Korkmaz
2016 21st International Conference on Methods and Models in Automation and …, 2016
192016
Robust Forward Speed Control of a Robotic Fish
D Korkmaz, GO Koca, ZH Akpolat
6th International Advanced Technologies Symposium (IATS'11), 33-38, 2011
162011
Photovoltaic cell defect classification based on integration of residual-inception network and spatial pyramid pooling in electroluminescence images
H Acikgoz, D Korkmaz, U Budak
Expert Systems with Applications 229, 120546, 2023
152023
A novel ship classification network with cascade deep features for line-of-sight sea data
F Ucar, D Korkmaz
Machine Vision and Applications 32 (3), 73, 2021
152021
A study on the extreme learning machine based prediction of machining times of the cycloidal gears in CNC milling machines
T Gurgenc, F Ucar, D Korkmaz, C Ozel, Y Ortac
Production Engineering 13 (6), 635-647, 2019
142019
MSRConvNet: classification of railway track defects using multi-scale residual convolutional neural network
H Acikgoz, D Korkmaz
Engineering Applications of Artificial Intelligence 121, 105965, 2023
102023
Classification of Hotspots in Photovoltaic Modules with Deep Learning Methods
H AÇIKGÖZ, D KORKMAZ, Ç DANDIL
Turkish Journal of Science and Technology 17 (2), 211-221, 2022
102022
Link length optimization of a biomimetic robotic fish based on Big Bang—Big Crunch algorithm
C Bal, D Korkmaz, GO Koca, M Ay, ZH Akpolat
2016 21st International Conference on Methods and Models in Automation and …, 2016
92016
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