Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines F Kaytez, MC Taplamacioglu, E Cam, F Hardalac International Journal of Electrical Power & Energy Systems 67, 431-438, 2015 | 584 | 2015 |
Fracture detection in wrist X-ray images using deep learning-based object detection models F Hardalaç, F Uysal, O Peker, M Çiçeklidağ, T Tolunay, N Tokgöz, ... Sensors 22 (3), 1285, 2022 | 86 | 2022 |
Neonatal jaundice detection system M Aydın, F Hardalaç, B Ural, S Karap Journal of medical systems 40, 1-11, 2016 | 82 | 2016 |
A new approach to optic disc detection in human retinal images using the firefly algorithm J Rahebi, F Hardalaç Medical & biological engineering & computing 54, 453-461, 2016 | 73 | 2016 |
Retinal blood vessel segmentation with neural network by using gray-level co-occurrence matrix-based features J Rahebi, F Hardalaç Journal of medical systems 38, 1-12, 2014 | 68 | 2014 |
Determination of aorta failure with the application of FFT, AR and wavelet methods to Doppler technique İ Güler, F Hardalaç, S Müldür Computers in biology and medicine 31 (4), 229-238, 2001 | 61 | 2001 |
Classification of carotid artery stenosis of patients with diabetes by neural network and logistic regression U Ergün, S Serhatlıoǧlu, F Hardalaç, İ Güler Computers in biology and medicine 34 (5), 389-405, 2004 | 54 | 2004 |
Classification of shoulder x-ray images with deep learning ensemble models F Uysal, F Hardalaç, O Peker, T Tolunay, N Tokgöz Applied Sciences 11 (6), 2723, 2021 | 52 | 2021 |
Propagation of modified Bessel-Gaussian beams in turbulence HT Eyyuboğlu, F Hardalaç Optics & Laser Technology 40 (2), 343-351, 2008 | 51 | 2008 |
Application of FFT analyzed cardiac Doppler signals to fuzzy algorithm İ Güler, F Hardalaç, N Barışçı Computers in biology and medicine 32 (6), 435-444, 2002 | 43 | 2002 |
Comparison of neuro-fuzzy systems for classification of transcranial Doppler signals with their chaotic invariant measures A Ozturk, A Arslan, F Hardalac Expert Systems with Applications 34 (2), 1044-1055, 2008 | 42 | 2008 |
Classification of transcranial Doppler signals using artificial neural network S Serhatlioglu, F Hardalaç, İ Güler Journal of Medical Systems 27, 205-214, 2003 | 41 | 2003 |
Determination of Behcet disease with the application of FFT and AR methods İ Güler, F Hardalaç, ED Übeylı Computers in Biology and Medicine 32 (6), 419-434, 2002 | 35 | 2002 |
Automatic music genre classification and its relation with music education. HC Ceylan, N Hardalaç, AC Kara, H Firat World Journal of Education 11 (2), 36-45, 2021 | 31 | 2021 |
Yapay zekâ teknikleri ve radyolojiye uygulanması S Serhatlıoğlu, F Hardalaç Fırat Tıp Dergisi 14 (1), 1-6, 2009 | 29 | 2009 |
Comparison of FFT and adaptive ARMA methods in transcranial Doppler signals recorded from the cerebral vessels I Güler, F Hardalaç, M Kaymaz Computers in biology and medicine 32 (6), 445-453, 2002 | 26 | 2002 |
Classification of the frequency of carotid artery stenosis with MLP and RBF neural networks in patients with coroner artery disease H Yýldýrým, HB Altýnsoy, N Barýpçý, U Ergün, E Oğur, F Hardalaç, İ Güler Journal of medical systems 28, 591-601, 2004 | 25 | 2004 |
Classification of educational backgrounds of students using musical intelligence and perception with the help of genetic neural networks F Hardalaç Expert systems with applications 36 (3), 6708-6713, 2009 | 24 | 2009 |
Classification of retinal diseases in optical coherence tomography images using artificial intelligence and firefly algorithm MB Özdaş, F Uysal, F Hardalaç Diagnostics 13 (3), 433, 2023 | 23 | 2023 |
A novel comparative study using multi-resolution transforms and convolutional neural network (CNN) for contactless palm print verification and identification F Hardalac, H Yaşar, A Akyel, U Kutbay Multimedia Tools and Applications 79, 22929-22963, 2020 | 23 | 2020 |