Improving classification performance of sonar targets by applying general regression neural network with PCA B Erkmen, T Yıldırım Expert Systems with Applications 35 (1-2), 472-475, 2008 | 96 | 2008 |
A very low-profile dual output LLC resonant converter for LCD/LED TV applications I Demirel, B Erkmen IEEE Transactions on Power Electronics 29 (7), 3514-3524, 2013 | 80 | 2013 |
Conic section function neural network circuitry for offline signature recognition B Erkmen, N Kahraman, RA Vural, T Yildirim IEEE transactions on neural networks 21 (4), 667-672, 2010 | 44 | 2010 |
CMOS differential amplifier area optimization with evolutionary algorithms RA Vural, B Erkmen, U Bozkurt, T Yildirim Proceedings of the World Congress on Engineering and Computer Science 2, 2013 | 23 | 2013 |
FPGA-based Wigner–Hough transform system for detection and parameter extraction of LPI radar LFMCW signals KK Guner, TO Gulum, B Erkmen IEEE Transactions on Instrumentation and Measurement 70, 1-15, 2021 | 22 | 2021 |
Process independent automated sizing methodology for current steering DAC RA Vural, N Kahraman, B Erkmen, T Yildirim International Journal of Electronics 102 (10), 1713-1734, 2015 | 16 | 2015 |
Design of gain-scheduling PID controllers for Z-source inverter using iterative reduction-based heuristic algorithms AR Yılmaz, B Erol, A Delibaşı, B Erkmen Simulation Modelling Practice and Theory 94, 162-176, 2019 | 15 | 2019 |
FPGA-based space vector PWM and closed loop controllers design for the Z source inverter AR Yilmaz, B Erkmen IEEE Access 7, 130865-130873, 2019 | 13 | 2019 |
Smart phone application for drowsiness detection during driving B Guksa, B Erkmen 2017 2nd International Conference on Frontiers of Sensors Technologies …, 2017 | 13 | 2017 |
Implementation aspects of Wigner-Hough Transform based detectors for LFMCW signals KK Guner, B Erkmen, TO Gulum, AY Erdogan, T Yıldırım, LD Ata 2016 39th International Conference on Telecommunications and Signal …, 2016 | 12 | 2016 |
A mixed mode neural network circuitry for object recognition application B Erkmen, RA Vural, N Kahraman, T Yildirim Circuits, Systems, and Signal Processing 32, 29-46, 2013 | 12 | 2013 |
Face recognition, NFC and voice controlled door lock system K Adalan, B Erkmen 2016 national conference on electrical, electronics and biomedical …, 2016 | 10 | 2016 |
Training multilayer perceptron using differential evolution algorithm for signature recognition application AR Yılmaz, O Yavuz, B Erkmen 2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013 | 9 | 2013 |
CSFNN optimization of signature recognition problem for a special VLSI NN chip B Erkmen, N Kahraman, RA Vural, T Yildirim 2008 3rd International Symposium on Communications, Control and Signal …, 2008 | 9 | 2008 |
Genel amaçlı bir yapay sinir ağının karma bir donanımla gerçeklenmesi B Erkmen Doktora Tezi, Yıldız Teknik Fen Bilimleri Enstitüsü, İstanbul, 2007 | 6 | 2007 |
Improving Wigner-Hough Transform for hardware implementation to intercept LFMCW signals KK Guner, B Erkmen, TO Gulum, AY Erdogan, T Yildirim, LD Ata 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 5 | 2015 |
Obtaining decision boundaries of CSFNN neurons using current mode analog circuitry B Erkmen, T Yildirim 2007 18th European Conference on Circuit Theory and Design, 807-810, 2007 | 5 | 2007 |
Statistical neural network based classifiers for letter recognition B Erkmen, T Yildirim Intelligent Computing in Signal Processing and Pattern Recognition …, 2006 | 4 | 2006 |
Conic section function neural networks for sonar target classification and performance evaluation using ROC analysis B Erkmen, T Yildirim Lecture notes in control and information sciences 345, 779, 2006 | 4 | 2006 |
Robust tuning of pid controller using differential evolution algorithm based on fpga O Yalçin, A Canli, AR Yilmaz, B Erkmen 2022 9th International Conference on Electrical and Electronics Engineering …, 2022 | 3 | 2022 |