Yayınlar & Eserler

Yayın Ağı
Makaleler 24
Tümü (24)
SCI-E, SSCI, AHCI (21)
SCI-E, SSCI, AHCI, ESCI (21)
Scopus (21)
TRDizin (2)
Diğer Yayınlar (1)

1. A Further Stability Analysis of Neutral Systems with Multiple Time-Varying Delays

FAYDASIÇOK Ö., ÖZCAN SEMERCİ N.
IEEE Access , cilt.13, ss.109160-109171, 2025 (SCI-Expanded) identifier

2. The combined Lyapunov functionals method for stability analysis of neutral Cohen–Grossberg neural networks with multiple delays

FAYDASIÇOK Ö., ARIK S.
Neural Networks , cilt.180, 2024 (SCI-Expanded) identifier

3. Sampled-data control for Markovian switching neural networks with output quantization and packet dropouts

Chen Y., Zhang X., Yan Z., FAYDASIÇOK Ö., ARIK S.
Journal of the Franklin Institute , cilt.361, sa.18, 2024 (SCI-Expanded) identifier

4. Robust stability of dynamical neural networks with multiple time delays: a review and new results

Aktas E., FAYDASIÇOK Ö., ARIK S.
Artificial Intelligence Review , cilt.56, ss.1647-1684, 2023 (SCI-Expanded, Scopus) identifier identifier

5. A general framework for robust stability analysis of neural networks with discrete time delays

Solak M., FAYDASIÇOK Ö., ARIK S.
Neural Networks , cilt.162, ss.186-198, 2023 (SCI-Expanded, Scopus) identifier identifier

6. A novel Lyapunov stability analysis of neutral-type Cohen-Grossberg neural networks with multiple delays

FAYDASIÇOK Ö., ARIK S.
NEURAL NETWORKS , cilt.155, ss.330-339, 2022 (SCI-Expanded, Scopus) identifier identifier identifier

7. NOVEL CRITERIA FOR ROBUST STABILITY OF COHEN-GROSSBERG NEURAL NETWORKS WITH MULTIPLE TIME DELAYS

ARIK S., FAYDASIÇOK Ö., ARIK S.
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S , cilt.15, sa.11, ss.3189-3203, 2022 (SCI-Expanded, Scopus) identifier identifier

8. ESTIMATION OF COSMIC RADIATION DOSE RECEIVED ON FLIGHT BY MEANS OF DIFFERENT MACHINE LEARNING METHODS AND CARI-7A CALCULATIONS

YILMAZ ALAN H., YILMAZ ALAN H., FAYDASIÇOK Ö., Susam L., ŞAMLI R., AKKUŞ B., et al.
Romanian Journal of Physics , cilt.67, sa.1-2, 2022 (SCI-Expanded) Sürdürülebilir Kalkınma identifier

9. DEEP NEURAL NETWORKS AS A TOOL TO ESTIMATION OF COSMIC RADIATION DOSE RECEIVED ON FLIGHT

YILMAZ A., YILMAZ ALAN H., FAYDASIÇOK Ö., Susam L., Samli R., AKKUŞ B., et al.
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN-SERIES A-APPLIED MATHEMATICS AND PHYSICS , cilt.84, sa.2, ss.187-202, 2022 (SCI-Expanded, Scopus) identifier identifier

10. FURTHER STABILITY ANALYSIS OF NEUTRAL-TYPE COHEN-GROSSBERG NEURAL NETWORKS WITH MULTIPLE DELAYS

FAYDASIÇOK Ö.
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S , cilt.14, sa.4, ss.1245-1258, 2021 (SCI-Expanded, Scopus) Creative Commons License identifier identifier

11. An improved Lyapunov functional with application to stability of Cohen-Grossberg neural networks of neutral-type with multiple delays

FAYDASIÇOK Ö.
NEURAL NETWORKS , cilt.132, ss.532-539, 2020 (SCI-Expanded, Scopus) identifier identifier identifier

12. Cosmic radiation exposure calculations for international and domestic flights departs from Istanbul and Ankara

Susam L., Alan H. Y., Yilmaz A., Erol A., Inci C. I., Akinci F. Ç., et al.
Radiation Protection Dosimetry , cilt.192, sa.1, ss.61-68, 2020 (SCI-Expanded, Scopus) identifier identifier identifier

13. A new Lyapunov functional for stability analysis of neutral-type Hopfield neural networks with multiple delays

FAYDASIÇOK Ö.
NEURAL NETWORKS , cilt.129, ss.288-297, 2020 (SCI-Expanded, Scopus) identifier identifier identifier

14. A NEW CRITERION FOR STABILITY OF NEUTRAL-TYPE HOPFIELD NEURAL NETWORKS WITH CONSTANT DELAYS

Faydasıçok Ö.
Uludağ Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi , cilt.25, sa.2, ss.639-650, 2020 (Hakemli Dergi)

15. New Results on Stability of Delayed Cohen-Grossberg Neural Networks of Neutral Type

FAYDASIÇOK Ö.
COMPLEXITY , cilt.2020, 2020 (SCI-Expanded, Scopus) identifier identifier

16. Stability Analysis of Neutral-Type Hopfield Neural Networks with Discrete Delays

Faydasıçok Ö.
Avrupa Bilim ve Teknoloji Dergisi , cilt.2020, sa.19, ss.515-523, 2020 (Hakemli Dergi)

17. New criteria for global stability of neutral-type Cohen-Grossberg neural networks with multiple delays

FAYDASIÇOK Ö.
NEURAL NETWORKS , cilt.125, ss.330-337, 2020 (SCI-Expanded, Scopus) identifier identifier identifier

18. An analysis of stability of uncertain neural networks with multiple time delays

Faydasicok O., Arik S.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS , cilt.350, sa.7, ss.1808-1826, 2013 (SCI-Expanded, Scopus) identifier identifier

19. A new upper bound for the norm of interval matrices with application to robust stability analysis of delayed neural networks

Faydasicok O., Arik S.
NEURAL NETWORKS , cilt.44, ss.64-71, 2013 (SCI-Expanded, Scopus) identifier identifier identifier

20. A new robust stability criterion for dynamical neural networks with multiple time delays

Faydasicok O., Arik S.
NEUROCOMPUTING , cilt.99, ss.290-297, 2013 (SCI-Expanded, Scopus) identifier identifier

21. Robust stability analysis of a class of neural networks with discrete time delays

Faydasicok O., Arik S.
NEURAL NETWORKS , ss.52-59, 2012 (SCI-Expanded, Scopus) identifier identifier identifier

22. Further analysis of global robust stability of neural networks with multiple time delays

Faydasicok O., Arik S.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS , cilt.349, sa.3, ss.813-825, 2012 (SCI-Expanded, Scopus) identifier identifier

23. An Analysis of Global Stability of a Class of Neutral-Type Neural Systems with Time Delays

FAYDASIÇOK Ö., arık s.
International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering , cilt.6, ss.391-395, 2012 (Hakemli Dergi)

24. Equilibrium and stability analysis of delayed neural networks under parameter uncertainties

Faydasicok O., Arik S.
APPLIED MATHEMATICS AND COMPUTATION , cilt.218, sa.12, ss.6716-6726, 2012 (SCI-Expanded, Scopus) identifier identifier
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 11

1. A New Lyapunov Stability Analysis of Neutral Systems with Multiple Delays

FAYDASIÇOK Ö., ARIK S.
2024 International Conference on Control, Automation and Diagnosis, ICCAD 2024, Paris, Fransa, 15 - 17 Mayıs 2024, (Tam Metin Bildiri) identifier

2. An Analysis of Stability of Multiple Delayed Cohen-Grossberg Neural Networks of Neutral Type

Faydasıçok Ö., Arık S.
7th International Conference on Mathematics and Computers in Sciences and Industry, Athens, Yunanistan, 22 - 24 Ağustos 2022, ss.1-5, (Tam Metin Bildiri)

3. Stability Analysis of Neutral-Type Hopfield Neural Networks with Multiple Delays

Faydasıçok Ö.
21st Conference on Engineering Applications of Neural Networks, Halkida, Yunanistan, 5 - 07 Haziran 2020, ss.558-568, (Tam Metin Bildiri)

4. A Novel Condition for Stability of Cohen-Grossberg Neural Networks of Neutral-Type with Discrete Delays

FAYDASIÇOK Ö.
2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020, İstanbul, Türkiye, 12 - 13 Haziran 2020, (Tam Metin Bildiri) identifier

5. A new robust stability result for delayed neural networks

Faydasıçok Ö., Çiçek C., Arık S.
25. International Conference on Neural Information Processing, ICONIP 2018,, Siem-Reab, Kamboçya, 12 - 16 Aralık 2018, ss.343-352, (Tam Metin Bildiri)

6. A novel criterion for global asymptotic stability of neutral-type neural networks with discrete time delays

FAYDASIÇOK Ö., arık s.
25. International Conference on Neural Information Processing, ICONIP 2018, Siem Reap, Kamboçya, 12 - 16 Aralık 2018, ss.353-360, (Tam Metin Bildiri)

7. A new robust stability result for delayed neural networks

FAYDASIÇOK Ö., ÇİÇEK C., arık s.
25. International Conference on Neural Information Processing, ICONIP 2018, Siem Reap, Kamboçya, 12 - 16 Aralık 2018, ss.343-352, (Tam Metin Bildiri)

8. A new sufficient condition for robust stability of delayed neural networks

Faydasıçok Ö., Çiçek C., Arık S.
33. International Technical Conference on Circuits Systems, Computers and Communications, ITC-CSCC201, Bangkok, Tayland, 4 - 07 Temmuz 2018, ss.248-251, (Özet Bildiri)

9. Stability analysis of neutral-type neural networks with constant time delay

FAYDASIÇOK Ö., arık s.
33. International Technical Conference on Circuits Systems, Computers and Communications, ITC-CSCC2018, Bangkok, Tayland, 4 - 07 Temmuz 2018, ss.29-32, (Tam Metin Bildiri)

10. A new sufficient condition for robust stability of delayed neural networks

FAYDASIÇOK Ö., ÇİÇEK C., arık s.
33. International Technical Conference on Circuits Systems, Computers and Communications, ITC-CSCC2018, Bangkok, Tayland, 4 - 07 Temmuz 2018, ss.248-251, (Tam Metin Bildiri)

11. An alternative approach on model selection in Generalized Linear Models

FAYDASIÇOK Ö., AKAY K. U.
International Conference on Trends and Perspectives in Linear Statistical Inference, LINSTAT2010, Tomar, Portekiz, 27 - 31 Temmuz 2010, ss.142, (Özet Bildiri)
Metrikler

Yayın

35

Yayın (WoS)

21

Yayın (Scopus)

23

Atıf (WoS)

471

H-İndeks (WoS)

11

Atıf (Scopus)

519

H-İndeks (Scopus)

12

Atıf (Scholar)

580

H-İndeks (Scholar)

12

Atıf (Sobiad)

1

H-İndeks (Sobiad)

1

Tez Danışmanlığı

3

Açık Erişim

1
BM Sürdürülebilir Kalkınma Amaçları