Makaleler
16
Tümü (16)
SCI-E, SSCI, AHCI (15)
SCI-E, SSCI, AHCI, ESCI (16)
ESCI (1)
Scopus (16)
9. Application of machine learning methodology for investigating the vibration behavior of functionally graded porous nanobeams
Journal of Strain Analysis for Engineering Design
, cilt.60, sa.2, ss.131-151, 2025 (SCI-Expanded, Scopus)
11. A machine learning approach for buckling analysis of a bi-directional FG microbeam
MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS
, cilt.31, sa.1, ss.177-198, 2025 (SCI-Expanded, Scopus)
15. Assessment of machine learning methods predicting the axial vibration frequencies of microbars
ZAMM-ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK
, cilt.104, sa.3, 2024 (SCI-Expanded, Scopus)
16. Vibration analysis of embedded porous nanobeams under thermal effects using boosting machine learning algorithms and semi-analytical approach
Mechanics of Advanced Materials and Structures
, cilt.31, sa.29, ss.12320-12343, 2024 (SCI-Expanded, Scopus)
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler
7
4. Neural network modeling for predicting the elastoplastic behavior of short fiber reinforced polymers
27th International Conference on Composite Structures, Bologna, İtalya, 3 - 06 Eylül 2024, ss.18-19, (Özet Bildiri)
5. Implementing a dual-phase machine learning strategy to develop ANN based constitutive models
9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2024), Lisbon, Portekiz, 3 - 07 Haziran 2024, (Yayınlanmadı)
6. SmartFIT: A tool for optimizing the constitutive model parameters
23. ULUSAL MEKANİK KONGRESİ, Konya, Türkiye, 4 - 08 Eylül 2023, (Yayınlanmadı)
7. Computational modeling the non-linear behavior of critical members causing progressive collapse in steel lattice towers
22. ULUSAL MEKANİK KONGRESİ, 6 - 08 Eylül 2021, ss.814-825, (Tam Metin Bildiri)