An Artificial Neural Network Approach to Predict Strain Gauge Results of Unidirectional Laminated Composites’ Tensile Test
10th International Conference on Recent Advances in Air and Space Technologies (RAST2023), İstanbul/TÜRKİYE, No. 10, 7 Haziran 2023, s. 1-4
KARALAR ANIL BURAK, SOYUGÜZEL TAHİR, BALKAN DEMET
|
A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network
Journal of Marine Engineering & Technology, Mayıs 2024, ISSN: 2046-4177
BİÇEN SAMET,ÇELİK METİN
|
An Artificial Neural Network Approach to Predict Strain Gauge Results of Unidirectional Laminated Composites’ Tensile Test
10th International Conference on Recent Advances in Air and Space Technologies (RAST2023), İstanbul/TÜRKİYE, No. 10, 7 Haziran 2023, s. 1-4
KARALAR ANIL BURAK, SOYUGÜZEL TAHİR, BALKAN DEMET
|
Estimation of partial saturation to be induced in liquefiable sands for mitigation using artificial neural network approach
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2012
ÇAĞDAŞ ÇAYAKAN
|
Genetic Based Approach to the Synthesis of a Cylindrical-Rectangular Microstrip Conformal Antenna Using Artificial Neural Network and Support Vector Regression Models
ELECO 2017 10th International Conference on Electrical and Electronics Engineering, 30 Kasım 2017
YİĞİT MAHMUD ESAD,ÖKE GÜNEL GÜLAY,GÜNEL MURAT TAYFUN
|
Artificial Neural Network Approach to Predict the Vibration Responses of Composite Sandwich Plate with a Honeycomb Core
International Graduate Research Symposium – IGRS’22, İstanbul/TÜRKİYE, 1 Haziran 2022, s. 10
KARALAR ANIL BURAK, BALKAN DEMET
|
Fault section estimation in electrical power systems using artificial neural network approach
IEEE Transmission and Distribution Conference, 11 Nisan 1999
Z ELİF AYGEN,ŞEKER ŞAHİN SERHAT,BAĞRIYANIK MUSTAFA,BAĞRIYANIK FATMA GÜL,AYAZ EMİNE
|
Fault section estimation in electrical power systems using artificial neural network approach
the 1999 IEEE/PES Transmission and Distribution Conference, Vol. 2, 11 Nisan 1999, s. 466-469
BATMAN ZEHRA ELİF,ŞEKER ŞAHİN SERHAT,BAĞRIYANIK FATMA GÜL,BAĞRIYANIK MUSTAFA,AYAZ EMİNE
|
A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network
Journal of Marine Engineering & Technology, Vol. 23, No. 4, Mayıs 2024, s. 291-304, ISSN: 2046-4177
BİÇEN SAMET,ÇELİK METİN
|
A novel artificial neural network-based interface coupling approach for partitioned fluid-structure interaction problems
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, Vol. 151, Ocak 2023, s. 22, ISSN: 0955-7997
MAZHAR FARRUKH, JAVED ALİ, ALTINKAYNAK ATAKAN
|
Free Vibration Analysis of Porous Beams via Numerical and Artificial Neural Network Approach
27th International Conference on Composite Structures (ICCS27), Ravenna/İTALYA, 3 Eylül 2024
ÇELİK MURAT,ÖZDİLEK EMİN EMRE,GÜNDOĞDU EMİRCAN,DEMİRKAN EROL
|
Artificial neural network approach to spatial estimation of wind velocity data
Energy Conversion and Management, Vol. 47, No. 4, Mart 2006, s. 395-406, ISSN: 01968904
ÖZTOPAL AHMET
|
Phosphate Phosphide Nitride and Carbide Capacity Predictions of Molten Melts by Using an Artificial Neural Network Approach
ISIJ International, Vol. 56, No. 2, Ocak 2016, s. 183-188, ISSN: 0915-1559
DERİN CEVAT BORA,ALAN EMRE,SUZUKİ MASANORİ,TANAKA TOSHİHİRO
|
Fault section estimation in electrical power systems using artificial neural network approach
IEEE Transmission and Distribution Conference, 11 Nisan 1999
Z ELİF AYGEN,ŞEKER ŞAHİN SERHAT,BAĞRIYANIK MUSTAFA,BAĞRIYANIK FATMA GÜL,AYAZ EMİNE
|
Prediction of the power output of a power generation gas turbine using artificial neural network (ANN) approach - case study Libya
Lisansüstü Eğitim Enstitüsü, Karabük Üniversitesi, 2019
ALI SALEM MOHAMED EMDALEL
|
An artificial neural network approach to predict the results of strain gauge measurements in the tensile testing of unidirectional laminated composites
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
ANIL BURAK KARALAR
|