ARAMA SONUÇLARI

Toplam 31 adet sonuçtan 20 tanesi görüntülenmektedir.

Comparative Effectiveness of Classification Algorithms in Predicting Diabetes

2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN), 22 Aralık 2024

SHAYEA IBRAHEEM ABDULLAH MOHAMMED

Ibraheem Abdullah Mohammed Shayea Tam metin bildiri Support vector machines Logistic regression Accuracy Machine learning algorithms Prediction algorithms Diabetes Classification algorithms Bayes methods Medical diagnostic imaging Regression tree analysis

A Trajectory Tracking Application of Planar Robot Arm via Support Vector Machines

International Conference on Adaptive and Intelligent Systems, Klagenfurt, Klagenfurt/AVUSTURYA, Vol. 6943, 6 Eylül 2011, s. 192-202

SARIYILDIZ EMRE,UÇAK KEMAL,ÖKE GÜLAY,TEMELTAŞ HAKAN

Kemal Uçak Tam metin bildiri Artificial Neural NetworksRedundancyRobot ArmSingularitySupport Vector MachineTrajectory Tracking

SPATIAL PREDICTION OF RECEIVED SIGNAL STRENGTH FOR CELLULAR COMMUNICATION USING SUPPORT VECTOR MACHINE AND K-NEAREST NEIGHBOURS REGRESSION

8th International Conference on GeoInformation Advances, İstanbul/TÜRKİYE, Vol. 48, No. 4, 11 Ocak 2024, s. 291-297, ISSN: 16821750

PERİHANOĞLU GÜZİDE MİRAY,KARAMAN HİMMET

Himmet Karaman Tam metin bildiri Makina Öğrenmesi

Localizing structural damage based on auto-regressive with exogenous input model parameters and residuals using a support vector machine based learning approach

Frontiers of Structural and Civil Engineering, Vol. 18, No. 10, Ekim 2024, s. 1492-1506, ISSN: 2095-2430

GÜNEŞ BURCU

Burcu Güneş Özgün Makale

Using Support Vector Machine for the Prediction of Unpaid Credit Card Debts

International Conference on Intelligent and Fuzzy Systems, 23 Temmuz 2019

YONTAR MELTEM,NAMLI DAĞ ÖZGE H,UĞURLU SEDA

Seda Yanık Özbay Tam metin bildiri

Comparison of support vector machine and object based classification methods for coastline detection

ISPRS2013-SSG Konferansı, Vol. 72, 11 Kasım 2013, s. 125-127

KALKAN KAAN,BAYRAM BÜLENT,MAKTAV MİTHAT DERYA,SUNAR AYŞE FİLİZ

Ayşe Filiz Sunar Tam metin bildiri

Prediction of Adhesion Strength Using Extreme Learning Machine and Support Vector Regression Optimized with Genetic Algorithm

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, Vol. 45, No. 8, Ağustos 2020, s. 6985-7004, ISSN: 2193-567X

HAZIR ENDER,ÖZCAN TUNCAY,KOÇ KÜÇÜK HÜSEYİN

Tuncay Özcan Özgün Makale

Support Vector Machines for Multi Attribute ABC Analysis

International Journal of Machine Learning and Computing (IJMLC), Vol. 3, No. 1, 2013, s. 155-157

KARTAL BASRİ,ÇEBİ FERHAN

Ferhan Çebi Özgün Makale

A set of new Chebyshev kernel functions for support vector machine pattern classification

Pattern Recognition, Vol. 44, No. 7, Temmuz 2011, s. 1435-1447, ISSN: 00313203

SEDAT OZER,CHİ H CHEN,ÇIRPAN HAKAN ALİ

Hakan Ali Çırpan Özgün Makale

Adaptive directed support vector machine method for the reliability evaluation of aeroengine structure

Reliability Engineering and System Safety, Vol. 246, No. 110064, Mart 2024, s. 1-12, ISSN: 0951-8320

Lİ CHEN,WEN JİONG-RAN,WAN JİNG,TAYLAN OSMAN,FEİ CHENG-WEİ

Osman Taylan Özgün Makale

Patlatma Kaynaklı Yer Sarsıntısının ANFIS ve Destek Vektör Makineleri İle Tahmin Edilmesi / Prediction of Blast-Induced Ground Vibrations by ANFIS and Support Vector Machines

10th International Drilling Blasting Symposium, Antalya/TÜRKİYE, 25 Kasım 2021, s. 141-148

AĞAN YAŞAR, HÜDAVERDİ TÜRKER, AKYILDIZ ÖZGE

Yaşar Ağan Tam metin bildiri vibration yer sarsıntısıpatlatma machine learningblasting

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