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Detection of Structural Damage using One-Class Support Vector Machine
3rd International Engineering Research Symposium, INERS 19, 5 Eylül 2019
GÜNEŞ BURCU, OK EFKAN
Burcu Güneş Tam metin bildiri
Mixed type audio classification with support vector machine
2006 IEEE International Conference on Multimedia and Expo, 9 Temmuz 2006
CHEN LEI,ÖĞÜDÜCÜ ŞULE,ÖZSU TAMER
Şule Öğüdücü Tam metin bildiri
A SUPPORT VECTOR MACHINE-BASED APPROACH FOR SOUTHBOUND COMMUNICATION DETECTION IN SDN USING OPENFLOW
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
ALİ GÖKHAN AVRAN
Gökhan Seçinti Tez Yüksek Lisans Devam Ediyor
Detection of structural damage using one-class support vector machine
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
EFKAN OK
Burcu Güneş Tez Yüksek Lisans Tamamlandı
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
An intelligent fault diagnosis system on ship machinery systems based on support vector machine principles
European Safety and Reliability conference (ESREL 2016), Glasgow/İNGİLTERE, 25 Eylül 2016, s. 1949-1953
ÖZTÜRK ÜLKÜ,ÇİÇEK KADİR,ÇELİK METİN
Object-Based Classification of Greenhouses Using Sentinel-2 MSI and SPOT-7 Images: A Case Study from Anamur (Mersin), Turkey
IEEE JOURNAL OF SELECTEDTOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, Vol. 13, Ocak 2020, ISSN: 1939-1404
BEKTAŞ BALÇIK FİLİZ, ŞENEL GİZEM, GÖKSEL ÇİĞDEM
Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Predicting customer churn using grey wolf optimization-based support vector machine with principal component analysis
Journal of Forecasting, Vol. 42, No. 6, Eylül 2023, s. 1329-1340, ISSN: 1099-131X
DURKAYA BETÜL, ÖZCAN TUNCAY
Tuncay Özcan Özgün Makale
Frequency Difference based DNA Encoding Methods in Human Splice Site Recognition
2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), No. null, 5 Ekim 2017, s. 586-591
PASHAEI ELHAM,AYDIN NİZAMETTİN
Comparison between random forest and support vector machine algorithms for LULC classification
International Journal of Engineering and Geoscience, Vol. 8, No. 1, Şubat 2023, s. 1-10, ISSN: 2548-0960
AVCI CENGİZ, BUDAK MUHAMMED, YAĞMUR AYDIN NUR, BEKTAŞ BALÇIK FİLİZ
Filiz Bektaş Balçık Özgün Makale
Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection
2023 IEEE Conference on Antenna Measurements and Applications (CAMA), 17 Kasım 2023
JANJİC ALEKSANDAR, AKDUMAN İBRAHİM, ÇAYÖREN MEHMET, BUĞDAYCI ONUR, ARIBAL MUSTAFA ERKİN
İbrahim Akduman Tam metin bildiri
Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection
2023 IEEE Conference on Antenna Measurements and Applications (CAMA), 15 Kasım 2023
ÇAYÖREN MEHMET, ARIBAL MUSTAFA ERKİN, JANJİC ALEKSANDAR, AKDUMAN İBRAHİM, BUĞDAYCI ONUR
Mehmet Çayören Tam metin bildiri
Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
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
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
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
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

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