Detection of Structural Damage using One-Class Support Vector Machine
3rd International Engineering Research Symposium, INERS 19, 5 Eylül 2019
GÜNEŞ BURCU, OK EFKAN
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An examination of instantaneous frequency as a damage detection tool
14th Engineering Mechanics Conference, Austin, TX, USA., Austin/AMERİKA BİRLEŞİK DEVLETLERİ, 21 Mayıs 2000
BERNAL DİONİSİO, GÜNEŞ BURCU
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A Data-Driven Approach for Earthquake Damage Detection
6th International Congress on Advances in Civil Engineering, İstanbul/TÜRKİYE, 6 Ekim 2004
GÜNEŞ BURCU, BERNAL DİONİSİO
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Preliminary Results of Earthquake Induced Building Damage Detection with Object Based Image Classification
XXIII ISPRS Congress2016, Prag/ÇEK CUMHURİYETİ, 12 Temmuz 2016
SABUNCU ASLI,SUNAR AYŞE FİLİZ
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A framework for composite wind turbine blades: From material development to structural optimisation and ml-enhanced damage detection
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2026
KEMAL HASIRCI
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Design of a test setup for steel wire rope fatigue testing and development of an AI-based damage detection method
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2025
MOHSEN SEYYEDİ
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Detection of structural damage using one-class support vector machine
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2020
EFKAN OK
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A Vibration-Based Damage Detection Algorithm For Bridge Type Structures
2017
AHMED NOOR MOHAMMED AL-QAYYİM
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A vibration-based damage detection algorithm for bridge type structures
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2017
AHMED AL-QAYYIM
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Structural damage detection with transfer function parameter changes
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2021
GÜRALP AYDEMİR
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Damage detection of a truss bridge via vibration data
Bridge Structures, Vol. 14, No. 2-3, Mart 2019, s. 109-118, ISSN: 15732487
AL-QAYYİM A N,ÇAĞLAYAN BARLAS ÖZDEN
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The two-points condensation technique (TPC) for detection of structural damage due to vibration
Journal of the South African Institution of Civil Engineering, Vol. 59, No. 2, Haziran 2017, s. 37-48, ISSN: 1021-2019
AL-QAYYİM A N,ÇAĞLAYAN BARLAS ÖZDEN
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structural damage detection via incompletemodal data using output data only
ICCTE 2015 : 17th International Conference on Civil and Transport Engineering, istanbul/TÜRKİYE, 26 Ekim 2015
AHMED NOOR AL QAYYİM,ÇAĞLAYAN BARLAS ÖZDEN
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An Unsupervised Hybrid Approach for Detection of Damage with Autoencoder and One-Class Support Vector Machine
Applied Sciences, Vol. 15, No. 8, Nisan 2025, s. 1-22, ISSN: 2076-3417
GÜNEŞ BURCU,GÜNEŞ OĞUZ
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An Unsupervised Hybrid Approach for Detection of Damage with Autoencoder and One-Class Support Vector Machine
Applied Sciences, Vol. 15, No. 8, Nisan 2025, ISSN: 2076-3417
GÜNEŞ BURCU,GÜNEŞ OĞUZ
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Time Series Analysis of Tree Health for Early Forest Damage Detection Using UAV Data
2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane/AVUSTURYA, 3 Ağustos 2025
DAHY BASAM,ŞENGÜN ESRA,AKSOY SAMET,SERTEL ELİF,REESE HEATHER,FRANSSON JOHAN
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Time Series Analysis Methodology for Damage Detection in Civil Structures
Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, Vol. 14, No. 4, Aralık 2023, s. 753-759, ISSN: 1309-8640
GÜNEŞ BURCU, GÜNEŞ OĞUZ
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Unsupervised Learning Approach for Detection and Localization of Structural Damage using Output-only Measurements
Academic Platform Journal of Engineering and Smart Systems, Vol. 10, No. 3, Ağustos 2022, s. 149-156, ISSN: 2822-2385
GÜNEŞ BURCU
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One-class machine learning approach for localized damage detection
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, Vol. 12, Temmuz 2022, s. 1115-1131, ISSN: 2190-5452 / 2190-5479
GÜNEŞ BURCU
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A Machine Learning Approach Utilizing Different Features for Structural Damage Detection
14th International Congress on Advances in Civil Engineering, ACE 2020-21, İstanbul/TÜRKİYE, 6 Eylül 2021
GÜNEŞ BURCU, OK EFKAN
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