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MOCCA: Multilayer One-Class Classification for Anomaly Detection
IEEE Transactions on Neural Networks and Learning Systems, Vol. 33, No. 6, Haziran 2022, s. 2313-2323, ISSN: 2162-237X
MASSOLİ FABİO VALERİO, FALCHİ FABRİZİO, KANTARCI ALPEREN, AKTI ŞEYMANUR, EKENEL HAZIM KEMAL, AMATO GİUSEPPE
Hazım Kemal Ekenel Özgün Makale
Detection of surface temperature anomaly of the Sea of Marmara
Elsevier BV, Vol. 71, No. 7, Ocak 2023, s. 2996-3004, ISSN: 0273-1177
TUZCU KOKAL AYLİN, İSMAİLOĞLU İREM, MUSAOĞLU NEBİYE, TANIK AYŞE GÜL
Aylin Tuzcu Kokal Özgün Makale
Photovoltaics Cell Anomaly Detection Using Deep Learning Techniques
the 2nd International Conference on Advanced Engineering, Technology and Applications (ICAETA), İstanbul/TÜRKİYE, Vol. 1983, No. 1, 10 Mart 2023, s. 159-174
ALDULAİMİ ABDULLAH AHMED, HAMEED ALAA ALI, GÜNEŞER MUHAMMET TAHİR, JAMIL AKHTAR
Muhammet Tahir Güneşer Tam metin bildiri
Sparse and low-rank matrix decomposition-based method for hyperspectral anomaly detection
Journal of Applied Remote Sensing, Vol. 13, No. 01, Ocak 2019, s. 1, ISSN: 1931-3195
KÜÇÜK FATMA,TÖREYİN BEHÇET UĞUR,ÇELEBİ FATİH VEHBİ
Behçet Uğur Töreyin Özgün Makale
Anomaly detection in hyperspectral data with matrix decomposition
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
KÜÇÜK FATMA,TÖREYİN BEHÇET UĞUR,ÇELEBİ FATİH VEHBİ
Behçet Uğur Töreyin Tam metin bildiri
Anomaly Detection on ADS-B Flight Data Using Machine Learning Techniques
International Conference on Computational Collective Intelligence, Rodos/YUNANİSTAN, 29 Eylül 2021
TAŞDELEN OSMAN, ÇARKACIOĞLU LEVENT, TÖREYİN BEHÇET UĞUR
Behçet Uğur Töreyin Tam metin bildiri
Design of a decision support system to achieve condition-based maintenance in ship machinery systems
OCEAN ENGINEERING, Vol. 281, Ocak 2023, s. 9, ISSN: 0029-8018
KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN, GUEDES SOARES CARLOS
A new distributed anomaly detection approach for log IDS management based on deep learning
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, Vol. 29, No. 5, Ocak 2021, s. 2486-2501, ISSN: 1300-0632
ZAİM ABDÜL HALİM, AYDIN MUHAMMED ALİ, SERTBAŞ AHMET
Autonomous anomaly detection and molecular signaling framework for synthetic nanodevices
ELSEVIER Nano Communication Networks, Vol. 5, No. 3, Eylül 2014, s. 55-62, ISSN: 18787789
AKGUL OZGUR UMUT,CANBERK BERK
Berk Canberk Özgün Makale
High Performance Real-time Anomaly Detection for Agricultural Monitoring Systems
2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), Wuhan/ÇİN HALK CUMHURİYETİ, 25 Temmuz 2023
ERYİLMAZ SELİM EREN, YÜCEL MERİÇ, ÜSTÜNDAĞ BURAK BERK
Meriç Yücel Tam metin bildiri
Long-term structural health monitoring of long-span suspension bridges and anomaly detection using statistical indicators
SHMII-11: 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure, MONTREAL/KANADA, 8 Ağustos 2022
ÇETİNDEMİR OĞUZHAN, TEPE ESRA, ZÜLFİKAR ABDULLAH CAN, YEŞİLYURT ALİ, APAYDIN NURDAN
Ali Yeşilyurt Tam metin bildiri
A New Anomaly-Based Intrusion Detection System for MIL-STD-1553
10th International Conference on Recent Advances in Air and Space Technologies (RAST2023), İstanbul/TÜRKİYE, 7 Haziran 2023, s. 1-6
ÇİLOĞLU YUNUS EMRE, BAHTİYAR ŞERİF
Şerif Bahtiyar Tam metin bildiri
A new distributed anomaly detection approach for log IDS management based on deep learning
ulakbim, Vol. 29, No. 5, Ocak 2021, ISSN: 1300-0632
ZAİM ABDÜL HALİM, AYDIN MUHAMMED ALİ, SERTBAŞ AHMET
Abdül Halim Zaim Özgün Makale

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