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Özel Aralık Girişi
Ship Detection From Optical Satellite Images With Deep Learning
2019 9TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST), No. null, 11 Haziran 2019, s. 479-484
KARTAL MESUT,DUMAN OSMAN
Mesut Kartal Tam metin bildiri ship detectionoptical satellite imagedeep learningtensorflowpythonartificial neural networks
Effect of image processing techniques on ship detection and tracking from digital cameras
International Symposium Information on Ships (ISIS 2012), Hamburg/ALMANYA, 31 Ağustos 2012
KOÇAK GAZİ, YAMAMOTO SHİGEHİRO
Gazi Koçak Tam metin bildiri
Preparing Dataset for Deep Learning Based Ship Detection
III. Global Conference on Innovation in Marine Technology and the Future of Maritime Transportation, İzmir/TÜRKİYE, 18 Nisan 2019, s. 66-81
GÖKÇEK VEYSEL,KOÇAK GAZİ
Gazi Koçak Tam metin bildiri
VHRShips: An Extensive Benchmark Dataset for Scalable Deep Learning-Based Ship Detection Applications
ISPRS International Journal of Geo-Information, Vol. 11, Ocak 2022, ISSN: 2220-9964
KIZILKAYA SERDAR, ALGANCI UĞUR, SERTEL ELİF
Elif Sertel Özgün Makale
DIFFERENT DEEP LEARNING APPROACHES FORSINGLE CLASS-LABELING: SHIP-DETECTION APPLICATION
The 40th Asian Conference on Remote Sensing (ACRS 2019), Daejeon/GÜNEY KORE, 14 Ekim 2019
DÖNMEZ ŞAZİYE ÖZGE,ŞEKER DURSUN ZAFER,İPBÜKER CENGİZHAN
Şaziye Özge Atik 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
Çağlar Karatuğ Özgün Makale Ship machinery system Maintenance Condition -based maintenance Anomaly detection ANFIS ANN
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
Yasin Arslanoğlu Özgün Makale Ship machinery system Maintenance Condition -based maintenance Anomaly detection ANFIS ANN
VHRShips: An Extensive Benchmark Dataset for Scalable Deep Learning-Based Ship Detection Applications
ISPRS International Journal of Geo-Information, Vol. 11, No. 8, Ağustos 2022, ISSN: 2220-9964
KIZILKAYA SERDAR, ALGANCI UĞUR, SERTEL ELİF
Uğur Algancı Özgün Makale deep learningoptical satellite imageship classificationend-to-end approachdatasetNETWORKCLASSIFICATIONIMAGES
Application of Fuzzy Analytic Hierarchy Proses for Error Detection of Auxiliary Systems of Ship Main Diesel Engines
International Journal of Maritime Engineering, Vol. 157, No. 2, Haziran 2015, s. 105-112, ISSN: 1479-8751
DEMİREL HAKAN,ÜNLÜGENÇOĞLU KAAN,ALARÇİN FUAT,BALIN ABİT
Hakan Demirel Özgün Makale

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