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Comparative analysis of deep learning based building extraction methods with the new VHR Istanbul dataset
Expert Systems with Applications, Vol. 202, Mayıs 2022, s. 1-13, ISSN: 0957-4174
BAKIRMAN TOLGA, İREM KÖMÜRCÜ, SERTEL ELİF
Elif Sertel Özgün Makale
Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images
Remote Sensing, Vol. 14, No. 18, Eylül 2022, s. 20, ISSN: 2072-4292
SERTEL ELİF, EKİM BURAK, ETTEHADİ PARİA, KABADAYI MUSTAFA ERDEM
Deep Learning-Based Road Extraction From Historical Maps
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, Vol. 19, Ocak 2022, s. 5, ISSN: 1545-598X
AVCI CENGİZ, SERTEL ELİF, KABADAYI MUSTAFA ERDEM
Comparative Analysis on Deep Learning based Pan-sharpening of Very High-Resolution Satellite Images
International Journal of Environment and Geoinformatics, Vol. 8, Ocak 2021, ISSN: 2148-9173
WANG PEİJUAN, ALGANCI UĞUR, SERTEL ELİF
Automatic Road Extraction from Historical Maps Using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II Map
ISPRS International Journal of Geo-Information, Vol. 10, No. 8, Temmuz 2021, ISSN: 2220-9964
EKİM BURAK, SERTEL ELİF, KABADAYI MUSTAFA ERDEM
Elif Sertel Özgün Makale
Deep Learning Based Patch-Wise Land Cover Land Use Classification: A New Small Benchmark Sentinel-2 Image Dataset
IEEE IGARSS 2022 Conference, 17 Temmuz 2022
ALP GÜLŞAH, SERTEL ELİF
Elif Sertel Tam metin bildiri
Deep Learning-Based Land Use Land Cover Segmentation of Historical Aerial Images
2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023), California/AMERİKA BİRLEŞİK DEVLETLERİ, 16 Temmuz 2023
SERTEL ELİF, CENGİZ AVCI, KABADAYI MUSTAFA ERDEM
Elif Sertel Tam metin bildiri
Comparative Research on Deep Learning Approaches for Airplane Detection from Very High-Resolution Satellite Images
Remote Sensing, Vol. 12, No. 3, Şubat 2020, s. 458, ISSN: -
ALGANCI UĞUR,SOYDAŞ MEHMET,SERTEL ELİF
Elif Sertel Özgün Makale
Super-resolution of remotely sensed data using channel attention based deep learning approach
International Journal of Remote Sensing, Vol. 42, No. 16, Mayıs 2021, s. 6050-6067, ISSN: 0143-1161
WANG PEİJUAN, BAYRAM BÜLENT, SERTEL ELİF
Elif Sertel Özgün Makale Remote sensing
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
Deep learning under H2O framework: A novel approach for quantitative analysis of discharge coefficient in sluice gates
JOURNAL OF HYDROINFORMATICS, Vol. 22, No. 6, Ocak 2020, s. 1603-1619, ISSN: 1464-7141
GHORBANI MOHAMMAD ALI, SALMASİ FARZİN, SAGGİ MANDEEP KAUR, BHATİA AMANDEEP SİNGH, KAHYA ERCAN, NOROUZİ REZA
Ercan Kahya Özgün Makale
DCTNet: deep shrinkage denoising via DCT filterbanks
Signal, Image and Video Processing, Vol. 17, No. 7, Haziran 2023, ISSN: 1863-1703
KARAOĞLU HASAN HÜSEYİN, EKŞİOĞLU ENDER METE
Modulation Classification with Deep Learning
15th International Conference ETAI 2021, Üsküp/MAKEDONYA, Vol. 2, No. 1, 23 Eylül 2021, s. 263-269, ISSN: 2245-4889
BALSÜZEN SELÇUK, KARTAL MESUT
Mesut Kartal Tam metin bildiri
Optimizing Data Availability and Utilization in Deep Learning Accelerator SoCs
2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 4 Aralık 2023
RUMELİLİ KOKSAL CAGLA IRMAK,CİCEK NİHAT MERT,YILMAZER METİN AYŞE,ÖRS YALÇIN SIDDIKA BERNA
Ayşe Yılmazer Metin Tam metin bildiri
Deep-learning-based short-term electricity load forecasting: A real case application
Engineering Applications of Artificial Intelligence, Vol. 109, Ocak 2022, ISSN: 0952-1976
YAZICI İBRAHİM, BEYCA ÖMER FARUK, DELEN DURSUN
Ömer Faruk Beyca Özgün Makale
Analysis of Ophthalmic Disorders on Retinal Vessels Using Deep Learning Segmentation Methods
The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), 2 Kasım 2016
ARIBAŞ ERKE,DAĞLARLI EVREN
Erke Arıbaş Tam metin bildiri
A Spiking Neural Model of Cortical Tissue Using Deep Learning For a Humanoid Robot
IV. International Bioengineering Conference (BIOENG’16), 28 Ekim 2016
DAĞLARLI EVREN,ARIBAŞ ERKE
Erke Arıbaş Tam metin bildiri
A Spiking Neural Model of Cortical Tissue Using Deep Learning For a Humanoid Robot
IV. International Bioengineering Conference (BIOENG’16), 30 Ekim 2016
DAĞLARLI EVREN,ARIBAŞ ERKE
Erke Arıbaş Tam metin bildiri
ANALYSIS OF OPHTHALMIC DISORDERS ON RETINAL VESSELS USING DEEP LEARNING SEGMENTATION METHODS
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN INFORMATION SYSTEMS AND ENGINEERING (IJSRISE), Vol. 3, No. 2, Ağustos 2017, s. 1-4, ISSN: 2380-8128
ARIBAŞ ERKE,DAĞLARLI EVREN
Erke Arıbaş Özgün Makale
Malaria Parasite Detection with Deep Transfer Learning
2018 3rd International Conference on Computer Science and Engineering (UBMK), Sarajevo/BOSNA HERSEK, 20 Eylül 2018
VAR ESRA, TEK FAİK BORAY
Faik Boray Tek Tam metin bildiri

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