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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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