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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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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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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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
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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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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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), 30 Ekim 2016
DAĞLARLI EVREN,ARIBAŞ ERKE
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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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Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation
2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 8 Eylül 2019
TURAN MERVE,ÖZTÜRK ERSİN,ÇIRPAN HAKAN ALİ
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Offloading Deep Learning Powered Vision Tasks From UAV to 5G Edge Server With Denoising
Institute of Electrical and Electronics Engineers (IEEE), Vol. 72, Haziran 2023, s. 8035-8048, ISSN: 0018-9545
ÖZER SEDAT, İLHAN ENES, ÖZKANOĞLU MEHMET AKİF, ÇIRPAN HAKAN ALİ
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Image Segmentation for Radar Signal Deinterleaving Using Deep Learning
Institute of Electrical and Electronics Engineers (IEEE), Vol. 59, Şubat 2023, s. 541-554, ISSN: 0018-9251
NUHOĞLU MUSTAFA ATAHAN, ALP YAŞAR KEMAL, ULUSOY MUSTAFA EGE CAN, ÇIRPAN HAKAN ALİ
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Offloading Deep Learning Empowered Image Segmentation from UAV to Edge Server
In 2021 44th International Conference on Telecommunications and Signal Processing (TSP), 26 Temmuz 2021
İLHAN HÜSEYİN ENES, ÖZER SEDAT, KARABULUT KURT GÜNEŞ, ÇIRPAN HAKAN ALİ
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Strengths and weaknesses of deep learning models for face recognition against image degradations
IET Biometrics, Vol. 7, No. 1, Ocak 2018, s. 81-89, ISSN: 2047-4938
GRM KLEMEN,STRUC VİTOMİR,ARTİGES ANAİS,CARON MATTHİEU,EKENEL HAZIM KEMAL
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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
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Building Extraction in VHR Remote Sensing Imagery Through Deep Learning
Fresenius Environmental Bulletin and Advances in Food Sciences, Vol. 8, No. 31, Ağustos 2022, s. 8468-8473, ISSN: 1018-4619
ATİK ŞAZİYE ÖZGE, İPBÜKER CENGİZHAN
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Automated Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders
Cancers, Vol. 13, No. 11, Haziran 2021, s. 1-13, ISSN: 2072-6694
TANRIVER GİZEM, TEKKESİN MERVA SOLUK, ERGEN ONUR
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