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Global teamwork: a study of design learning in collaborative virtual environments
Undisciplined! Design Research Society Conference, Sheffield/İNGİLTERE, 16 Temmuz 2008
GÜL LEMAN FİGEN,WANG XİANGYU,ÇAĞDAŞ GÜLEN,BÜLBÜL TANSEL,TONG HAKAN
Leman Figen Gül Tam metin bildiri
Optimal band selection using explainable artificial intelligence for machine learning-based hyperspectral image classification
Journal of Applied Remote Sensing, Vol. 18, Temmuz 2024, ISSN: 1931-3195
ATİK ŞAZİYE ÖZGE,ATİK MUHAMMED ENES
PRINCIPAL COMPONENT ANALYSIS APPROACH IN HYPERSPECTRAL IMAGE CLASSIFICATION WITH MACHINE LEARNING METHODS
International Symposium on Applied Geoinformatics 2021, Riga/LİTVANYA, 2 Aralık 2021
ATİK ŞAZİYE ÖZGE, ATİK MUHAMMED ENES
Şaziye Özge Atik Tam metin bildiri
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
Şaziye Özge Atik Özgün Makale
DIMENSION REDUCTION WITH PRINCIPAL COMPONENT ANALYSIS IN HYPERSPECTRAL IMAGE CLASSIFICATION USING MACHINE LEARNING
The 43rd Asian Conference on Remote Sensing 2022, Ulaanbaatar/MOĞOLİSTAN, 4 Ekim 2022
ATİK ŞAZİYE ÖZGE
Şaziye Özge Atik Tam metin bildiri
Emulating CNN with template learning on FPGA
2017 European Conference on Circuit Theory and Design (ECCTD), Catania/İTALYA, 4 Eylül 2017, s. 1-4
KÖSE ERDEM,YALÇIN MÜŞTAK ERHAN
A New Architecture for Emulating CNN with Template Learning on FPGA
CNNA 2018 The 16th International Workshop on Cellular Nanoscale Networks and their Applications, Budapeşte/MACARİSTAN, 28 Ağustos 2018
KÖSE ERDEM,YALÇIN MÜŞTAK ERHAN
Müştak Erhan Yalçın Tam metin bildiri
Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data
Advances in Space Research, Vol. 69, No. 2, Ocak 2022, ISSN: 0273-1177
AKSOY SAMET, YILDIRIM AYLİN, GORJI TAHA, HAMZEHPOUR NIKOU, TANIK AYŞE GÜL, SERTEL ELİF
Samet Aksoy Özgün Makale
Determination of burned areas using Sentinel-2A imagery and machine learning classification algorithms
4th Intercontinental Geoinformation Days (IGD), TABRIZ/İRAN, Vol. 4, No. 1, 20 Haziran 2022, s. 43-46
ARIKAN CEYDANUR, TÜMER İLAY NUR, AKSOY SAMET, SERTEL ELİF
Samet Aksoy Tam metin bildiri
Forest Biophysical Parameter Estimation via Machine Learning and Neural Network Approaches
2023 IEEE International Geoscience and Remote Sensing Symposium, Pasedana/AMERİKA BİRLEŞİK DEVLETLERİ, 16 Temmuz 2023
AKSOY SAMET, ZUHTER HASAN AL SHWAYYAT SHOUQ, TOPGÜL ŞULE NUR, SERTEL ELİF, ÜNSALAN CEM, SOLO JARI, HOLMSTRÖM ANTON, WALLERMAN JÖRGEN, NİLSSON MATS, FRANSSON JOHAN
Samet Aksoy Tam metin bildiri
Assessment of soil salinity using explainable machine learning methods and Landsat 8 images
International Journal of Applied Earth Observation and Geoinformation, Vol. 130, Haziran 2024, ISSN: 1569-8432
AKSOY SAMET,SERTEL ELİF,ROSCHER RİBANA,TANIK AYŞE GÜL,HAMZEHPOUR NIKOU
Samet Aksoy Özgün Makale
A multi-perspective input selection strategy for daily net ecosystem exchange predictions based on machine learning methods
Theoretical and Applied Climatology, Ekim 2022, ISSN: 0177-798X
EKMEKCİOĞLU ÖMER, BAŞAKIN EYYUP ENSAR, ALTINBAŞ NİLCAN, ÖZGER MEHMET, ŞAYLAN LEVENT
Levent Şaylan Özgün Makale
Development of an early warning system for higher education institutions by predicting first‐year student academic performance
Higher Education Quarterly, Ocak 2024, ISSN: 0951-5224
ÇIRAK CEM RECAİ,AKILLI HAKAN,EKİNCİ YELİZ
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
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
Onur Ergen Özgün Makale
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
Hazım Kemal Ekenel Özgün Makale
Benefiting from multitask learning to improve single image super-resolution
NEUROCOMPUTING, Vol. 398, Temmuz 2020, s. 304-313, ISSN: 0925-2312
RAD MOHAMMAD SAEED, BOZORGTABAR BEHZAD, MUSAT CLAUDİU, MARTİ URS-VİKTOR, BASLER MAX, EKENEL HAZIM KEMAL, THİRAN JEAN PHİLİPPE
Hazım Kemal Ekenel Özgün Makale
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
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
Hakan Ali Çırpan Tam metin bildiri
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
Hakan Ali Çırpan Tam metin bildiri

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