Machine learning-based compressive strength estimation in nano silica-modified concrete
Construction and Building Materials, Vol. 408, Aralık 2023, ISSN: 0950-0618
MAHERIAN MAHSA FARSHBAF,BARAN ŞERVAN,BIÇAKÇI SİDAR NİHAT,TÖREYİN UĞUR BEHÇET,ATAHAN HAKAN NURİ
|
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
|
Designing and learning within the designA Case Study of Principles for Designing and Teaching 3D Virtual Worlds’
CAADRIA 2007: Proceedings of the 12th International Conference on Computer-Aided Architectural Design Research in Asia, Nanijing/ÇİN HALK CUMHURİYETİ, No. null, 19 Nisan 2007, s. 127-132
GU NİNG,GÜL LEMAN FİGEN,MAHER MARY LOU
|
A new approach to design education: Evaluations of 3D virtual worlds on design teaching and learning
7th International Conference on Construction Applications of Virtual Reality, 22 Ekim 2007, s. 40-49
GÜL LEMAN FİGEN,GU NİNG,WİLLİAMS ANTHONY
|
Evaluating the Models of Communication: A Study of Collaborative Design in Virtual Environments
Journal of Information Technology in Construction, Vol. 17, 2012, s. 465-484, ISSN: 1874-4753, Special Issue eLearning 2.0: Web 2.0-based social learning in built environment
LF GÜL, G ÇAĞDAŞ
|
MACHINE VISION BOBBIN ANALYSIS SYSTEM WITH DEEP LEARNING APPROACH
3rd International Congress of Innovative Textiles (ICONTEX 2022), 18 Mayıs 2022
EMEKDAR ELÇİN, AÇIKGÖZ TUFAN HATİCE, ŞAHİN UMUT KIVANÇ, KURŞUN BAHADIR SENEM, AYATA KONUKOĞLU SEVAL, CANSU BATÇIK, BAYTAN T.K., ÇATAK E., ŞENTÜRK Ç.D.
|
Learning by doing revisited: An interactive experience in teaching design methods
DRS // CUMULUS 2013: 2nd International Conference for Design Education Researchers, Oslo/NORVEÇ, Vol. 3, 14 Mayıs 2013, s. 1652-1666
ÇELİKOĞLU ÖZGE,TİMUR ÖĞÜT ŞEBNEM
|
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
|
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
|
Multi-Label Classification Application for Environmental Monitoring Applications with Deep Learning Approaches
20th International Symposium on Environmental Pollution and its Impact on Life in the Mediterranean Region, Atina/YUNANİSTAN, 26 Ekim 2020
ATİK ŞAZİYE ÖZGE,İPBÜKER CENGİZHAN
|
Optimal band selection using explainable artificial intelligence for machine learning-based hyperspectral image classification
Journal of Applied Remote Sensing, Vol. 18, No. 4, Temmuz 2024, ISSN: 1931-3195
ATİK ŞAZİYE ÖZGE,ATİK MUHAMMED ENES
|
Machine Learning-Based Supervised Classification of Sentinel-2 MSI and Landsat-8 OLI Imagery in Marguerite Bay of Antarctic Peninsula
ISPRS, EARSeL & DGPF Joint İstanbul Workshop 2025, İstanbul/TÜRKİYE, 29 Ocak 2025
ARKALI MEHMET,ATİK MUHAMMED ENES,ATİK ŞAZİYE ÖZGE
|
DIMENSION REDUCTION WITH PRINCIPAL COMPONENT ANALYSIS IN HYPERSPECTRAL IMAGE CLASSIFICATION USING MACHINE LEARNING
The 43rd Asian Conference on Remote Sensing 2022, Ulaanbaatar/MOĞOLİSTAN, 3 Ekim 2022
ATİK ŞAZİYE ÖZGE
|
Classification of Urban Vegetation Utilizing Spectral Indices and DEM with Ensemble Machine Learning Methods
International Journal of Environment and Geoinformatics, Vol. 12, No. 1, Mart 2025, s. 43-53, ISSN: 2148-9173
ATİK ŞAZİYE ÖZGE
|
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
|
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
|
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
|
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
|
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
|
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
|