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Özel Aralık Girişi

Cluster Analysis and Principal Component Analysis using Micropollutant Measurements on the Most Polluted Tributary of Ergene River: Çorlu Stream
17th International Conference on Environmental Science and Technology (CEST2021), Atina/YUNANİSTAN, 1 Eylül 2021
ÇİNGİROĞLU FULYA, EMADİAN S. MEHDİ, TEZEL ULAŞ, KAYNAK TEZEL BURÇAK
Burçak Kaynak Tezel Tam metin bildiri
Tridiagonal Folmat Enhanced Multivariance Products Representation Based Hyperspectral Data Compression
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, Vol. 11, No. 9, Eylül 2018, s. 3272-3278, ISSN: 1939-1404
GÜNDOĞAR ZEYNEP,TÖREYİN BEHÇET UĞUR,DEMİRALP METİN
Additive Approach to Soil Water Erosion Risk Assessment Using Principal Component Analysis
Electronic Journal of Polish Agricultural Universities, Temmuz 2014, ISSN: 1505-0297
FİTRZYK MAGDALENA,KOPACZYK KATARZYNA,DOĞRU AHMET ÖZGÜR,KESKİN MERVE
Ahmet Özgür Doğru Özgün Makale
Predicting customer churn using grey wolf optimization-based support vector machine with principal component analysis
Journal of Forecasting, Vol. 42, No. 6, Eylül 2023, s. 1329-1340, ISSN: 1099-131X
DURKAYA BETÜL, ÖZCAN TUNCAY
Tuncay Özcan Özgün Makale
Prediction of Heart Disease Using a Hybrid XGBoost-GA Algorithm with Principal Component Analysis: A Real Case Study
International Journal on Artificial Intelligence Tools, Vol. 32, No. 2, Ocak 2023, ISSN: 0218-2130
ÖZCAN TUNCAY, PEKEL ÖZMEN EBRU
Tuncay Özcan Özgün Makale
Structural investigation of vesnarinone at the pore domains of open and open-inactivated states of hERG1 K channel
JOURNAL OF MOLECULAR GRAPHICS MODELLING, Vol. 77, No. null, 2017, s. 399-412, ISSN: 1093-3263
KAYİK GULRU,TÜZÜN NURCAN,DURDAĞI SERDAR
Principal Component Analysis Based Polynomial Chaos Expansion Regression of Leaf Area Index from Polsar Imagery
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels/BELÇİKA, 11 Temmuz 2021
ÇELİK MEHMET FURKAN, ERTEN ESRA
Esra Erten Tam metin bildiri
Channel Attention Networks for Robust MR Fingerprint Matching
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol. 69, No. 4, Ocak 2022, s. 8, ISSN: 0018-9294
SOYAK REFİK, NAVRUZ EBRU, RSOY EDA ÖZGÜ E, CRUZ GASTAO, PRİETO CLAUDİA, KİNG ANDREW P., ÜNAY DEVRİM, ÖKSÜZ İLKAY
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
Muhammed Enes Atik Tam metin bildiri
Evaluation of some Turkish Salvia species by principal component analysis based on their vitamin B2, mineral composition, and antioxidant properties
LWT, Vol. 100, Şubat 2019, s. 287-293, ISSN: 0023-6438
GEZEK GÖRKEM, HASHEMİ PARYA, KALAYCIOĞLU ZEYNEP, KAYGUSUZ HAKAN, SARIOĞLU GÖZDE, DÖKER SERHAT, DİRMENCİ TUNCAY, BERKER FATMA BEDİA
Zeynep Kalaycıoğlu Özgün Makale
Characterization of Turkish honeybee pollens by principal component analysis based on their individual organic acids, sugars, minerals, and antioxidant activities
LWT, Vol. 84, Ekim 2017, s. 402-408, ISSN: 00236438
KALAYCIOĞLU ZEYNEP,KAYGUSUZ HAKAN,DÖKER SERHAT,KOLAYLI SEVGİ,BERKER FATMA BEDİA
Zeynep Kalaycıoğlu Özgün Makale
Antioxidant activities, aliphatic organic acid and sugar contents of Anatolian bee bread: characterization by principal component analysis
European Food Research and Technology, Vol. 249, No. 5, Mart 2023, s. 1351-1361, ISSN: 1438-2377
KALAYCIOĞLU ZEYNEP, DEMİR KANBUR ESRA, KOLAYLI SEVGİ, BERKER FATMA BEDİA
Zeynep Kalaycıoğlu Özgün Makale
Characterization of Anatolian Bee Breads by Principal Component Analysis Based on Their Physicochemical and Chemical Characteristics
Journal of Apitherapy and Nature, Vol. 5, No. 1, Haziran 2022, s. 14-26, ISSN: 2667-4734
KALAYCIOĞLU ZEYNEP
Zeynep Kalaycıoğlu Özgün Makale
Principal Component Analysis of the Fractional Brownian Motion for 0 H 0 5
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, Toulouse, France/FRANSA, Vol. 3, 14 Mayıs 2006, s. 488-491
ÖZKURT TOLGA ESAT,AKGÜL TAYFUN
Tayfun Akgül Tam metin bildiri
Scanning strategy learning for electronic support receivers by robust principal component analysis
SPIE 11870, Artificial Intelligence and Machine Learning in Defense Applications III, 12 Eylül 2021
GÜL İSMAİL, ERER IŞIN
Işın Erer Tam metin bildiri
Quasi quantitative infrared thermographic detection of moisture variation in facades with adhered ceramic cladding using principal component analysis
Building and Environment, Vol. 94, Aralık 2015, s. 97-108, ISSN: 03601323
EDİS FETHİYE ECEM,INÊS FLORES-COLEN,DE BRİTO JORGE
Fethiye Ecem Edis 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
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
Optical characterization of olive and sun flower oils via mueller matrix polarimetry in combination with principal component analysis
Journal of Food Measurement and Characterization, Vol. 15, Ocak 2021, ISSN: 2193-4126
DERMAN İREM DENİZ, ŞENEL ESAT CAN, OPAR EKİN, FERHANOĞLU ONUR, POLAT ÖMER
Onur Ferhanoğlu Özgün Makale
Optical characterization of heat dependent collagen denaturation via Mueller matrix polarimetry in combination with principal component analysis
Applied Optics, Vol. 60, Ocak 2021, ISSN: 1559-128X
DERMAN İREM DENİZ, OPAR EKİN, FERHANOĞLU ONUR, POLAT ÖMER, KAZANCİ MURAT, POLAT ÖMER, POLAT ÖMER, POLAT ÖMER
Onur Ferhanoğlu Özgün Makale

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