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Özel Aralık Girişi
Evaluating the potential of multi-temporal Sentinel-1 and Sentinel-2 data for regional mapping of olive trees
INTERNATIONAL JOURNAL OF REMOTE SENSING, Vol. 44, No. 23, Kasım 2023, s. 27, ISSN: 0143-1161
AKÇAY HAYDAR MUHAMMED, KAYA ŞİNASİ, SERTEL ELİF, AKSOY SAMET, JADU DASH
Elif Sertel Özgün Makale Olive classification Sentinel optical and radar data data fusion random forest Google Earth Engine
Comparison between random forest and support vector machine algorithms for LULC classification
International Journal of Engineering and Geoscience, Vol. 8, No. 1, Şubat 2023, s. 1-10, ISSN: 2548-0960
AVCI CENGİZ, BUDAK MUHAMMED, YAĞMUR AYDIN NUR, BEKTAŞ BALÇIK FİLİZ
Filiz Bektaş Balçık 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
Cem Recai Çırak Özgün Makale machine learningdata miningclassification algorithmsrandom forestperformance evaluationstudent success
Ransomware Detection and Classification using Ensemble Learning: A Random Forest Tree Approach
2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM), 26 Ekim 2023
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
Ibraheem Abdullah Mohammed Shayea Tam metin bildiri wireless communication
Analysing the Determinants of Surface Solar Radiation with Tree-Based Machine Learning Methods: Case of Istanbul
Pure and Applied Geophysics, Nisan 2024, ISSN: 0033-4553
GÜVEN DENİZHAN
Denizhan Güven Özgün Makale Surface solar radiationMachine learningForecastingRandom forest
Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Mustafa Ersel Kamaşak Özgün Makale Biomedical Signal ProcessingEmotion RecognitionPattern RecognitionMachine LearningPhysiological SignalGalvanic Skin ResponseDecision TreeRandom Forestk-Nearest NeighborsSupport Vector Machine
Flood Extent Determination in Agricultural Fields Using Sentinel-2 Data and Random Forest Classification
8th International Conference on Cartography and GIS, 14 Haziran 2020, ISSN: 1314-0604
ŞENEL GİZEM,EROĞLU MEHMET,BEKTAŞ BALÇIK FİLİZ,GÖKSEL ÇİĞDEM
Filiz Bektaş Balçık Tam metin bildiri
Flood Extent Determination in Agricultural Fields Using Sentinel-2 Data and Random Forest Classification
Conference: 8th International Conference on Cartography and GISAt: Nessebar, Bulgaria, 15 Haziran 2020
ŞENEL GİZEM,EROĞLU MEHMET,BEKTAŞ BALÇIK FİLİZ,GÖKSEL ÇİĞDEM
Çiğdem Göksel Tam metin bildiri
Flood Extent Determination in Agricultural Fields Using Sentinel-2 Data and Random Forest Classification
8th International Conference on Cartography and GIS, 14 Haziran 2020, ISSN: 1314-0604
ŞENEL GİZEM,EROĞLU MEHMET,BEKTAŞ BALÇIK FİLİZ,GÖKSEL ÇİĞDEM
Çiğdem Göksel Tam metin bildiri
Assessment of water quality and aquatic diversity of an open-pit gold mine area using random forest algorithm with Google Earth engine
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
ŞENER ALKAN
Esra Erten Tez Yüksek Lisans Tamamlandı
Data-Driven Modeling of Lateral and Cracking Loads in Confined Masonry Walls Using Machine Learning
Buildings MDPI, Vol. 14, No. 4016, Aralık 2024, ISSN: 2075-5309
BİLE HAMZA MAHAMAD,GÜLER KADİR,GÜLER KADİR
Kadir Güler Özgün Makale confined masonry walls; machine learning; extreme gradient boosting; random forest; lateral load capacity; cracking load; extremely randomized trees; empirical models

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