ARAMA SONUÇLARI

Toplam 29 adet sonuçtan 20 tanesi görüntülenmektedir.

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. 7338-7364, ISSN: 0143-1161

AKÇAY HAYDAR, AKSOY SAMET, KAYA ŞİNASİ, SERTEL ELİF, DASH JADUNANDAN

Şinasi Kaya Özgün Makale Olive classification Sentinel optical and radar data data fusion random forest Google Earth Engine

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

Samet Aksoy Özgün Makale Olive classification Sentinel optical and radar data data fusion random forest Google Earth Engine

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

Random Forest in Splice Site Prediction of Human Genome

XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, BAF/GÜNEY KIBRIS RUM KESIMI, Vol. 57, 31 Mart 2016, s. 518-523, ISSN: 1680-0737

PASHAEI ELHAM,ÖZEN MUSTAFA,AYDIN NİZAMETTİN

Nizamettin Aydın Tam metin bildiri

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

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

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

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

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