Classification of the weather images with the proposed hybrid model using deep learning, SVM classifier, and mRMR feature selection methods

Basit Öğe Kaydı
dc.authorid0000-0003-1866-4721en_US
dc.contributor.authorYildirim, Muhammed
dc.contributor.authorÇinar, Ahmet
dc.contributor.authorCengil, Emine
dc.date.accessioned2022-03-22T13:08:17Z
dc.date.available2022-03-22T13:08:17Z
dc.date.issued2022en_US
dc.departmentMTÖ Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractAs in many fields, the use of artificial intelligence methods in the classification of weather images will be very useful. In this study, a data set consisting of five classes such as cloudy, foggy, rainy, shine, and sunrise was used. A hybrid model has been developed to classify the images in the dataset. First of all, the features of the images in the dataset are obtained by using MobilenetV2, Densenet201, and Efficientnetb0 architectures, which are the most popular Convolutional Neural Network (CNN) architectures. These features are combined and optimized so that these optimized features are classified in the Support Vector Machine (SVM) classifier, one of the most popular classifier methods in machine learning. As a result, the developed hybrid model has outperformed the existing pre-trained architectures in the study. In addition, it has been proven that classification by concatenating the features obtained with CNN architectures is a successful method.en_US
dc.identifier.citationYildirim, M., Çinar, A., & Cengil, E. (2022). Classification of the weather images with the proposed hybrid model using Deep Learning, SVM classifier, and mRMR feature selection methods. Geocarto International, (just-accepted), 1-11.en_US
dc.identifier.doi10.1080/10106049.2022.2034989
dc.identifier.endpage11en_US
dc.identifier.scopus2-s2.0-85124373477en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1080/10106049.2022.2034989
dc.identifier.urihttps://hdl.handle.net/20.500.12899/778
dc.identifier.wosWOS:000753427800001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorYıldırım, Muhammed
dc.language.isoenen_US
dc.relation.echttps://doi.org/10.1080/10106049.2022.2034989
dc.relation.ispartofGEOCARTO INTERNATIONALen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep Learningen_US
dc.subjectFeature Extractionen_US
dc.subjectmRMRen_US
dc.subjectSVMen_US
dc.subjectClassificationen_US
dc.titleClassification of the weather images with the proposed hybrid model using deep learning, SVM classifier, and mRMR feature selection methodsen_US
dc.typeArticleen_US

Dosyalar

Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu