A method for analyzing suspect-filler similarity using convolutional neural networks

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AYDIN D. E., AR Y.

Communications Faculty of Sciences University of Ankara Series A2-A3: Physical Sciences and Engineering, cilt.64, sa.2, ss.129-151, 2022 (TRDizin)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 64 Sayı: 2
• Basım Tarihi: 2022
• Doi Numarası: 10.33769/aupse.1184112
• Dergi Adı: Communications Faculty of Sciences University of Ankara Series A2-A3: Physical Sciences and Engineering
• Derginin Tarandığı İndeksler: TR DİZİN (ULAKBİM)
• Sayfa Sayıları: ss.129-151
• Ankara Üniversitesi Adresli: Evet