Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Arif Metehan YILDIZ"'
Autor:
Arif Metehan Yildiz, Masayuki Tanabe, Makiko Kobayashi, Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Ru-San Tan, U. Rajendra Acharya
Publikováno v:
IEEE Access, Vol 11, Pp 108705-108715 (2023)
Most emotion classification schemes to date have concentrated on individual inputs rather than crowd-level signals. In addressing this gap, we introduce Sound-based Community Emotion Recognition (SCED) as a fresh challenge in the machine learning dom
Externí odkaz:
https://doaj.org/article/5db78aa60ba14b0f8b715794a7678961
Autor:
Tugce KELES, Yunus Emre COLAK, Nurcan ILHAN, Kubra YILDIRIM, Arif Metehan YILDIZ, Turker TUNCER, Sengul DOGAN
Publikováno v:
Firat University Journal of Experimental & Computational Engineering (FUJECE); Feb2024, Vol. 3 Issue 2, p204-215, 12p
Publikováno v:
Turkish Journal of Science and Technology.
Background: Audio violence detection (AVD) is a hot-topic research area for sound forensics but there are limited AVD researches in the literature. Our primary objective is to contribute to sound forensics. Therefore, we collected a new audio dataset
Autor:
Serkan Kirik, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Caner Feyzi Demir, Tugce Keles, Arif Metehan Yildiz, Nursena Baygin, Ilknur Tuncer, Turker Tuncer, Ru-San Tan, U. Rajendra Acharya
Publikováno v:
Biomedical Signal Processing and Control. 85:104927
Autor:
Arif Metehan Yildiz, Prabal D. Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Chui Ping Ooi, Hamido Fujita, U. Rajendra Acharya
Publikováno v:
Expert Systems with Applications. 224:120031
Autor:
Prabal Datta Barua, Arif Metehan Yildiz, Nida Canpolat, Tugce Keles, Sengul Dogan, Mehmet Baygin, Ilknur Tuncer, Turker Tuncer, Ru-San Tan, Hamido Fujita, U. Rajendra Acharya
Publikováno v:
Engineering Applications of Artificial Intelligence. 119:105821
Autor:
Tugce Keles, Arif Metehan Yildiz, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Caner Feyzi Demir, Edward J. Ciaccio, U. Rajendra Acharya
Publikováno v:
Engineering Applications of Artificial Intelligence. 119:105722
Autor:
U. Rajendra Acharya, Turker Tuncer, Sengul Dogan, Tugce Keles, Kubra Yıldırım, Mehmet Veysel Gun, Arif Metehan Yıldız
Publikováno v:
Firat University Journal of Experimental and Computational Engineering, Vol 2, Iss 2, Pp 46-54 (2023)
Nowadays, the forward-forward (FF) algorithm is very popular in the machine learning society, and it uses a square-based activation function. In this research, we inspired the FF algorithm and presented a new kernel for a local binary pattern named s
Externí odkaz:
https://doaj.org/article/3516c2130b8f4643ad4c34ca68d7b971