Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Serhat Hizlisoy"'
Autor:
Adalet Dishan, Mukaddes Barel, Serhat Hizlisoy, Recep Sinan Arslan, Harun Hizlisoy, Dursun Alp Gundog, Serhat Al, Zafer Gonulalan
Publikováno v:
BMC Veterinary Research, Vol 20, Iss 1, Pp 1-13 (2024)
Abstract The present study aimed to predict the biofilm-formation ability of L. monocytogenes isolates obtained from cattle carcasses via the ARIMA model at different temperature parameters. The identification of L. monocytogenes obtained from carcas
Externí odkaz:
https://doaj.org/article/7068d4e748084b228a0dd4733d85658e
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-13 (2024)
Abstract Analyzing songs is a problem that is being investigated to aid various operations on music access platforms. At the beginning of these problems is the identification of the person who sings the song. In this study, a singer identification ap
Externí odkaz:
https://doaj.org/article/b70c3c3c102944b1a296485a33ed55c9
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 24, Iss 3, Pp 760-767 (2021)
In this paper, we propose an approach for music emotion recognition based on convolutional long short term memory deep neural network (CLDNN) architecture. In addition, we construct a new Turkish emotional music database composed of 124 Turkish tradi
Externí odkaz:
https://doaj.org/article/cf97d0325fcf43e9878fc29632ad43d9
Publikováno v:
Volume: 10, Issue: 4 84-92
International Journal of Applied Mathematics Electronics and Computers
International Journal of Applied Mathematics Electronics and Computers
Speech recognition has several application areas such as human machine interaction, classification of phone calls by gender, voice tagging, STT, etc. Predicting gender from audio signals is a problem that is easy for humans to solve, difficult to sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67fa1dcace28664c61029aa0688760a0
https://doi.org/10.18100/ijamec.1221455
https://doi.org/10.18100/ijamec.1221455
Publikováno v:
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi. :793-802
Thanks to the technological developments that have taken place in recent years, the number, variety and quality of the data obtained using IoT (Internet of Things) sensors have been increasing. Data obtained from IoT sensors have been used in many sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec39a7aeee2ea09b196921def1f7582f
https://doi.org/10.21605/cukurovaumfd.1190438
https://doi.org/10.21605/cukurovaumfd.1190438
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 24, Iss 3, Pp 760-767 (2021)
© 2020 Karabuk UniversityIn this paper, we propose an approach for music emotion recognition based on convolutional long short term memory deep neural network (CLDNN) architecture. In addition, we construct a new Turkish emotional music database com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46f9e5742387bf6f15c069287c76e733
http://www.sciencedirect.com/science/article/pii/S2215098620342385
http://www.sciencedirect.com/science/article/pii/S2215098620342385
Publikováno v:
Veterinarski arhiv
Volume 90
Issue 2
Volume 90
Issue 2
Daily contact with cats is an important risk factor for human campylobacteriosis. The main goal of this study was to investigate the virulence genes and antibiotic resistances of C. jejuni isolated from the stools of cats brought to Erciyes Universit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b64ea03bba832a5ab4f5b25839901fd
https://doi.org/10.24099/vet.arhiv.0716
https://doi.org/10.24099/vet.arhiv.0716
Konuşma insanlar arasındaki hızlı ve en doğal iletişim yöntemlerindendir. Konuşmadan duygu tanıma çalışmaları, konuşma sırasındaçıkan ses sinyalinden anlam bilgisini elde etmeye çalışmaktadırlar. Son yıllarda konuşma sinyaller
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd89b9800fe84ca2c831b9401f04ef0f
https://avesis.kayseri.edu.tr/publication/details/7eade4aa-ee94-4a66-9f50-e1f163628773/oai
https://avesis.kayseri.edu.tr/publication/details/7eade4aa-ee94-4a66-9f50-e1f163628773/oai
Autor:
Serhat Hizlisoy, Zekeriya Tufekci
Publikováno v:
Issue: 24 176-183
Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
In this study, an architecture called Convolutional Long Short-term memory deep neural network (CLDNN) based on deep learning, which has not been used before in this field, is used for music genre classification. In addition, a new Turkish Music Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c4ce280b6476ba4169ed3870ea65756
https://doi.org/10.31590/ejosat.898588
https://doi.org/10.31590/ejosat.898588
Autor:
Serhat Hizlisoy, Zekeriya Tufekci
Publikováno v:
Avrupa Bilim ve Teknoloji Dergisi
Müzikten duygu tanıma yapılması, günümüzde hala oldukça zor bir görevdir. Bu çalışmada, müzikten duygu tanıma yapılması için genel problemler tespit edilmiş, bu problemlerin üstesinden gelmek ve sınıflandırma başarısını art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c673db0ace417271910e4c5554b988b7
https://doi.org/10.31590/ejosat.802169
https://doi.org/10.31590/ejosat.802169