Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ayub O. Abdulrahman"'
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110231- (2024)
Dialect recognition System (DRS) is a highly significant subject within the field of speech analysis. The performance of speech recognition systems is adversely impacted by factors such as the age, gender, and dialect features of the speaker. In orde
Externí odkaz:
https://doaj.org/article/128654cdcf1f4dda81974e31894f00a4
Publikováno v:
ARO-The Scientific Journal of Koya University, Vol 9, Iss 2 (2021)
Dialect recognition is one of the most attentive topics in the speech analysis area. Machine learning algorithms have been widely used to identify dialects. In this paper, a model that based on three different 1D Convolutional Neural Network (CNN) st
Externí odkaz:
https://doaj.org/article/8b16e549cbc7404ea3777568f7d10217
Publikováno v:
Shock and Vibration, Vol 2016 (2016)
Gear fault detection is one of the underlying research areas in the field of condition monitoring of rotating machines. Many methods have been proposed as an approach. One of the major tasks to obtain the best fault detection is to examine what type
Externí odkaz:
https://doaj.org/article/847bd539aaa240b4b73abf2eb359080a
Publikováno v:
ARO-The Scientific Journal of Koya University, Vol 9, Iss 2 (2021)
Dialect recognition is one of the most attentive topics in the speech analysis area. Machine learning algorithms have been widely used to identify dialects. In this paper, a model that based on three different 1D Convolutional Neural Network (CNN) st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95a6b0f11db35db65b8cf21733aeb9b2
http://aro.koyauniversity.org/index.php/aro/article/view/837
http://aro.koyauniversity.org/index.php/aro/article/view/837
Publikováno v:
Shock and Vibration, Vol 2016 (2016)
Gear fault detection is one of the underlying research areas in the field of condition monitoring of rotating machines. Many methods have been proposed as an approach. One of the major tasks to obtain the best fault detection is to examine what type
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3387e74e7895fde03db797a59f3d538b
https://doaj.org/article/847bd539aaa240b4b73abf2eb359080a
https://doaj.org/article/847bd539aaa240b4b73abf2eb359080a
Autor:
Peshraw Ahmed Abdalla, Abdalbasit Mohammed Qadir, Omed Jamal Rashid, Karwan M. Hama Rawf, Ayub O Abdulrahman, Bashdar Abdalrahman Mohammed
Publikováno v:
International Journal of Electronics and Communications System, Vol 2, Iss 2, Pp 39-48 (2022)
The exponential growth of deep learning networks has enabled us to handle difficult tasks, even in the complex field of medicine with small datasets. In the sphere of treatment, they are particularly significant. To identify brain tumors, this resear
Externí odkaz:
https://doaj.org/article/d9ce1f7ab32741c1a1d1f6fe7b70f182