Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Abdulqadir Ismail Abdullah"'
Publikováno v:
Zanco Journal of Pure and Applied Sciences, Vol 34, Iss 5 (2022)
The pandemic of coronavirus COVID-19 has created a great danger and concern for humanity. Many researchers have done different types of work in this area to provide medical services. In this paper, we proposed a smart Covid-19 diagnosis system by usi
Externí odkaz:
https://doaj.org/article/1e3cd63190754200a5816459e4b91f73
Autor:
Abdulqadir Ismail Abdullah
Publikováno v:
Zanco Journal of Pure and Applied Sciences, Vol 31, Iss 2, Pp 9-13 (2019)
Facial expression system has become an important and effective research area in many fields such as cognitive processes, medical care and interaction between man and computer. A facial expressions recognition system using each of FLDA with K-nearest
Externí odkaz:
https://doaj.org/article/e6255a24f42a4a9aac07d60f84447ef4
Autor:
Abdulqadir Ismail Abdullah
Publikováno v:
Zanco Journal of Pure and Applied Sciences, Vol 32, Iss 3 (2020)
Automated segmentation and the classification of brain cancer based on Magnetic Resonance Imaging (MRI) is a significant medical development of the last twenty years. Based on computer systems, there are several techniques developed for diagnosis, bu
Externí odkaz:
https://doaj.org/article/4f99ecd0e17d429ab5a49e700cc426b8
Autor:
Omar Gheni Abdulateef, Abdulqadir Ismail Abdullah, Saadaldeen Rashid Ahmed, Mahdi Salah Mahdi
Publikováno v:
2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2a9af88074c43f48d03d20b51115027
https://doi.org/10.1109/ismsit56059.2022.9932852
https://doi.org/10.1109/ismsit56059.2022.9932852
Autor:
Mokhtar Mohammadi, Ako Daraei, Arsalan Mahmoodzadeh, Nawzad K. Al-Salihi, Hunar Farid Hama Ali, Abdulqadir Ismail Abdullah
Publikováno v:
Neural Computing and Applications. 33:321-348
This research intends to use machine learning approaches to predict tunnel geology and its construction time and costs. For this purpose, the Gaussian Process Regression (GPR), Support Vector Regression (SVR), and Decision Tree (DT) have been utilize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ced33b0441b2613b650bda6855baf61d
https://doi.org/10.1007/s00521-020-05006-2
https://doi.org/10.1007/s00521-020-05006-2
Publikováno v:
Cihan University-Erbil Scientific Journal. 3:1-4
Bluetooth wireless communication technology has spread rapidly in the past 20 years. It has made life much easier with all the devices that use Bluetooth technology around us such as mobile phones, laptops, and watches. With all the good and useful a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b5cbf506cb78f8b12a3dbc47a003e70
https://doi.org/10.24086/cuesj.v3n2y2019.pp1-4
https://doi.org/10.24086/cuesj.v3n2y2019.pp1-4
Publikováno v:
International Journal on Advanced Science, Engineering and Information Technology. 10:959
Face Recognition is a well-known image analysis application in the branches of pattern recognition and computer vision. It utilizes the uniqueness of human facial characteristics for personnel identification and verification. For a long time, the rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::272d8c49c3392f2083ccd6778f2200fe
https://doi.org/10.18517/ijaseit.10.3.8247
https://doi.org/10.18517/ijaseit.10.3.8247
Autor:
Rasoul Anvari, Nabeel Ali Khan, Mokhtar Mohammadi, Amin Roshandel Kahoo, Abdulqadir Ismail Abdullah
Publikováno v:
Computers & Geosciences. 135:104376
Attenuation of noise in seismic data is a crucial and difficult task in analyzing seismic data. We propose a new noise suppression algorithm in which the noise can be suppressed; meanwhile, the seismic signal is preserved. In the proposed algorithm,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d66d075d9110b21fe07be91d5debddb
https://doi.org/10.1016/j.cageo.2019.104376
https://doi.org/10.1016/j.cageo.2019.104376