Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Nemir Ahmed Al-Azzawi"'
Autor:
Slafa Ismael Ibrahim, Nemir Ahmed Al-Azzawi, Shatha Mizhir Hasan, Hussein H. Karim, Ammar M. M. Al-Qaissi, Ahmed Chyad Kadhim, Mehdi Munshid Shellal, Sinan Majid Abdul Satar, Wahid S. Mohammad, Assad Oda Jassim, Khalid salem Shibib, Karema Assi Hamad, Haqui Ismael Qatta, Hayder Hadi Abbas, Kanaan A. Jalal, Hussain Kassim Ahmad, Makram A. Fakhri, Mohanned M.H. AL-Khafaji, Hussam Lefta Alwan, Baraa M.H. Albaghdadi
Publikováno v:
Engineering and Technology Journal, Vol 32, Iss 5, Pp 1216-1226 (2014)
This work involves study corrosion behavior of amalgam in presence of some vegetables including (Carrots, Onion, Parsley, and Red radish) which were chosen because they require mastication process by teeth and taking enough time that make them in a c
Externí odkaz:
https://doaj.org/article/4c189d63bf0e47299ac9e1b83d69d831
Publikováno v:
Engineering and Technology Journal, Vol 32, Iss 5, Pp 1227-1239 (2014)
Botnet is a general term referring to a group of automated software robots that run without human intervention (malware code). Nowadays, Botnets produces a major threat to the cyber security (Information Assurance) of computing assets. Therefore, you
Externí odkaz:
https://doaj.org/article/c3d1241ae9024a57b04163ec7030f990
Autor:
Nemir Ahmed Al-Azzawi
Microscopic images are becoming important and need to be studied to know the details and how-to quantitatively evaluate decellularization. Most of the existing research focuses on deep learning-based techniques that lack simplification for decellular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0050066be7e538ec034f70f46933a6bd
https://zenodo.org/record/4895823
https://zenodo.org/record/4895823
Autor:
Nemir Ahmed Al-Azzawi
Publikováno v:
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE).
The hybrid deep learning model has become common in all recent studies dealing with machine vision and human action recognition. Most of the accuracy in revealing knowledge of machine vision is in extracting important features, including segmentation
Autor:
Nemir Ahmed Al-Azzawi
Publikováno v:
International Journal of Computer Applications. 182:21-25
Autor:
Nemir Ahmed Al-Azzawi
Publikováno v:
Pattern Recognition and Image Analysis. 28:393-399
In last years, various medical image fusion algorithms have been proposed to fuse medical image. But, most of them focus on fusing grayscale images. This paper proposes a qualified algorithm for the fusion of multimodal color medical images. The tech
Autor:
Nemir Ahmed Al-Azzawi
Publikováno v:
Proceedings of the International Conference on Information and Communication Technology.
Medical image data are important part of diagnoses in existing health care information systems. The medical image's document is a communication instrument that serves clinical decision, give medication, explanation, consultation, coordination of serv
Autor:
Nemir Ahmed Al-Azzawi
Publikováno v:
International Journal of Computer Applications. 125:7-12
image fusion is a technique that integrates complementary information from multimodality images. The fused image is more suitable for treatment plan strategies. In this paper, an efficient medical image fusion method has been proposed based on shearl
Autor:
Nemir Ahmed Al-Azzawi
Publikováno v:
International Journal of Computer Applications. 102:28-32
A new approach has been proposed to design of an automatic infant cry recognition system based on the fuzzy transform (F-transform) that classifies two different kinds of cries, which come from physiological status and medical disease. Feature extrac
Autor:
Nemir Ahmed Al-Azzawi
Publikováno v:
International Journal of Computer Applications. 71:1-6
Radiological images are gradually more being used in healthcare and medical research. There is, accordingly, widespread interest in accurately relating information in the different images for diagnosis, treatment and basic science. In this paper we f