Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Saleem, M. R."'
Autor:
ALI T. SHAHEEN, SALEEM M. R. TAHA
Publikováno v:
Journal of Engineering Science and Technology, Vol 13, Iss 5, Pp 1299-1314 (2018)
Sub-threshold operation has received a lot of attention in limited performance applications.However, energy optimization of sub-threshold circuits should be performed with the concern of the performance limitation of such circuit. In this paper, a du
Externí odkaz:
https://doaj.org/article/53ba2bd225af467d9fee01356d5bc23c
Publikováno v:
Journal of Engineering, Vol 12, Iss 01 (2006)
This paper introduces a new model-free identification methodology to detect and identify speakers and recognize them. The basic module of the methodology is a novel multi-dimensional wavelet neural network. The WNN approach include: a universal appro
Externí odkaz:
https://doaj.org/article/8adfe1ee06a845d5a09309512f39393a
Autor:
Sufyan T. Fara, Saleem M. R. Tah
Publikováno v:
Journal of Engineering, Vol 8, Iss 03 (2003)
In this work, a protocol converter had been designed using formal methods in order to make a controlling station that supports ADLP 80 (ASEA) protocol stanclard able to communicate with a controlled station that utilizls another communication protoco
Externí odkaz:
https://doaj.org/article/e9d61de4f2fd4d3e80d3703d83c56271
Autor:
Saleem M. R. Taha, Ali T. Shaheen
Publikováno v:
International Journal of VLSI Design & Communication Systems. 7:01-16
Increased downscaling of CMOS circuits with respect to feature size and threshold voltage has a result of dramatically increasing in leakage current. So, leakage power reduction is an important design issue for active and standby modes as long as the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8bd499c55b499db22196a372c2fde6b
https://doi.org/10.5121/vlsic.2016.7601
https://doi.org/10.5121/vlsic.2016.7601
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 8/28/2021, Issue XLVI-M-1, p653-660, 8p
Publikováno v:
International Journal of Computer Applications. 128:11-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6b798aefdbc6aeac3303970c160260f
https://doi.org/10.5120/ijca2015906513
https://doi.org/10.5120/ijca2015906513
Autor:
Saif H. Abdulnabi, Saleem M. R. Taha
Publikováno v:
International Journal of Computer Applications. 116:24-28
Multi-Carrier Code Division Multiple Access (MC-CDMA) is considered as one of the major techniques used in 4G broadband wireless services. It combines the advantages of the OFDM systems, of robustness to the multi path effects, and the advantages of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e80e5e911c4f452cb1bee53a71963d7
https://doi.org/10.5120/20324-2427
https://doi.org/10.5120/20324-2427
Autor:
Saleem M. R. Taha
Publikováno v:
International Journal of Computer Applications. 93:26-31
logic synthesis techniques will definitely be a necessary part of the long-term future of computing. The paper introduces the design of a new reversible logic module (RLM) with three versions I, II, and III. It is universal in two arguments. A propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::422716d3579f63191108eb65a6f211ca
https://doi.org/10.5120/16252-5857
https://doi.org/10.5120/16252-5857
Autor:
Zahraa K. Taha, Saleem M. R. Taha
Publikováno v:
International Journal of Computer Applications. 92:23-30
this paper, electroencephalographic (EEG) signals are analyzed and classified based on a new multilevel transfer function quantum wavelet neural network (QWNN) model. The independent component analysis (ICA) is used as processing after normalization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ca666e823b4db6c2f2158fb48ecf84d
https://doi.org/10.5120/16005-5008
https://doi.org/10.5120/16005-5008
Autor:
Saleem M. R. Taha, Abbas K. Nawar
Publikováno v:
International Journal of Computer Applications. 85:7-11
this paper, a new model of multi-level transfer function radial wavelet neural network using quantum computing is achieved. This model is applied to analyze and classify the electroencephalographic (EEG) signals. The independent component analysis (I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9176304444ab42200698b0ab90c87ffc
https://doi.org/10.5120/14851-3216
https://doi.org/10.5120/14851-3216