Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Khadeer Ahmed"'
Autor:
Aqsa Habib, Mansoureh Nazari V., Muhammad Adnan Iqbal, Haq Nawaz Bhatti, M.B. Khadeer Ahmed, A.M.S. Abdul Majid
Publikováno v:
Journal of Saudi Chemical Society, Vol 23, Iss 7, Pp 795-808 (2019)
The promising biomedical applications of silver complexes stimulated the researchers to test these compounds against cancer. The present research work was designed to achieve this goal. In this work, a series of 5-methyl benzimidazole based N-Heteroc
Externí odkaz:
https://doaj.org/article/90181d54027e42c2a99096ebb68ca89b
Autor:
Haq Nawaz Bhatti, Aqsa Habib, V Mansoureh Nazari, Muhammad Iqbal, M.B. Khadeer Ahmed, Abdul Majid
Publikováno v:
Journal of Saudi Chemical Society, Vol 23, Iss 7, Pp 795-808 (2019)
The promising biomedical applications of silver complexes stimulated the researchers to test these compounds against cancer. The present research work was designed to achieve this goal. In this work, a series of 5-methyl benzimidazole based N-Heteroc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a3581ea61dcda6946876fc98306b55e
https://doi.org/10.1016/j.jscs.2019.03.002
https://doi.org/10.1016/j.jscs.2019.03.002
Autor:
Qinru Qiu, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Amar Shrestha, Adam Moody, Brian Van Essen
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8:782-795
Due to the distributed and asynchronous nature of neural computation through low-energy spikes, brain-inspired hardware systems offer high energy efficiency and massive parallelism. One such platform is the IBM TrueNorth neurosynaptic system. Recentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f32955f31c0febf5eda63226349593ba
https://doi.org/10.1109/jetcas.2018.2856117
https://doi.org/10.1109/jetcas.2018.2856117
Autor:
Khadeer Ahmed
Publikováno v:
Biomimetics ISBN: 9781839621703
Brain is a very efficient computing system. It performs very complex tasks while occupying about 2 liters of volume and consuming very little energy. The computation tasks are performed by special cells in the brain called neurons. They compute using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e8d3b324f6802b2801a15ea88f37b2b
http://www.intechopen.com/articles/show/title/brain-inspired-spiking-neural-networks
http://www.intechopen.com/articles/show/title/brain-inspired-spiking-neural-networks
Autor:
Samad, Nozlena Abdul, Asif, Muhammad, Tabana, Yasser M, Khadeer Ahmed, Mohamed B, Abdul Majid, Aman Shah, Majid, Amin Malik Shah Abdul
Publikováno v:
Tropical Journal of Pharmaceutical Research; Vol 17, No 6 (2018); 1087-1094
Purpose: To investigate the anti-angiogenic activity of a methanol leaf extract of Labisia pumila (ME), and its bioactive water fraction (WF), using in vitro models.Methods: The antioxidant activity and total phenolic contents of ME and WF were asses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=78975075580c::199123bbe2b54744cca4d266244f0b52
https://www.ajol.info/index.php/tjpr/article/view/174330
https://www.ajol.info/index.php/tjpr/article/view/174330
Publikováno v:
Journal of Signal Processing Systems. 84:355-369
Although existing optical character recognition (OCR) tools can achieve excellent performance in text image detection and pattern recognition, they usually require a clean input image. Most of them do not perform well when the image is partially occl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6522a8f4e683e44807d62ae578a1bfbe
https://doi.org/10.1007/s11265-015-1067-4
https://doi.org/10.1007/s11265-015-1067-4
Autor:
Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu
Publikováno v:
2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3298c2d042f398481960c179473a2c40
https://doi.org/10.1109/iccad.2017.8203836
https://doi.org/10.1109/iccad.2017.8203836
Publikováno v:
IJCNN
Spike-Timing Dependent Plasticity (STDP), the canonical learning rule for spiking neural networks (SNN), is gaining tremendous interest because of its simplicity, efficiency and biological plausibility. However, to date, multilayer feed-forward netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bad75dce38d478d5fdefe0de2abb6ab
https://doi.org/10.1109/ijcnn.2017.7966096
https://doi.org/10.1109/ijcnn.2017.7966096
Publikováno v:
HPEC
With the proliferation of application specific accelerators, the use of heterogeneous clusters is rapidly increasing. Consisting of processors with different architectures, a heterogeneous cluster aims at providing different performance and cost trad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f83fde5ae71ccb9bf3aea47dce71a22
https://doi.org/10.1109/hpec.2016.7761598
https://doi.org/10.1109/hpec.2016.7761598
Publikováno v:
IJCNN
Spiking neural networks are rapidly gaining popularity for their ability to perform efficient computation akin to the way a brain processes information. It has the potential to achieve low cost and high energy efficiency due to the distributed nature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaac0ee7108c2bcea016b5c864e3b9c1
https://doi.org/10.1109/ijcnn.2016.7727759
https://doi.org/10.1109/ijcnn.2016.7727759