Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mohammad M. A. Taha"'
Autor:
Ahmad Taha, Basel Barakat, Mohammad M. A. Taha, Mahmoud A. Shawky, Chun Sing Lai, Sajjad Hussain, Muhammad Zainul Abideen, Qammer H. Abbasi
Publikováno v:
Future Internet, Vol 15, Iss 4, p 134 (2023)
Accurately looking into the future was a significantly major challenge prior to the era of big data, but with rapid advancements in the Internet of Things (IoT), Artificial Intelligence (AI), and the data availability around us, this has become relat
Externí odkaz:
https://doaj.org/article/08f25c190f804fe2972de04390bae8e2
Publikováno v:
Benha Journal of Applied Sciences. 6:279-284
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09aab961a14c18a191620e139527d10f
https://doi.org/10.21608/bjas.2021.169127
https://doi.org/10.21608/bjas.2021.169127
Publikováno v:
Revue d'Intelligence Artificielle. 34:233-241
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2760bf86b17fa7c0a4b920ce475131a4
https://doi.org/10.18280/ria.340301
https://doi.org/10.18280/ria.340301
Autor:
Mohammad M. A. Taha, Christof Teuscher
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 16:1-14
Hamming Distance (HD) is a popular similarity measure that is used widely in pattern matching applications, DNA sequencing, and binary error-correcting codes. In this article, we extend our previous work to prove that our HD circuit is scalable, tole
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f427c0abdaba3ce133d3085e7c29af42
https://doi.org/10.1145/3371391
https://doi.org/10.1145/3371391
Publikováno v:
Revue d'Intelligence Artificielle. 34:1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b14ac20ac9ed83be769d70aa88a7d30
https://doi.org/10.18280/ria.340101
https://doi.org/10.18280/ria.340101
Autor:
Marek Perkowski, Mohammad M. A. Taha
Publikováno v:
ISMVL
This paper presents new arithmetic operators based on frequency signal representation. The results obtained when testing/simulating the arithmetic operators circuits with ModelSim PE student 10.4a are also shown. Such operations are similar but not t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3713d70d05951c7d6838756ba38768b
https://doi.org/10.1109/ismvl.2018.00045
https://doi.org/10.1109/ismvl.2018.00045
Autor:
Mohammad M. A. Taha, Christof Teuscher
Publikováno v:
NANOARCH
Although Bayesian inference enhances intelligent probabilistic computing systems, it is computationally expensive and not efficient to implement on traditional von Neumann architectures. In this paper we propose a simple and novel way to implement ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb7bc06e280f5efa8ff96ec819d7da89
https://doi.org/10.1109/nanoarch.2017.8053732
https://doi.org/10.1109/nanoarch.2017.8053732
Publikováno v:
NANOARCH
The popularity of memristors has led to a wide range of models being proposed for both physically realized devices and their concepts in general. These models have been fit to specific devices, but the resulting device models are not often discussed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d39f93139682e19ec66ec53a4cf79065
https://doi.org/10.1109/nanoarch.2015.7180595
https://doi.org/10.1109/nanoarch.2015.7180595
Autor:
Mohammad M. A. Taha, Wim J.C. Melis
Publikováno v:
NANOARCH
Most brain-like computing systems build up from neural networks. While there are some essential problems with this approach, it is well-known that the brain functionally operates as an associative memory. Building associative memories using conventio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94936a87496fd5f4d85dbac7d7225792
https://doi.org/10.1109/nanoarch.2015.7180593
https://doi.org/10.1109/nanoarch.2015.7180593
