Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ahmed M. Abdelhameed"'
Autor:
Walaa A. Bedewy, Mosaad S. Mohamed, Ahmed M. Abdelhameed, Mohamed A. Elsawy, Mohammed Al-Muhur, Noriyuki Ashida, Ashraf N Abdalla, Tamer A. Elwaie, Tomohisa Nagamatsu, Hamed I. Ali
Publikováno v:
Journal of Enzyme Inhibition and Medicinal Chemistry, Vol 38, Iss 1 (2023)
Novel 5-deazaflavins were designed as potential anticancer candidates. Compounds 4j, 4k, 5b, 5i, and 9f demonstrated high cytotoxicity against MCF-7 cell line with IC50 of 0.5–190nM. Compounds 8c and 9g showed preferential activity against Hela cel
Externí odkaz:
https://doaj.org/article/3ccb7b98f09f4334a648b495c54b1ef0
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Soil moisture (SM) plays a significant role in determining the probability of flooding in a given area. Currently, SM is most commonly modeled using physically-based numerical hydrologic models. Modeling the natural processes that take place in the s
Externí odkaz:
https://doaj.org/article/4a421c27f66f4622b8e77b12b1dea527
Autor:
Magdy Bayoumi, Ahmed M. Abdelhameed
Publikováno v:
IEEE Signal Processing Letters. 26:1922-1926
In the past few decades, measuring and recording the brain electrical activities using Electroencephalogram (EEG) has become a standout amongst the tools utilized for neurological disorders’ diagnosis, especially seizure detection. In this letter,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59149632be53ba7974478762c6abc22b
https://doi.org/10.1109/lsp.2019.2953870
https://doi.org/10.1109/lsp.2019.2953870
Autor:
Ahmed M. Abdelhameed, Magdy Bayoumi
Publikováno v:
ISCAS
Predicting epilepsy ahead of its occurrence has been an arduous job for scientists for a long time. Epileptic patients are still endeavoring to find a prosperous way to evade seizures to improve the quality of their lives. In this paper, we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78c410d6fb7fdfab142a2bffa89e245e
https://doi.org/10.1109/iscas51556.2021.9401347
https://doi.org/10.1109/iscas51556.2021.9401347
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Frontiers in Artificial Intelligence
Frontiers in Artificial Intelligence
Soil moisture (SM) plays a significant role in determining the probability of flooding in a given area. Currently, SM is most commonly modeled using physically-based numerical hydrologic models. Modeling the natural processes that take place in the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d3273b70c18a5be5274a58df517ac1b
https://pubmed.ncbi.nlm.nih.gov/33748748
https://pubmed.ncbi.nlm.nih.gov/33748748
Autor:
Ahmed M. Abdelhameed, Magdy Bayoumi
Publikováno v:
ICMLA
The advance prediction of seizures before its onset has been a challenging task for scientists for a long time. It is still the epileptic patients' hope to find an effective way of preventing seizures to improve the quality of their lives. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5f3c5897767509b18749e96eb680b95
https://doi.org/10.1109/icmla.2018.00191
https://doi.org/10.1109/icmla.2018.00191
Publikováno v:
SiPS
Monitoring and recording brain activities using Electroencephalograms (EEGs) has become the foremost wide applied tool by physicians for epilepsy diagnosis due to viable reasons like its availability, simplicity, and low cost. In this paper, we propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19005a9211c9d4fb908cebe12e805245
https://doi.org/10.1109/sips.2018.8598447
https://doi.org/10.1109/sips.2018.8598447
Publikováno v:
MWSCAS
Analysis of Electroencephalogram (EEG) records acquired from the brain is considered the easiest and a powerful tool in diagnosis the neurological disorders that are related to the electrical activities of the brain like epilepsy. In this paper, we p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21e48897c68e3673ba83bbab119bbb30
https://doi.org/10.1109/mwscas.2018.8623883
https://doi.org/10.1109/mwscas.2018.8623883
Publikováno v:
NEWCAS
Recording the brain electrical activities using Electroencephalogram (EEG) has become the most widely applied tool by physicians for the diagnosis of neurological disorders. In this paper, we propose an automatic epileptic seizure detection system ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03965d3904febe6b420ed913d5486393
https://doi.org/10.1109/newcas.2018.8585542
https://doi.org/10.1109/newcas.2018.8585542
Publikováno v:
2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA).
Electroencephalogram (EEG) used to record the electrical activity of the brain is a standout amongst the most helpful tools which are utilized in the diagnosis of neurological disorders. In this paper, we propose two classification methods for automa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faa9332430e86bca5e27882da386dd42
https://doi.org/10.1109/cspa.2018.8368709
https://doi.org/10.1109/cspa.2018.8368709