Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Mohammed A. Farag"'
Publikováno v:
AMB Express, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Mycotoxins (MTs) are secondary toxic metabolites that can contaminate food, impacting quality and safety, leading to various negative health effects and serious pathological consequences conferring urgent need to evaluate and validate the cu
Externí odkaz:
https://doaj.org/article/d67d69063e3c47b48560b0e4f8a1fce6
Autor:
Mohammed Said Farag
Publikováno v:
Port Said Engineering Research Journal, Vol 27, Iss 1, Pp 79-86 (2023)
Decreasing the emission pollution linked with petrol combustion is gaining a great interest world-wide. Lately, HHO has been inserted to internal combustion engines as a novel clean source of energy. The effect of different HHO addition into intake m
Externí odkaz:
https://doaj.org/article/3bcae227890741fdae95c447d46dc69d
Autor:
Mohammed Said Farag
Publikováno v:
JES: Journal of Engineering Sciences, Vol 51, Iss 2, Pp 37-52 (2023)
At the present time, the energy crisis, climate and air pollution represent major global problems in addition to the high prices of fossil fuel and vegetable oils. These problems were increased with the current global conflicts which have led to an i
Externí odkaz:
https://doaj.org/article/84355d5555844125acb58bd6756e5ede
Autor:
Mohammed M. Farag
Publikováno v:
IEEE Access, Vol 11, Pp 27641-27661 (2023)
Convolutional layers (CLs) are ubiquitous in contemporary deep neural network (DNN) models, commonly used for automatic feature extraction. A CL performs cross-correlation between the input to the layer and a set of learnable kernels to produce the l
Externí odkaz:
https://doaj.org/article/f77ae5be6dd343738d8ec7b11c6bb7c1
Autor:
Mohammed M. Farag, Khaled E. Ahmed
Publikováno v:
IEEE Access, Vol 10, Pp 28206-28218 (2022)
Network-on-chips (NoCs) are the dominant interconnection technique in modern system-on-chips (SoCs). The medium access technique used in the physical layer of NoC routers profoundly impacts the performance and footprint of the router. Code division m
Externí odkaz:
https://doaj.org/article/8b6e85cad58f41f38e8ffb60b55de9c4
Autor:
Mohammed M. Farag
Publikováno v:
IEEE Access, Vol 10, Pp 94469-94486 (2022)
Automated classification of Electrocardiogram (ECG) for arrhythmia monitoring is the core of cardiovascular disease diagnosis. Machine Learning (ML) is widely used for arrhythmia detection. The cloud-based inference is the prevailing deployment model
Externí odkaz:
https://doaj.org/article/d62958c98511457a9b5ae0bc9ccb29b6
Autor:
Mohammed M. Farag
Publikováno v:
Sensors, Vol 23, Iss 3, p 1365 (2023)
Automated electrocardiogram (ECG) classification using machine learning (ML) is extensively utilized for arrhythmia detection. Contemporary ML algorithms are typically deployed on the cloud, which may not always meet the availability and privacy requ
Externí odkaz:
https://doaj.org/article/d000d3eeb81941e590191c53cf0e7345
Autor:
Mohammed M. Farag
Publikováno v:
Sensors, Vol 22, Iss 20, p 8060 (2022)
Time series classification is an active research topic due to its wide range of applications and the proliferation of sensory data. Convolutional neural networks (CNNs) are ubiquitous in modern machine learning (ML) models. In this work, we present a
Externí odkaz:
https://doaj.org/article/e98c0d335a2741f3bb7939f6272de1da
Autor:
Mohammed Said Farag
Publikováno v:
Fayoum University Journal of Engineering. 6:47-61
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d24ea2ea27078757d4e76ff55ea72338
https://doi.org/10.21608/fuje.2022.166353.1021
https://doi.org/10.21608/fuje.2022.166353.1021
Autor:
Mohammed Said Farag
Publikováno v:
Fayoum University Journal of Engineering. 6:62-78
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b61630913b2158044bc2c4f897ae064
https://doi.org/10.21608/fuje.2022.166355.1022
https://doi.org/10.21608/fuje.2022.166355.1022