Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mariam, Essam"'
Publikováno v:
IEEE Access, Vol 12, Pp 135241-135264 (2024)
In the field of natural language processing (NLP), natural language understanding (NLU) plays a critical role in transforming human languages into machine-interpretable formats. This paper provides an overview of methodologies and resources that have
Externí odkaz:
https://doaj.org/article/51c8976ad5254a3697a16361a3e3b622
Autor:
Iriny M. Ayoub, Mina Y. George, Esther T. Menze, Maryhan Mahmoud, Mariam Botros, Mariam Essam, Israa Ashmawy, Pussey Shendi, Andrew Hany, Mohammed Galal, Mohamed Ayman, Rola M. Labib
Publikováno v:
Food & Function. 13:2253-2268
The present study demonstrates the beneficial effects of Salvia microphylla and S. officinalis from Egypt and Jordan against scopolamine-induced AD-like disorder.
Autor:
Mohammed Elfatih Elbadri, Marina Victor, Randa Ibrahem, Aya Azhari, Mariam Essam, Ali Awadallah Saeed
Publikováno v:
Universal Journal of Pharmaceutical Research.
Background and objective: COVID-19 was first identified in December 2019. The outbreak of coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Organization Emergency Committee and originated in the Hubei Province of the Peo
Autor:
Khaled AbdelSalam, Samaa Hany, Doha ElHady, Mariam Essam, Omnia Mahmoud, Mariam Mohammed, Asmaa Samir, Ahmed Magdy
Publikováno v:
The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) ISBN: 9783031039171
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5b78fc76a6ab38bf4e3411bd163770d
https://doi.org/10.1007/978-3-031-03918-8_17
https://doi.org/10.1007/978-3-031-03918-8_17
Publikováno v:
ITSC
Detection of moving objects is a very important task in autonomous driving systems. After the perception phase, motion planning is typically performed in Bird's Eye View (BEV) space. This would require projection of objects detected on the image plan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41d16fd1d8bb524d84a5b39ef55c2331
http://arxiv.org/abs/2107.04937
http://arxiv.org/abs/2107.04937
Publikováno v:
2018 13th International Conference on Computer Engineering and Systems (ICCES).
Transfer learning is one approach that could be used to better train deep neural networks. It plays a key role in initializing a network in computer vision applications as opposed to implementing a network from scratch which could be time-consuming.