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pro vyhledávání: '"Muntasir Mohammad"'
Autor:
Wasan Kadhim Saad, Ibraheem Shayea, Abdulraqeb Alhammadi, Muntasir Mohammad Sheikh, Ayman A. El-Saleh
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 42, Iss , Pp 101418- (2023)
The need for load balancing will be more significant in fifth generation mobile network and beyond due to the massive upsurge in the quantity of users and rising use of small cell sizes. The load balancing function must be efficiently designed to dis
Externí odkaz:
https://doaj.org/article/19c9d9c5396349a2b5ce6709ec30fda4
Autor:
Imranul Ashrafi, Muntasir Mohammad, Arani Shawkat Mauree, Galib Md. Azraf Nijhum, Redwanul Karim, Nabeel Mohammed, Sifat Momen
Publikováno v:
IEEE Access, Vol 8, Pp 58206-58226 (2020)
Named Entity Recognition (NER) is a task in Natural Language Processing (NLP) that aims to classify words into a predetermined list of Named Entities (NE). Many architectures have produced good results on high resourced languages like English and Chi
Externí odkaz:
https://doaj.org/article/b690e7e86e8f4138960c217c6f3b0299
Autor:
Saad, Wasan Kadhim, Shayea, Ibraheem, Alhammadi, Abdulraqeb, Sheikh, Muntasir Mohammad, El-Saleh, Ayman A.
Publikováno v:
In Engineering Science and Technology, an International Journal June 2023 42
Autor:
Sheikh, Muntasir Mohammad
In many applications it is necessary to determine coupling from a line current source to a nearby wire. Applications include current coupling in high-speed interconnects and wire interaction with a charged particle beam. A common physical configurati
Externí odkaz:
http://hdl.handle.net/10150/284935
Publikováno v:
Proceedings of the 2019 7th International Conference on Computer and Communications Management.
Few-shot Learning is an object categorization problem where the classifier attempts to distinguish new classes with very few labeled examples. There has been significant progress in this field, which includes complex network architectures. Most of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc613f22bae277674f714b8909abe3d7
https://doi.org/10.1145/3348445.3348481
https://doi.org/10.1145/3348445.3348481
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