Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ratshih Sayed"'
Publikováno v:
IEEE Access, Vol 11, Pp 27546-27578 (2023)
This paper presents an extensive literature review on Binary Neural Network (BNN). BNN utilizes binary weights and activation function parameters to substitute the full-precision values. In digital implementations, BNN replaces the complex calculatio
Externí odkaz:
https://doaj.org/article/38317a327fe64f3196c3ad4ecd5ac9ad
Publikováno v:
IEEE Access, Vol 8, Pp 192155-192164 (2020)
This paper presents a novel framework that automates the creation of a trained-classifier integrated circuit from a dataset. The framework accepts a dataset in a comma-separated value format and performs several processing steps to create a trained m
Externí odkaz:
https://doaj.org/article/20891e9d82bb4e828562b46ba189dc8d
Autor:
Ratshih Sayed, Haytham Azmi
Publikováno v:
2019 6th International Conference on Advanced Control Circuits and Systems (ACCS) & 2019 5th International Conference on New Paradigms in Electronics & information Technology (PEIT).
FPGA-based implementation of tree-based classifiers has been a very promising approach due to the ability of FPGA to execute tasks in parallel, which speeds up the processing tasks and saves power. The challenge with FPGA implementation is the need t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f3d1282e6cfd4f001346ef2733784ef
https://doi.org/10.1109/accs-peit48329.2019.9062867
https://doi.org/10.1109/accs-peit48329.2019.9062867