Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Solomon Abedom Tesfamicael"'
Publikováno v:
Education Sciences, Vol 13, Iss 5, p 501 (2023)
This paper aims to provide an understanding of effective professional development (PD) for mathematics teachers according to the context of South Sudan schools. Hunsicker’s (2011) checklist of effective PD was taken as a framework. The framework ha
Externí odkaz:
https://doaj.org/article/cf99265e7ddd462ca495fdaef4130f83
Publikováno v:
Education Sciences, Vol 13, Iss 2, p 114 (2023)
Existing initiatives in mathematics education demand establishing a continuous professional development program for teachers in Ethiopian schools. However, implementing such programs first requires an understanding of the school and district environm
Externí odkaz:
https://doaj.org/article/1382b95df227486d989d0cfc87da6ab1
Publikováno v:
Universal Journal of Educational Research
This paper provides a comparative study of mathematics textbooks as the primary construct via the Anthropological Theory of Didactics (ATD), which was founded by Yves Chevallard. The aim is to suggest principles that can be incorporated to improve th
Publikováno v:
The Contemporary Mathematics and Science Education (CONMATHSCED)
In the one hand, the world is not yet secured from COVID-19. On the other hand, educational planning is a continuous activity. The Federal Democratic Republic of Ethiopia is going to implement new curricula since 2021/22 academic year. So, what lesso
Publikováno v:
AFRICON
A new method of compressive sensing reconstruction is presented. The method assumes that the signal to be estimated is both sparse and clustered. These properties are modeled as a modified Laplacian prior in a Bayesian setting, resulting in two penal
Publikováno v:
UKSim
Compressive sensing (CS) is a new methodology to capture signals at lower rate than the Nyquist sampling rate when the signals are sparse or sparse in some domain. Studying the performance of such novel paradigm is an interesting subject. In this pap
Publikováno v:
UKSim
This paper provides clustered compressive sensing (CCS) based signal processing using Bayesian framework. Images like magnetic resonanse images (MRI) are usually very weak due to the presence of noise and due to the weak nature of the signal itself.
Autor:
Solomon Abedom Tesfamicael
Publikováno v:
International Journal of Information and Electronics Engineering. 4
Publikováno v:
VTC Fall
The sum capacity of a broadcast MIMO channel can be achieved sub-optimally using linear precoding techniques. Block diagonalization (BD) is a linear precoding technique that achieves near to the sum capacity with low complexity by nullifying the inte