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ORCIDKwabena Doku-Amponsah
Person information
- affiliation: University of Ghana
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2020 – today
- 2021
[j2]Louis Asiedu
, Bernard O. Essah, Samuel Iddi, Kwabena Doku-Amponsah, Felix Okoe Mettle:
Evaluation of the DWT-PCA/SVD Recognition Algorithm on Reconstructed Frontal Face Images. J. Appl. Math. 2021: 5541522:1-5541522:8 (2021)- [i16]Enoch Sakyi-Yeboah, P. S. Andam, Louis Asiedu, Kwabena Doku-Amponsah:
Large Deviations and Information theory for Sub-Critical SINR Randon Network Models. CoRR abs/2104.03443 (2021) - [i15]A. K. Boahen, Kwabena Doku-Amponsah:
Large Large deviations for spatial telecommunication systems: The boolean model. CoRR abs/2108.11820 (2021) - 2020
- [j1]Dennis Arku, Kwabena Doku-Amponsah, Nathaniel K. Howard:
A Markov-modulated tree-based gradient boosting model for auto-insurance risk premium pricing. Risk Decis. Anal. 8(1-2): 1-13 (2020) - [i14]Enoch Sakyi-Yeboah, Charles Kwofie, Kwabena Doku-Amponsah:
Large Deviation Principle for Empirical SINR Measure of Critical Telecommunication Networks. CoRR abs/2005.05165 (2020) - [i13]Enoch Sakyi-Yeboah, P. S. Andam, Louis Asiedu, Kwabena Doku-Amponsah:
Large Deviations, Sharron-McMillan-Breiman Theorem for Super-Critical Telecommunication Networks. CoRR abs/2011.04479 (2020)
2010 – 2019
- 2019
- [i12]Enoch Sakyi-Yeboah, Kwabena Doku-Amponsah:
Local Large Deviation Principle, Large Deviation Principle for the Signal -to- Interference and Noise Ratio Graph Models. CoRR abs/1909.04529 (2019) - 2018
- [i11]Kwabena Doku-Amponsah:
Large deviation principles for empirical measures of the multitype random networks. CoRR abs/1803.08865 (2018) - 2017
- [i10]Kwabena Doku-Amponsah:
Lossy Asymptotic Equipartition property for Wireless Sensor Networks. CoRR abs/1704.00243 (2017) - [i9]Kwabena Doku-Amponsah:
Local Large Deviations, McMillian Theorem for multitype Galton-Watson Processes. CoRR abs/1705.09967 (2017) - [i8]Kwabena Doku-Amponsah:
Local Large deviation: A McMillian Theorem for Coloured Random Graph Processes. CoRR abs/1707.01978 (2017) - [i7]Kwabena Doku-Amponsah:
Local Large deviations for empirical locality measure of typed Random Graph Models. CoRR abs/1708.03895 (2017) - [i6]U. Ibrahim, A. Lotsi, Kwabena Doku-Amponsah:
Joint Large Deviation principle for empirical measures of the d-regular random graphs. CoRR abs/1711.05028 (2017) - 2016
- [i5]Kwabena Doku-Amponsah:
Lossy Asymptotic Equipartition property for Hierarchical Data Structures. CoRR abs/1608.04154 (2016) - [i4]Kwabena Doku-Amponsah:
Lossy Asymptotic Equipartition property for Networked Data Structures. CoRR abs/1609.05252 (2016) - 2015
- [i3]Kwabena Doku-Amponsah:
Large deviation, Basic Information Theory for Wireless Sensor Networks. CoRR abs/1512.08050 (2015) - 2013
- [i2]Kwabena Doku-Amponsah:
Basic information theory for fitness preferential attachment random networks Via Large deviations. CoRR abs/1312.1053 (2013) - 2010
- [i1]Kwabena Doku-Amponsah:
Asymptotic Equipartition Properties for simple hierarchical and networked structures. CoRR abs/1006.2523 (2010)
2000 – 2009
- 2006
- [b1]Kwabena Doku-Amponsah:
Large deviations and basic information theory for hierarchical and networked data structures. University of Bath, UK, 2006
Coauthor Index
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