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Kwabena Doku-Amponsah

Affiliations:
  • University of Ghana


According to our database1, Kwabena Doku-Amponsah authored at least 19 papers between 2006 and 2021.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2021
Evaluation of the DWT-PCA/SVD Recognition Algorithm on Reconstructed Frontal Face Images.
[BibTeX]
[DOI]
Louis Asiedu
,
Bernard O. Essah
,
Samuel Iddi
,
Kwabena Doku-Amponsah
,
Felix Okoe Mettle
J. Appl. Math., 2021

Large Large deviations for spatial telecommunication systems: The boolean model.
[BibTeX]
[DOI]
A. K. Boahen
,
Kwabena Doku-Amponsah
CoRR, 2021

Large Deviations and Information theory for Sub-Critical SINR Randon Network Models.
[BibTeX]
[DOI]
Enoch Sakyi-Yeboah
,
P. S. Andam
,
Louis Asiedu
,
Kwabena Doku-Amponsah
CoRR, 2021

2020
A Markov-modulated tree-based gradient boosting model for auto-insurance risk premium pricing.
[BibTeX]
[DOI]
Dennis Arku
,
Kwabena Doku-Amponsah
,
Nathaniel K. Howard
Risk Decis. Anal., 2020

Large Deviations, Sharron-McMillan-Breiman Theorem for Super-Critical Telecommunication Networks.
[BibTeX]
[DOI]
Enoch Sakyi-Yeboah
,
P. S. Andam
,
Louis Asiedu
,
Kwabena Doku-Amponsah
CoRR, 2020

Large Deviation Principle for Empirical SINR Measure of Critical Telecommunication Networks.
[BibTeX]
[DOI]
Enoch Sakyi-Yeboah
,
Charles Kwofie
,
Kwabena Doku-Amponsah
CoRR, 2020

2019
Local Large Deviation Principle, Large Deviation Principle for the Signal -to- Interference and Noise Ratio Graph Models.
[BibTeX]
[DOI]
Enoch Sakyi-Yeboah
,
Kwabena Doku-Amponsah
CoRR, 2019

2018
Large deviation principles for empirical measures of the multitype random networks.
[BibTeX]
[DOI]
Kwabena Doku-Amponsah
CoRR, 2018

2017
Joint Large Deviation principle for empirical measures of the d-regular random graphs.
[BibTeX]
[DOI]
U. Ibrahim
,
A. Lotsi
,
Kwabena Doku-Amponsah
CoRR, 2017

Local Large deviations for empirical locality measure of typed Random Graph Models.
[BibTeX]
[DOI]
Kwabena Doku-Amponsah
CoRR, 2017

Local Large deviation: A McMillian Theorem for Coloured Random Graph Processes.
[BibTeX]
[DOI]
Kwabena Doku-Amponsah
CoRR, 2017

Local Large Deviations, McMillian Theorem for multitype Galton-Watson Processes.
[BibTeX]
[DOI]
Kwabena Doku-Amponsah
CoRR, 2017

Lossy Asymptotic Equipartition property for Wireless Sensor Networks.
[BibTeX]
[DOI]
Kwabena Doku-Amponsah
CoRR, 2017

2016
Lossy Asymptotic Equipartition property for Networked Data Structures.
[BibTeX]
[DOI]
Kwabena Doku-Amponsah
CoRR, 2016

Lossy Asymptotic Equipartition property for Hierarchical Data Structures.
[BibTeX]
[DOI]
Kwabena Doku-Amponsah
CoRR, 2016

2015
Large deviation, Basic Information Theory for Wireless Sensor Networks.
[BibTeX]
[DOI]
Kwabena Doku-Amponsah
CoRR, 2015

2013
Basic information theory for fitness preferential attachment random networks Via Large deviations.
[BibTeX]
[DOI]
Kwabena Doku-Amponsah
CoRR, 2013

2010
Asymptotic Equipartition Properties for simple hierarchical and networked structures
[BibTeX]
[DOI]
Kwabena Doku-Amponsah
CoRR, 2010

2006
Large deviations and basic information theory for hierarchical and networked data structures.
[BibTeX]
[DOI]
Kwabena Doku-Amponsah
PhD thesis, 2006


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