Prof. William Okelo-Odongo
PhD Computer Science (Essex), MSc Elect Eng (Stanford)
Email: wokelo@uonbi.ac.ke
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Ayienga EM, Opiyo ET, Odongo WO, Manderick B.
"
Dynamic Channel Sharing Strategies through Game-theoretic Reinforcement Learning
.". 2014.
Abstract
n/a
Ayienga E, Opiyo E, William Okelo-Odongo, Manderick B.
"
Game Theory and Learning at the Medium Access Control Layer for Distributed Radio Resource Sharing in Random Access Wireless Networks
.". 2013.
Abstract
n/a
Ayienga E, Opiyo E, Manderick B, Okello-Odongo W, Nowe A.
Multiagent Systems for Grid Network Resource Allocation with Quality of Service guarantees
. 1st Annual International Conference and Workshop on Sustainable ICT Capacity in Developing Countries. August 9-12, 2005, pp. 181-186, Makerere University Kampala, Uganda; 2005.
Abstract
n/a
Ayienga EM.
"
Using Multi-Agent Systems for Efficient Network Resource Allocation with Quality of Service Guarantees in Computational GRIDs
.". In:
International ICT Workshop 2004 On Application of ICT in enhancing Higher Learning Education, pp 124-138.
VLIR; 2004.
Ayienga E, Opiyo E Manderick B GO-ONKWA.
"
Using Multi-Agent Systems for Efficient Network Resource Allocation with Quality of Service Guarantees in Computational Grids
.". 2004.
Abstract
n/a
UoN Websites Search
CCI504:Intelligent Systems Modelling
CSC216: Assembly Language Programming
CSC326:Compiler Construction
CSC411: Computer Network Security
ICS610:Computer Architectures
ICS636: Wireless Networks and Technologies
ICS831: Computer Network Performance
ICS833: Network Design
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Recent Publications
Extension Officers Requirements in an Artificial Intelligent System for Diagnosis of Maize Disease, Kenya
Farmers Requirements in an Artificial Intelligent System for Diagnosis of Maize Diseases in Kenya
A Hierarchical Multilayer Service Composition Model for Global Virtual Organizations
Adoption of Enterprise Resource Planning Systems in Kenya: A Case of Selected Manufacturing Firms in Nairobi Metropolitan
Dynamic Channel Sharing Strategies through Game-theoretic Reinforcement Learning
Game Theoretic Multi-Agent Algorithms for the Job Shop Scheduling Problem
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