Henry Okola Nyongesa, PhD
Henry Okola Nyongesa, PhD
Professor of Computer Science and Systems Engineering; Academic and Technology Consultant
Verified email at dkut.ac.ke
Cited by
Cited by
Genetic algorithms for fuzzy control. 1. Offline system development and application
DA Linkens, HO Nyongesa
IEE Proceedings-Control Theory and Applications 142 (3), 161-176, 1995
Genetic algorithms for fuzzy control.2. Online system development and application
LD Arthur, HO Nyongesa
IEE Proceedings - Control Theory and Applications 142 (3), 177 – 185, 1995
Learning systems in intelligent control: an appraisal of fuzzy, neural and genetic algorithm control applications
DA Linkens, HO Nyongesa
IEE Proceedings-Control Theory and Applications 143 (4), 367-386, 1996
Context awareness in mobile computing: A review
GW Musumba, HO Nyongesa
International Journal of Machine Learning and Applications 2 (1), 5, 2013
Feature extraction and classification of electrocardiogram (ECG) signals related to hypoglycaemia
C Alexakis, HO Nyongesa, R Saatchi, ND Harris, C Davies, C Emery, ...
Computers in Cardiology, 2003, 537-540, 2003
Automatic fingerprint classification system using fuzzy neural techniques
SM Mohamed, H Nyongesa
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002
A hierarchical multivariable fuzzy controller for learning with genetic algorithms
DA Linkens, HO Nyongesa
International Journal of Control 63 (5), 865-883, 1996
Fast robust fingerprint feature extraction and classification
HO Nyongesa, S Al-Khayatt, SM Mohamed, M Mahmoud
Journal of Intelligent and Robotic Systems 40 (1), 103-112, 2004
Ensuring the security and privacy of information in mobile health-care communication systems
AO Adesina, KK Agbele, R Februarie, AP Abidoye, HO Nyongesa
South African Journal of Science 107 (9), 1-7, 2011
lCT and information security perspectives in E-Health systems
KK Agbele, H Nyongesa, AO Adesina
Journal of Mobile Communication, 2010
Detection of small changes in medical and random-dot images comparing self-organizing map performance to human detection
JM Wandeto, H Nyongesa, Y Rémond, B Dresp-Langley
Informatics in Medicine Unlocked 7, 39-45, 2017
Neural fuzzy analysis of delaminated composites from shearography imaging
HO Nyongesa, AW Otieno, PL Rosin
Composite structures 54 (2-3), 313-318, 2001
A distributed genetic algorithm for multivariable fuzzy control
DA Linkens, HO Nyongesa
IEE Colloquium on Genetic Algorithms for Control Systems Engineering, 9/1-9/3, 1993
Real-time acquisition of fuzzy rules using genetic algorithms
DA Linkens, HO Nyongesa
Artificial Intelligence in Real-Time Control 1992, 335-339, 1993
Genetic programming for anti-air missile proximity fuze delay-time algorithms
HO Nyongesa, S Kent, R O'keefe
IEEE Aerospace and Electronic Systems Magazine 16 (1), 41-45, 2001
Partner selection and performance evaluation framework for a construction-related virtual enterprise: a multi-agent systems approach
HO Nyongesa, GW Musumba, N Chileshe
Architectural Engineering and Design Management 13 (5), 344-364, 2017
Combining evolutionary, connectionist, and fuzzy classification algorithms for shape analysis
PL Rosin, HO Nyongesa
Workshops on Real-World Applications of Evolutionary Computation, 87-96, 2000
A real-time genetic algorithm for fuzzy control
DA Linkens, HO Nyongesa
Proceedings of the IEE Colloquium on Genetic Algorithms for Control and …, 1992
User modelling using evolutionary interactive reinforcement learning
HO Nyongesa, S Maleki-Dizaji
Information Retrieval 9 (3), 343-355, 2006
Using the quantization error from Self‐Organizing Map (SOM) output for fast detection of critical variations in image time series
B Dresp-Langley, JM Wandeto, HO Nyongesa
ISTE Ltd. London, UK–openscience. fr, 2018
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