Follow
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
Title
Cited by
Cited by
Year
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
337*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
2751996
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
2691995
Context awareness in mobile computing: A review
GW Musumba, HO Nyongesa
1282013
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
1262003
Using wearable sensors for remote healthcare monitoring system
AP Abidoye, NA Azeez, AO Adesina, KK Agbele, HO Nyongesa
Scientific Research, 2011
852011
Automatic fingerprint classification system using fuzzy neural techniques
SM Mohamed, H Nyongesa
2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002
642002
A hierarchical multivariable fuzzy controller for learning with genetic algorithms
DA Linkens, HO Nyongesa
International Journal of Control 63 (5), 865-883, 1996
521996
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
492011
Fast robust fingerprint feature extraction and classification
HO Nyongesa, S Al-Khayatt, SM Mohamed, M Mahmoud
Journal of Intelligent and Robotic Systems 40, 103-112, 2004
472004
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
352017
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
272017
lCT and information security perspectives in E-Health systems
KK Agbele, H Nyongesa, AO Adesina
Journal of Mobile Communication, 2010
272010
Neural fuzzy analysis of delaminated composites from shearography imaging
HO Nyongesa, AW Otieno, PL Rosin
Composite structures 54 (2-3), 313-318, 2001
272001
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
271993
Real-time acquisition of fuzzy rules using genetic algorithms
DA Linkens, HO Nyongesa
Artificial Intelligence in Real-Time Control 1992, 335-339, 1993
271993
Detection of smallest changes in complex images comparing self-organizing map to expert performance
J Wandeto, H Nyongesa, B Dresp
Perception, 2017
242017
A real-time genetic algorithm for fuzzy control
DA Linkens, HO Nyongesa
Proceedings of the IEE Colloquium on Genetic Algorithms for Control and …, 1992
201992
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
182018
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
182001
The system can't perform the operation now. Try again later.
Articles 1–20