Faisul Arif Ahmad
TitleCited byYear
A highly interpretable fuzzy rule base using ordinal structure for obstacle avoidance of mobile robot
K Samsudin, FA Ahmad, S Mashohor
Applied Soft Computing 11 (2), 1631-1637, 2011
Energy management in mobile robotics system based on biologically inspired honeybees behavior
AF Arif, AR Ramli, K Samsudin, SJ Hashim
2011 IEEE International Conference on Computer Applications and Industrial …, 2011
Implementation of a cue-based aggregation with a swarm robotic system
F Arvin, SC Doraisamy, K Samsudin, FA Ahmad, AR Ramli
Knowledge Technology Week, 113-122, 2011
Implementation of Continuous-Grouped-Self-Learning (CGSL) System in Engineering Education.
MAM Azau, AF Abas, MI Saripan, WA Wan Adnan, NK Noordin, A Ismail, ...
International Education Studies 1 (4), 132-135, 2008
Optimization of Power Utilization in Multi-Mobile Robot Foraging Behavior Inspired by Honeybees System
FA Ahmad, AR Ramli, K Samsudin, SJ Hashim
The Scientific World Journal 2014, 12 pages, 2014
Comparison of direct and incremental genetic algorithm for optimization of ordinal fuzzy controllers
K Samsudin, FA Ahmad, S Mashohor, NM Latif
2008 Ninth ACIS International Conference on Software Engineering, Artificial …, 2008
Obstacle avoidance of mobile robots using ordinal structure model of fuzzy reasoning approach
FA Ahmad, K Samsudin, M Khalid, R Yusof
Proceeding of Malaysia-Japan International Symposium on Advanced Technology …, 2007
Improved Autonomous Charging of Mobile Multi-Robots using Honeybee Inspired Algorithm
Faisul Arif Ahmad, Abd Rahman Ramli, Khairulmizam Samsudin, and Shaiful ...
Universiti Putra Malaysia, 2016
Control of an autonomous khepera mobile robot based on the ordinal structure model of fuzzy reasoning
FA Ahmad
Universiti Teknologi Malaysia, 2008
Optimization of Fuzzy Rules in Fuzzy Controller System by Ordinal Structure Model of Fuzzy Reasoning for Obstacle Avoidance Behavior in a Khepera Mobile Robot
FA Ahmad, M Khalid, R Yusof, K Samsudin, NM Latif
Proceedings of 2008 Student Conference on Research and Development (SCOReD …, 2008
Expert system for diagnosing severe acute respiratory syndrome (e-SARS)
MA Azau, SAR Al-Haddad, AT Obaidellah, F Arif, AR Ramli
Proceedings of the 4th WSEAS International Conference on Artificial …, 2005
The system can't perform the operation now. Try again later.
Articles 1–11