1-3 of 3
Bahaa I. Kazem
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Parameterized Uncertainty Model Using a Genetic Algorithm With Application to an Electro-Hydraulic Valve Control System

Zuheng Kang, Bahaa I. Kazem, Roger C. Fales
Proc. ASME. DSCC2015, Volume 3: Multiagent Network Systems; Natural Gas and Heat Exchangers; Path Planning and Motion Control; Powertrain Systems; Rehab Robotics; Robot Manipulators; Rollover Prevention (AVS); Sensors and Actuators; Time Delay Systems; Tracking Control Systems; Uncertain Systems and Robustness; Unmanned, Ground and Surface Robotics; Vehicle Dynamics Control; Vibration and Control of Smart Structures/Mech Systems; Vibration Issues in Mechanical Systems, V003T48A004, October 28–30, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2015-9994
https://doi.org/10.1115/DSCC2015-9994
View Paper titled, Parameterized Uncertainty Model Using a Genetic Algorithm With Application to an Electro-Hydraulic Valve Control System
Open the PDF for Parameterized Uncertainty Model Using a Genetic Algorithm With Application to an Electro-Hydraulic Valve Control System in another window
Topics: Control systems, Genetic algorithms, Uncertainty, Valves, Flow control valves, Stability
Journal Articles

Experimental Investigation and Neural Network Modeling for Force System of Retraction T-Spring for Orthodontic Treatment

Bahaa I. Kazem, Nidahal Hussain Ghaib, Noor M. Hasan Grama
Journal: Journal of Medical Devices
Publisher: ASME
Article Type: Research Papers
J. Med. Devices. June 2010, 4(2): 021001.
https://doi.org/10.1115/1.4001387
Published Online: August 4, 2010
View Article titled, Experimental Investigation and Neural Network Modeling for Force System of Retraction T-Spring for Orthodontic Treatment
Open the PDF for Experimental Investigation and Neural Network Modeling for Force System of Retraction T-Spring for Orthodontic Treatment in another window
Topics: Artificial neural networks, Springs, Modeling, Stainless steel
Journal Articles

Multi-Objective Optimization for the Force System of Orthodontic Retraction Spring Using Genetic Algorithms

Bahaa I. Kazem
Journal: Journal of Medical Devices
Publisher: ASME
Article Type: Research Papers
J. Med. Devices. December 2009, 3(4): 041006.
https://doi.org/10.1115/1.4000494
Published Online: November 20, 2009
View Article titled, Multi-Objective Optimization for the Force System of Orthodontic Retraction Spring Using Genetic Algorithms
Open the PDF for Multi-Objective Optimization for the Force System of Orthodontic Retraction Spring Using Genetic Algorithms in another window
Topics: Genetic algorithms, Springs, Pareto optimization, Design, Stiffness