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» Computing Controllers for Nonlinear Hybrid Systems
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HCI
2009
14 years 7 months ago
A Novel Dry Electrode for Brain-Computer Interface
A brain-computer interface is a device that uses signals recorded from the brain to directly control a computer. In the last few years, P300-based braincomputer interfaces (BCIs) h...
Eric W. Sellers, Peter J. Turner, William A. Sarna...
IJCNN
2007
IEEE
15 years 4 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
GECON
2007
Springer
81views Business» more  GECON 2007»
15 years 3 months ago
Prediction-Based Enforcement of Performance Contracts
Grid computing platforms require automated and distributed resource allocation with controllable quality-of-service (QoS). Market-based allocation these features using the compleme...
Thomas Sandholm, Kevin Lai
SMC
2007
IEEE
143views Control Systems» more  SMC 2007»
15 years 4 months ago
Enabling gestural interaction by means of tracking dynamical systems models and assistive feedback
— The computational understanding of continuous human movement plays a significant role in diverse emergent applications in areas ranging from human computer interaction to phys...
Yon Visell, Jeremy R. Cooperstock
HYBRID
2010
Springer
15 years 4 months ago
Real-time scheduling of mixture-of-experts systems with limited resources
Mixture-of-Experts (MoE) systems solve intricate problems by combining results generated independently by multiple computational models (the “experts”). Given an instance of a...
Prapaporn Rattanatamrong, José A. B. Fortes