Every cloud service provider that seeks an authorization to operate with the federal government using the FedRAMP framework has to undergo and pass an audit. Beyond passing the audit, the CSP needs to ...
Abstract: In order to improve the traditional common space pattern (CSP) algorithm pattern in EEG feature extraction, this study proposes a feature extraction method of EEG signals based on ...
A research team from the Institute of Statistical Mathematics and Panasonic Holdings Corporation has developed a machine learning algorithm, ShotgunCSP, that enables fast and accurate prediction of ...
Since the open-pit precedence-constrained production scheduling problem is an NP-hard problem, solving it is always a challenging task, especially from a long-term perspective because a mineral ...
Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States Department of Physics, Carnegie Mellon University, Pittsburgh, Pennsylvania ...
Solution: The CSP algorithm would try different combinations of the candidates, assigning them to various roles while ensuring all constraints are met. A solution to the CSP is an assignment of values ...
Background: As a typical self-paced brain–computer interface (BCI) system, the motor imagery (MI) BCI has been widely applied in fields such as robot control, stroke rehabilitation, and assistance for ...
Introduction: The common spatial patterns (CSP) algorithm is the most popular technique for extracting electroencephalogram (EEG) features in motor imagery based brain-computer interface (BCI) systems ...
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