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Keyword: Random fieldEnsemble of Neural Network Conditional Random Fields for Self-Paced Brain Computer Interfaces
Advances in Science, Technology and Engineering Systems Journal,
Volume 2,
Issue 3,
Page # 996–1005,
2017;
DOI: 10.25046/aj0203126
Abstract:
Classification of EEG signals in self-paced Brain Computer Interfaces (BCI) is an extremely challenging task. The main difficulty stems from the fact that start time of a control task is not defined. Therefore it is imperative to exploit the characteristics of the EEG data to the extent possible. In sensory motor self-paced BCIs, while performing…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Artificial Intelligence in Computer Science (CAI))
Signal-Based Metamodels for Predictive Reliability Analysis and Virtual Testing
Advances in Science, Technology and Engineering Systems Journal,
Volume 3,
Issue 1,
Page # 342–347,
2018;
DOI: 10.25046/aj030141
Abstract:
In the current industrial development, an increasing number of sensors is applied for monitoring of any kind of appliances and machines. A predictive mathematical model allows for realistic assessment of the health state of the appliance, indication of service requirements, as well as control of the appliance, serving as so-called digital twin on a control…
Read More(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Aerospace Engineering (EAR))
