fNIRS-based classification of mind-wandering with personalized window selection for multimodal learning interfaces
Sign Up to like & getrecommendations! Published in 2020 at "Journal on Multimodal User Interfaces"
DOI: 10.1007/s12193-020-00325-z
Abstract: Automatic detection of an individual’s mind-wandering state has implications for designing and evaluating engaging and effective learning interfaces. While it is difficult to differentiate whether an individual is mind-wandering or focusing on the task only… read more here.
Keywords: classification; window selection; learning interfaces; mind wandering ... See more keywords
Time Window Selection of Seismic Signals for Waveform Inversion Based on Deep Learning
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DOI: 10.1109/tgrs.2021.3076531
Abstract: Seismic full-waveform inversion (FWI) is a powerful tool to image the high-resolution subsurface properties by fitting synthetic seismogram to observed data. To reduce the nonlinearity of FWI, a critical step is to exclude the noises… read more here.
Keywords: time; time window; inversion; waveform inversion ... See more keywords
Window Selection of the Savitzky–Golay Filters for Signal Recovery From Noisy Measurements
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.2966310
Abstract: The Savitzky–Golay (SG) filtering is a widely used denoising method employed in different applications. The SG filter has two design parameters: the window length and the filter order. As the window length increases, the estimation… read more here.
Keywords: window selection; savitzky golay; window length;