This study demonstrates the feasibility of detecting motor intent from brain activity of chronic
stroke patients using an asynchronous electroencephalography (EEG)-based brain machine …

Many of the commonly used methods for modeling and fitting psychophysical data are
special cases of statistical procedures of great power and generality, notably the …

Human brain maturation is characterized by the prolonged development of structural and
functional properties of large-scale networks that extends into adulthood. However, it is not …

R is a great choice for marketing analysts. It offers unsurpassed capabilities for fitting
statistical models. It is extensible and able to process data from many different systems, in a …

The heterogeneity of apple fruit was highlighted by near-infrared hyperspectral imaging (NIR-
HSI) using a data analysis in two successive steps. First, NIR-HSI images were acquired on …

We use partial class memberships in soft classification to model uncertain labeling and
mixtures of classes. Partial class memberships are not restricted to predictions, but may also …

Spectroscopy‐based imaging techniques can provide useful biochemical information about
tissue samples. Here, we employ Raman and Fourier transform infrared (IR) imaging to …

Background Steady-state visual evoked potentials (SSVEPs) are widely used for brain–
computer interfaces. However, users experience fatigue due to exposure to flickering stimuli …

The Pantanal is a biodiversity hotspot comprised of a mosaic of landforms that differ in
vegetative assemblages and flooding dynamics. Tree islands provide refuge for terrestrial …

Gliomas are the most frequent primary brain tumours. During neurosurgical treatment,
locating the exact tumour border is often difficult. This study assesses grading of …