Unmanned aircraft have decreased the cost required to collect remote sensing imagery, which has enabled researchers to collect high-spatial resolution data from multiple sensor modalities more frequently and easily. The increase in data will push the need for semantic segmentation frameworks that are able to classify non-RGB imagery, but this type of algorithmic development requires an increase...

OBJECTIVE Patients usually require long-term training for effective EEG-based brain-computer interface (BCI) control due to fatigue caused by the demands for focused attention during prolonged BCI operation. We intended to develop a user-friendly BCI requiring minimal training and less mental load. METHODS Testing of BCI performance was investigated in three patients with amyotrophic lateral ...

The virtual physiological human (VPH) initiative encompasses a wide range of activities, including structural and functional imaging, data mining, knowledge discovery tool and database development, biomedical modelling, simulation and visualization. The VPH community is developing from a multitude of relatively focused, but disparate, research endeavours into an integrated effort to bring toget...

The current study examines the contribution of a number of metacognitive and motivational variables in explaining specific, transfer and maintenance effects of a strategic memory training program, based on the use of mental imagery, in older adults. Participants were assessed before and after the training (immediately post-test, and at 3- and 6-month follow-up) on list recall (criterion) and wo...

In the present study we implemented a real-time feedback system based on multichannel near-infrared spectroscopy (NIRS). Prior studies indicated that NIRS-based neurofeedback can enhance motor imagery related cortical activation. To specify these prior results and to confirm the efficacy of NIRS-based neurofeedback, we examined changes in blood oxygenation level collected in eight training sess...

The web holds tremendous potential as a source of training data for visual classification. Web images must be correctly indexed and labeled before this potential can be realized. Accordingly, there has been considerable recent interest in collecting imagery from the web using image search engines to build databases for object and scene recognition research. While search engines can provide roug...

application of satellite imagery and remote sensing techniques in agriculture and other natural resources has been approved by many studies. in this study two etm+ imagery data for may and september 2012 of astan ghods razavi great farm were acquired to identify the boundaries of lands cultivated with different crops coverage and to create crops maps of that farm. . to classify the images, the ...

Objectives: The primary purpose of the present study was to examine the effects of a cognitive specific (CS) imagery intervention on the soccer skill performance of young athletes aged 7e14 years and determine if performance varied with age. Design: Participants were 143 soccer athletes belonging to 16 different teams. Teams were randomly assigned to either a cognitive specific (CS) or motivati...

Vivid emotional mental imagery has been identified across a range of mental disorders. In bipolar spectrum disorders - psychopathologies characterized by mood swings that alternate between depression and mania, and include irritability and mixed affect states - mental imagery has been proposed to drive instability in both 'positive' and 'negative' mood. That is, mental imagery can act as an "em...