As such, we propose a coarse-graining of neuronal networks to ensemble-nodes, with multiple spikes making up its ensemble-spike and time re-scaling factor defining its ensemble-time step. This fractal-like spatiotemporal property, observed in both structure and function, permits strategic choice ...
A crucial step in the analysis of single-cell data is annotating cells to cell types and states. While a myriad of approaches has been proposed, manual labeling of cells to create training datasets remains tedious and time-consuming. In the field of mach
Unfortunately, the majority of MNNs divide time series in sample space using clustering and evolutionary algorithm, but without considering its time characteristic and data correlation, and some of subnetworks may have few samples, which causes a poor prediction performance due to insufficient training...
The testing sets are created by independent random input vectors within the predefined design space, dictated by the bounds of the finite element predictions (Fig. 6). In Fig. 11 we provide classification results of the trained NN for different design parameters of the sheet materials and SPR ...
space, it should still be recognizable as a car. Let us take an example of the most commonly used pooling layer, Max pooling.Max poolingsummarizes output volume patches with the max function. Given the input volume in gray, Max Pooling applies the max function to an M by M region, then...
Use an interleaved radial k-space sampling technique followed by the reconstruction of a sliding-window,low-resolution, real-time image series. A single reference image is selected as a maskkernel, h(x, y). A correlation-coefficient computation along an ROI-masked representation of the low-resol...
, we propose an effective non-linear optimization method to solve the clustering algorithm’s objective function, which not only considers the relationship between attributes in a non-linear space but also assigns a weight to each attribute in the algorithm to measure the degree of correlation. ...
Adequate precision was measured, with a value of 9.366, which indicates that the signal was sufficiently strong and the model was well-suited to describe the design space. Table 11 presents the estimated coefficients for compressive strength after 28 days of curing, which all lay within the 95%...
The higher speed enables real-time data acquisition for neonatal cardiac imaging in which physiological motion is fast and non-periodic. Conclusion With k-space variant correlation functions, correlation imaging gives a higher speed than parallel imaging and offers the potential to image physiological ...
space partitionAiming at efficient numerical analysis of time-dependent (TD) many-electron dynamics of atoms involving multielectron continua, the TD restricted-active-space self-consistent-field theory with space partition (TDRASSCF- SP) is presented. The TD-RASSCF-SP wave function is expanded in...