… Exploratory matrix factorization (EMF) techniques were employed mostly, whereby any data
matrix X ∈ RN×M contains spatial fMRI maps in its M columns at N subsequent time points …

The method of loci is one, if not the most, efficient mnemonic encoding strategy. This spatial
mnemonic combines the core cognitive processes commonly linked to medial temporal lobe (…

Patients with age-related macular degeneration (AMD) or hereditary macular dystrophies (JMD)
rely on an efficient use of their peripheral visual field. We trained eight AMD and five …

Objectives:This study aims to explore and discuss recent advancements in tooth reconstruction
utilizing deep learning (DL) techniques. A review on new DL methodologies in partial …

… It considers sub-segments (windows) of the original time series of length M. These data
windows overlap each other in accord with the step size K of the sliding window mechanism. …

… z :(1) mp s = ∑ i = j k rp i s + 1 - M rp i std rp i - rp i s - M rp i std rp i 2 (2) mp z s = mp s - M
mp std mp M and std. denote the respective mean and standard deviations of the realignment …

We investigated the role of informative feedback on the neural correlates of perceptual learning
in a coherent-motion detection paradigm. Stimulus displays consisted of four patches of …

The increasing global competition demands continuous optimization of products and
processes from companies in the process industry. Where conventional methods of Lean …

… To explore a sufficiently large space of ICs, we calculated ICA runs ranging from m = n r o
u … m = n r o u n d + 50 , in which n r o u n d is the estimated number of data-inherent ICs …

Investigating temporal variability of functional connectivity is an emerging field in connectomics.
Entering dynamic functional connectivity by applying sliding window techniques on …