We propose a method to predict treatment response patterns based on spatio-temporal disease signatures extracted from longitudinal spectral domain optical coherence tomography (SD-OCT) images. We extract spatio-temporal disease signatures describing the underlying retinal structure and pathology by transforming total retinal thickness maps into a joint reference coordinate system. We formulate ...

Prominent examples of collective systems are often encountered when analysing smart cities and smart transportation systems. We propose a novel modelling and analysis approach combining statistical model checking, spatio-temporal logics, and simulation. The proposed methodology is applied to modelling and statistical analysis of user behaviour in bike sharing systems. We present a tool-chain th...

In this paper we propose a methodology for mining very large spatio-temporal datasets. We propose a two-pass strategy for mining and manipulating spatio-temporal datasets at different levels of detail (i.e., granularities). The approach takes advantage of the multi-granular capability of the underlying spatio-temporal model to reduce the amount of data that can be accessed initially. The approa...

Among the different approaches to the bioelectromagnetic inverse problem, the currentdensity reconstruction methods (CDR) provide the most general solutions. Since the inverse problem does not have a unique solution, model assumptions have to be taken into account. Multi-channel measurements contain not only spatial, but also temporal information about the sources, so a naturally extension to e...

A wide range of real-world problems involves dynamic aspects. Accordingly, some neural models have been proposed that try to incorporate the temporal dimension. Our aim is to design a generic temporal neural model which can learn and schedule spatio-temporal masks. A self-organized mechanism can also be used to preserve the spatio-temporal topology. We define spatio-temporal maps which involve ...

Abstract This paper reports a site-specific spatio-temporal channel model for the suburban slightly NLOS (non-line-of-sight) microcellular environment, based on the field test result of the azimuth-delay spectrum. The parameter extraction scheme of the spatio-temporal channel is briefly reviewed [1, 2], first. Then, the implementation issue of the stochastic spatio-temporal fading simulator is ...

Spatio-temporal extensions to the classical optical ow technique are presented. A novel optical ow estimator is derived capable of incorporating spatio-temporal motion models by iteratively rening initial motion estimates. These initial estimates may be derived from motion in previous frames using a spatio-temporal processing architecture, or from block matching or feature matching techniques. ...

We present the combination of microscopic model calculations and direct experimental evidence for complex spatio-temporal dynamics on a picosec-ond timescale in the near-eld of a broad area semiconductor laser induced by the interplay of self-focusing, diiraction, and spatial hole burning. We demonstrate the formation of migrating optical laments within the turn-on dynamics of such a laser and ...