It took decades for the work of enlightened pioneers in biomedical informatics to reach the mainstream in hospitals and outpatient care. Initial successful projects, those that were able to demonstrate impact on quality and efficiency of care, relied on locally-developed systems, painstakingly tuned to the socio-technical specificities of their organizations. It took two additional decades to r...

Understanding the role of landscape heterogeneity and its influence on the scaling behavior of surface fluxes as observed by satellite sensors with different spatial resolutions is a critical need to investigate. In this study, the effects of pixel scales on ETc estimation and other parameters that are used to calculate ETc were investigated over different vegetation surfaces in south central N...

We present a novel technique based on a multiresolutional clustering and nonlinear multi-dimensional scaling of earthquake patterns to investigate observed and synthetic seismic catalogs. The observed data represent seismic activities around the Japanese islands during 1997–2003. The synthetic data were generated by numerical simulations for various cases of a heterogeneous fault governed by 3-...

The double–scaling limit of the supereigenvalue model is performed in the moment description. This description proves extremely useful for the identification of the multi-critical points in the space of bosonic and fermionic coupling constants. An iterative procedure for the calculation of higher–genus contributions to the free energy and to the multi–loop correlators in the double–scaling limi...

Advancements in machine learning have led to an increased interest applying deep reinforcement techniques investment decision-making problems. Despite this, existing approaches often rely solely on single-scaling daily data, neglecting the importance of multi-scaling information, such as weekly or monthly processes. To address this limitation, a convolutional neural network for learning-based s...

The goal of multi-frame Super Resolution (SR) is to fuse multiple Low Resolution (LR) images to produce one High Resolution (HR) image. The major challenge of classic SR approaches is accurate motion estimation between the frames. To handle this challenge, fuzzy motion estimation method has been proposed that replaces value of each pixel using the weighted averaging all its neighboring pixels i...

Multi-user video conferencing has high and diverse bandwidth and performance requirements. We analyse the scaling behaviour of a standard hybrid video codec by varying the quantization degree, the temporal and spatial resolution. We define a framework to select the set of coding parameters when the bandwidth and complexity constraints are known. Additionally, the efficiency of simulcast and lay...

In this paper we present a variational, spatiotemporal video super resolution scheme that produces not just one but n high resolution video frames from an n frame low resolution video sequence. We use a generic prior and the output is artifact-free, sharp and superior in quality to state of the art home cinema video processors. Unlike many other super resolution schemes, ours does not limit its...