… The details of the algorithm with an experimental proof is provided in Honarkhah and Caers
… A more quantitative comparison is provided in Honarkhah and Caers (2009), where the …

Non-stationary models often capture better spatial variation of real world spatial phenomena
than stationary ones. However, the construction of such models can be tedious as it …

Diffusion model has become a main paradigm for synthetic data generation in many subfields
of modern machine learning, including computer vision, language model, or speech …

Ideally, probabilistic forecasts improve the decision quality, capture upsides and mitigate
downsides. Unfortunately, one of the risks associated with probabilistic forecasts is the possible …

An application of ISO 10001 and ISO 10002 customer satisfaction standards to enhance
students’ satisfaction in engineering courses is studied. An ISO 10001-based Code …

… Assume that we set the maximum number of layers in block m in the server 278 model
asL0,m. Then the costs for matching all layers in block m for client M form a cost matrix 279 …

Advent of Multiple-Point Geostatistics helped to integrate complex subsurface geological
structures and features into the model by the concept of training images. Initial algorithms such …

The authors’ firm, Risk Management Solutions (RMS), has had a front-row seat in the
development of catastrophe-linked securities from an esoteric, fringe asset class to a mainstream, …

… on a 0.8 /spl mu/m SOI film were investigated. The device with 15.5 /spl mu/m of SJ region
exhibits a breakdown voltage of 317 V, a specific on-resistance of 48.3 m/spl Omega/cm/sup 2…

Most geostatistical techniques rely on some form of stationarity in their approach to creating
model realizations. This assumption of stationarity is inherent to any statistical modeling …