The familiar linear multichannel sea surface temperature algorithms (MCSST) for estimating sea surface temperature with AVHRR satellite data describe the solution in terms of a constant gamma ...

Multi-fidelity modelling enables accurate inference of quantities of interest by synergistically combining realizations of low-cost/low-fidelity models with a small set of high-fidelity observations.

Conventional techniques may not be sufficient, but a new approach to implementing nonlinear algorithms may accomplish the goal. Roy Batruni, CEO, Optichron Nonlinear signal distortion is widespread ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Lookup tables and Taylor series are two common methods for interpolating between experimentally gathered data or for generating a known function such as a sine wave. This article proposes a third ...

Human hearing: research done by Jacob Oppenheim and Marcelo Magnasco suggests that human hearing is a highly nonlinear process. (Courtesy: Shutterstock/FusionMS) People can simultaneously identify the ...