By using ML surrogates to predict required system costs and performance indicators, we can approximate the nonlinearities in the GDP to generate an efficient mixed-integer linear programming (MILP) ...

This study presents linear mixed model-based approaches for MET data analysis. Ten MET grain yield datasets from national variety trials in Ethiopia were used. Randomized complete block (RCB) design ...

We employ a mixed linear model (MixedLM) to analyze the association between mm-wave frequency ${S}_{{21}}$ parameters and blood glucose levels within a heterogeneous dataset. The MixedLM method ...

The MELPe Vocoder extends the traditional LPC parametric model with features for mixed-excitation, aperiodic pulses, pulse dispersion, and adaptive spectral enhancement. Mixed-excitation is used to ...

PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems. The routines are implemented using templates which allows switching to ...

Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). In addition, SCIP provides a highly ...

Linear Technology has introduced a ride-through DC-DC voltage converter IC which can deal with a sudden loss of input voltage from a single supercapacitor energy source. The IC has a main buck ...