Technical Note: PYRO‐NN: Python reconstruction operators in neural networks

Modeling and Control of Gas Turbine Combustor with Dynamic and Adaptive Neural Networks (TECHNICAL NOTE)

Color Matching of Blends Prepared From Black and White Fibers by Neural Networks (TECHNICAL NOTE)

The color of the blends of pre-colored fibers depends on the ratio of each fiber in the blends. Some theories have been introduced for color matching of blends of pre-colored fibers. Most however, are restricted in scope and accuracy. Kubelka and Munk presented the most applicable theory, which is still used in industry. In this work, the classical Kubelka-Munk method for color prediction of a ...

Implant-Based Prosthetic Reconstruction in Patients with Congenital Ear Defects (Technical Note)

Background and aims: Loss of all or part of the ear is one of the significant defects in the head and neck area (regardless of the cause) that can result from trauma, cancer, congenital diseases, or surgery to remove benign tumors. These defects can be reconstructed with the help of surgical procedures or cosmetic prostheses. However, due to the complex structure of the ear, reconstructive surg...

Estimating Reliability in Mobile ad-hoc Networks Based on Monte Carlo Simulation (TECHNICAL NOTE)

Each system has its own definition of reliability. Reliability in mobile ad-hoc networks (MANET) could be interpreted as, the probability of reaching a message from a source node to destination, successfully. The variability and volatility of the MANET configuration makes typical reliability methods (e.g. reliability block diagram) inappropriate. It is because, no single structure or configurat...

Technical note: An R package for fitting Bayesian regularized neural networks with applications in animal breeding.

In recent years, several statistical models have been developed for predicting genetic values for complex traits using information on dense molecular markers, pedigrees, or both. These models include, among others, the Bayesian regularized neural networks (BRNN) that have been widely used in prediction problems in other fields of application and, more recently, for genome-enabled prediction. Th...