A Mössbauer and Electrochemical Characterization of the Corrosion Products Formed from Marine and Marine-Antartic Environments

A Training Methodology for Neural Networks Noise-Filtering when no Training Sets are available for Supervised Learning

“…Opposite to that, we applied an interval processing (a sort of moving-window, commonly employed for temporary series). In previous works we have implemented moving-window schemas for statistical noise-filtering [7]. As it is mentioned before, we observed that noise amplitude and frequency is stable in some intervals, depending on function slope.…”

“…This is especially the case in the so called trend-removal commonly used in Electrochemical Noise studies. In fact, our previous research activities focused at first on statistic methods [7] and later on neural networks applications for noise-filtering and trend-removal [6]. We especially applied different noise filtering methods, but in an inverse fashion.…”

A brief overview of Materials Science in Uruguay

“…Works on semiconductors done by Saucedo [46] and Cuña [47] as a continuation of Fornaro's work were published. Some years later, new corrosion studies were published by Ohanian et al [48] as a continuation of Zinola's work, on elastic and magnetic superconducting properties by Stari et al [49] and Suescun et al [50], respectively, both as a continuation of the works by Moreno and Mombrú, respectively. We can also mention some works on coordination compounds with various applications developed by Torre et al [51] and Cerdá et al [52], in the latter case as a continuation of the work initiated by Kremer.…”