R. Krummenauer

High-Resolution Techniques for Seismic Signal Prospecting

R. Krummenauer, A. K. Takahata, Tiago Barros, 2015 .

Differential evolution-based optimization procedure for automatic estimation of the common-reflection surface traveltime parameters

R. Krummenauer, Tiago Barros, R. Ferrari, 2015 .

Modified MODEX method for direction finding with improved threshold performance

R. Krummenauer, A. Lopes, F.J. da Silva, 2006, 2006 International Telecommunications Symposium.

Maximum Likelihood-Based Direction-of-Arrival Estimator for Discrete Sources

Philippe Forster, Pascal Larzabal, Romis de Faissol Attux, 2013, Circuits Syst. Signal Process..

Application of natural computing algorithms to maximum likelihood estimation of direction of arrival

Levy Boccato, Romis de Faissol Attux, Amauri Lopes, 2012, Signal Process..

Improving the threshold performance of maximum likelihood estimation of direction of arrival

Philippe Forster, Pascal Larzabal, Amauri Lopes, 2010, Signal Process..

Improving the Efficiency of Natural Computing Algorithms in DOA Estimation Using a Noise Filtering Approach

Levy Boccato, Romis de Faissol Attux, Amauri Lopes, 2013, Circuits Syst. Signal Process..

Modeling and Simulation of Photovoltaic Modules Using Bio-Inspired Algorithms

R. Bergamasco, R. Krummenauer, Lucas Lima Provensi, 2023, Inventions.

Modeling of the operating characteristics of photovoltaic modules based on particle swarm optimization

C. Andrade, R. Krummenauer, G. P. Alcantara, 2022, Environmental Progress & Sustainable Energy.