Wavelet and Unsupervised Learning Techniques for Experimental Biomedical Data Processing
Matteo Cacciola (Department of Civil Engineering, Energy, Environment and Materials, “Mediterranea” University of Reggio Calabria, Reggio Calabria, Italy); Salvatore Calcagno (Department of Civil Engineering, Energy, Environment and Materials, “Mediterranea” University of Reggio Calabria, Reggio Calabria, Italy); Filippo Laganà (Department of Civil Engineering, Energy, Environment and Materials, “Mediterranea” University of Reggio Calabria, Reggio Calabria, Italy); Francesco Carlo Morabito (Department of Civil Engineering, Energy, Environment and Materials, “Mediterranea” University of Reggio Calabria, Reggio Calabria, Italy); Diego Pellicanò (Department of Civil Engineering, Energy, Environment and Materials, “Mediterranea” University of Reggio Calabria, Reggio Calabria, Italy); Isabella Palamara (Department of Civil Engineering, Energy, Environment and Materials, “Mediterranea” University of Reggio Calabria, Reggio Calabria, Italy); Mario Versaci (Department of Civil Engineering, Energy, Environment and Materials, “Mediterranea” University of Reggio Calabria, Reggio Calabria, Italy); Biagio Cammaroto (Department of Civil Engineering, University of Messina, Messina, Italy)
ISSN: 2156-1737|EISSN: 2156-1729
https://www.igi-global.com/article/wavelet-unsupervised-learning-techniques-experimental/78330