174 resultados para Classification, Decimal

em Queensland University of Technology - ePrints Archive

Neural Networks in Cardiac Electrophysiological Signal Classification

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Airborne laser scanning : exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Condition classification of small reciprocating compressor for refrigeration using artificial neural networks and support vector machines

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Bearing Fault Classification Using Wavelet Features

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Vibration Monitoring Classification Using Optimized Time-Frequency Representations

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Logarithmic Quantisation of Wavelet Coefficients for Improved Texture Classification Performance

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Classification of Candidate Landing Sites for UAV Forced Landings

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Nonstationary Signal Classification Using Time-Frequency Optimization

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Gesture classification using a GMM front end and hidden Markov Models

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Application of Machine Learning Techniques to Design Classification

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Modelling Traditional Chinese Paintings for Content-Based Image Classification and Retrieval

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Minimum Classification Error Using Time-Frequency Analysis

Relevância:

20.00% 20.00%

Publicador:

Veja mais

A New Approach to Hybrid SOM Implementations for Text Classification

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Texture Classification Using Gabor Energy Features and Higher Order Spectral Features: A Comparative Study

Relevância:

20.00% 20.00%

Publicador:

Veja mais

A Comparative Study on Fault Classification Systems for Fault Detection of Small Reciprocating Compressors

Relevância:

20.00% 20.00%

Publicador:

Veja mais