Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …

At present, alloys have broad application prospects in heterogeneous catalysis, due to their
various catalytic active sites produced by their vast element combinations and complex …

To achieve a highly efficient brain-computer interface (BCI) system regarding emotion
recognition from electroencephalogram (EEG) signal, the most crucial issues are feature …

In this work, we proposed a versatile signal processing and analysis framework for
Electroencephalogram (EEG). Within this framework the signals were decomposed into the …

Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …

Distance or similarity measures are essential to solve many pattern recognition problems
such as classification, clustering, and retrieval problems. Various distance/similarity …

We propose a method for generating classifier ensembles based on feature extraction. To
create the training data for a base classifier, the feature set is randomly split into K subsets …

Monitoring and maintenance of photovoltaic (PV) modules are critical for a reliable and
efficient operation. Hotspots in PV modules due to various defects and operational …

Hyperspectral sensors record the reflectance from the Earth's surface over the full range of
solar wavelengths with high spectral resolution. The resulting high-dimensional data contain …

In this paper we overview emotional speech recognition having in mind three goals. The first
goal is to provide an up-to-date record of the available emotional speech data collections …