Ling Guo

Ling Guo
University of A Coruña | UDC · Department of Information and Communication Technologies

Ph.D.

About

10
Publications
5,592
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1,270
Citations

Publications

Publications (10)
Chapter
Full-text available
NOx are environmental pollutants that lead to the formation of acid rain and tropospheric ozone. They are released from many different sources, including, for example, agriculture and wastewater treatment plants. Besides non-biological alternatives, NOx can also be eliminated biologically, under cost-efficient conditions. Different bioreactor confi...
Article
The classification of signals is usually based on the extraction of various features that subsequently will be used as an input to a classifier. These features are extracted as a result of the experts' prior knowledge, which may often involve a lack of the information necessary for an accurate classification in all cases. This study proposes a new...
Article
This paper applies genetic programming (GP) to perform automatic feature extraction from original feature database with the aim of improving the discriminatory performance of a classifier and reducing the input feature dimensionality at the same time. The tree structure of GP naturally represents the features, and a new function generated in this w...
Article
Epilepsy is the most prevalent neurological disorder in humans after stroke. Recurrent seizure is the main characteristic of the epilepsy. Electroencephalogram (EEG) is the recording of brain electrical activity and it contains valuable information related to the different physiological states of the brain. Thus, EEG is considered an indispensable...
Article
About 1% of the people in the world suffer from epilepsy. The main characteristic of epilepsy is the recurrent seizures. Careful analysis of the electroencephalogram (EEG) recordings can provide valuable information for understanding the mechanisms behind epileptic disorders. Since epileptic seizures occur irregularly and unpredictably, automatic s...
Chapter
Full-text available
A new algorithm is presented for finding genotype-phenotype association rules from data related to complex diseases. The algorithm was based on genetic algorithms, a technique of evolutionary computation. The algorithm was compared to several traditional data mining techniques and it was proved that it obtained better classification scores and foun...
Chapter
A new algorithm is presented for finding genotype-phenotype association rules from data related to complex diseases. The algorithm was based on genetic algorithms, a technique of evolutionary computation. The algorithm was compared to several traditional data mining techniques and it was proved that it obtained better classification scores and foun...
Conference Paper
Full-text available
Electroencephalographms (EEGs) are records of brain elec- trical activity. It is an indispensable tool for diagnosing neu- rological diseases, such as epilepsy. Wavelet transform (WT) is an effective tool for analysis of non-stationary signal, such as EEGs. Relative wavelet energy (RWE) provides informa- tion about the relative energy associated wi...
Article
This work is the first extensive study on the removal of carbon monoxide from polluted air in biofilters. It compares the performance of two packing materials, namely lava rock alone and a mixture of peat and lava rock. The results show that the biofilter packed with the mixture of peat and lava rock performed much better than the other one. The ef...
Article
Over the past decade much effort has been made to develop new carrier materials, more performant biocatalysts, and new types of bioreactors for waste gas treatment. In biofilters fungal biocatalysts are more resistant to acid and dry conditions and take up hydrophobic compounds from the gas phase more easily than wet bacterial biofilms. In the pres...