Background and objective: The eustachian tube (pharyngotympanic tube) connects the middle ear cavity to the nasopharynx, and its dysfunction leads to the accumulation of fluids in the middle ear and hearing loss. In such cases, irresponsiveness to pharmaceutical treatments urges myringotomy combined with ventilation tube insertion. Given the importance of the operation outcomes, the present stu...

This paper presents a Computational Intelligence scheme to deal with subjective human inspection tasks in the industry that are subjective measurements. The scheme is used to solve two cosmetic subjective measurements tasks, classification of cosmetic defects and detection of non-uniform color regions in a translucent film. The first problem is solved with two approaches supervised and unsuperv...

CCK and gastrin stimulate somatostatin (SOM) secretion and thus modulate their direct effects on the parietal cell. Although SOM is stored in D cells of the fundus and antrum, the nature of the cell type differs, and it is not known whether both regions respond to the stimulatory effects of CCK and gastrin. The objectives of the present study were to determine the separate effects of CCK and ga...

I dette foredraget vil vi presentere et prosjekt som nettopp har kommet i gang, og som har fått NOK 1 000 000 fra NorFA til et nordisk nettverk. Prosjektet har to siktemål som henger nøye sammen. Det ene er å bygge nettverk mellom fire forskningsog utviklingsmiljøer ved UiO (Tekstlaboratoriet), UiB (HIT-senteret), GU (Språkdata) og CST. Det andre er praktisk: å utvikle en automatisk navnegjenkj...

The present study provides a detailed description of somatostatin (SOM) distribution and the colocalization pattern of SOM, neuropeptide Y (NPY) and nitric oxide synthase (NOS) in the dorsal striatum (caudate-putamen complex) of the guinea pig. Within the dorsal striatum, SOM is found in a population of medium-sized aspiny interneurons. We found that 97% of all SOM-IR neurons expressed NPY simu...

This study applies clustering analysis for data mining and machine learning to predict trends in technology professional turnover rates, including the hybrid artificial neural network and clustering analysis known as the self-organizing map (SOM). This hybrid clustering method was used to study the individual characteristics of turnover trend clusters. Using a transaction questionnaire, we stud...

This paper develops a hybrid model combining a Hidden Markov Chain (HMC) and Multilayer Perceptrons (MLP) on the Waveletheterogeneous Index of Market Shocks (WhIMS) to identify dynamically regimes in financial turbulences. The WhIMS is an aggregate measure of volatility computed at different frequencies. We estimate the model based on a French market stock index (CAC40 Index) and compare the pr...

In this paper an autonomous feature clustering framework has been proposed for performance and reliability evaluation of an environmental sensor network. Environmental time series were statistically preprocessed to extract multiple semantic features. A novel hybrid clustering framework was designed based on Principal Component Analysis (PCA), Guided Self-Organizing Map (G-SOM), and Fuzzy-CMeans...

Two numerical methods are proposed to solve the electric impedance tomography (EIT) problem in a domain with arbitrary boundary shape. The first is the new fast Fourier transform subspace-based optimization method (NFFT-SOM). Instead of implementing optimization within the subspace spanned by smaller singular vectors in subspace-based optimization method (SOM), a space spanned by complete Fouri...