The experimental results showed that the proposed method efficiently classifies heart sounds. Heart sound analysis is a b asic method for heart examination, w hich m ay s uggest t he pr esence of a c ardiac pa thology a nd a lso provide diagnostic information. In this study, a novel feature extraction method based on Independent Component Analysis is applied to classify nine different heart sou...

E(pithelial)-cadherin and N(eural)-cadherin are transmembrane cell-cell adhesion molecules, belonging to the subfamily of classical cadherins. The expression of E- and N-cadherin is spatiotemporally regulated and associated with a variety of normal morphogenetic events. The expression of E- and N- cadherin is also involved in carcinogenesis. E-cadherin functions as a tumor-suppressor. N-cadheri...

Background: Neisseria meningitidis, a life-threatening human pathogen with the potential to cause large epidemics, can be isolated from the nasopharynx of 5–15% of adults. The aim of the current study was to evaluate biophysical and biochemical properties and immunological aspects of chimeric acyl-carrier protein-macrophage infectivity potentiator protein-type IV pilus biogenesis protein ...

N eural networks are very powerful as nonlinear signal processors, but obtained results are often far from satisfactory. The purpose of this article is to evaluate the reasons for these frustrations and show how to make these neural networks successful. The following are the main challenges of neural network applications: 1) Which neural network architectures should be used? 2) How large should...

One of the major shortcomings of neural network as a problem solving tool lies in its opaque nature of knowledge representation and manipulation. For instance, the way that a learning algorithm modifies the connection weights of a network cannot be easily understood in the context of the application domain knowledge. Thus, the applications of neural networks is limited in areas where user’s und...

Background and goals Herbal medicine is used to treat a variety of oral health problems. Therefore, it essential comprehend fully. To determine whether the amount risky, crucial understand dosages medicinal plants. Before performing multiple linear regression (MLR) modeling, this paper uses multilayer feedforward (MLFF) neural network (NN) technique propose variable selection. A data set with s...

A decoupled sliding-mode neural network variable-bound control system (DSMNNVB) is proposed to control rotating stall and surge in jet engine compression systems in presence of disturbance and uncertainty. The control objective is to drive the systemstate to the original equilibriumpoint and it proves that ccepted 7 February 2010 vailable online 11 February 2010 eywords: xial compressors liding...

A measure known as inspection time (IT) has been shown to account for approximately 25% of the variance in peoples’ intellectual abilities, as measured by IQ. Despite this strong relationship, inspection time has had only limited success in expanding our knowledge regarding the nature of intelligence, which can be attributed to a lack of understanding of the neurophysiology underlying IT. In th...

Methods for neural network hyperparameter optimization and architecture search are computationally expensive due to the need to train a large number of model configurations. In this paper, we show that simple regression models can predict the final performance of partially trained model configurations using features based on network architectures, hyperparameters, and time-series validation per...