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This paper proposes a neural fuzzy evaluation system (NFES) with significant variables selected from stepwise regression to predict apnea-hypopnea index (AHI) for evaluating obstructive sleep apnea (OSA). The variables considered are the change statuses of blood pressure (BP) before going to sleep and early in the morning as well as other five easily available measurements (age, body mass index (BMI),...
Convolutional Neural Networks (CNN) have demonstrated its successful applications in computer vision, speech recognition, and natural language processing. For object recognition, CNNs might be limited by its strict label requirement and an implicit assumption that images are supposed to be target-object-dominated for optimal solutions. However, the labeling procedure, necessitating laying out the...
The paper presents an improved redial basis function network to degrade the influence of the heteroscedasticity noises in the training data. A general purpose learning algorithm is regarded as the statistical nonlinear regression model which is assumed the constant noise level. However, the heteroscedasticity noises always exist in the real data. The transformation based least trimmed squares-support...
Deep learning has recently exhibited good performance in many applications. The convolution neural network is an often-used architecture for deep learning and has been widely used in computer vision and audio recognition, and outperformed other related handcraft designed feature in recent years. These techniques compared to other artificial intelligence algorithms and handcraft features need extremely...
A consumers' psychological perception (CPP) of a product is induced by its appearance, and thereby product form plays a vital role for the commercial success of a product. This study proposes an incorporated design approach combining a multiple linear regression technique with a back-propagation neural network to aid product designers incorporate CPPs of product forms in the design process. To demonstrate...
This paper discusses the possibility of improving eye-hand coordination in children diagnosed with this problem, using a robotic mapping from a haptic user interface to a virtual environment. The goal is to develop, implement and refine a system that will assess and improve the eye-hand coordination and grip strength in children diagnosed with having problems with it. A detailed analysis of patters...
An automatic system integrating the artificial intelligent methods could classify the normal sinus rhythm (NSR) and three arrhythmic types from the continuous ECG signals obtained from the MIT-BIH arrhythmia database. In this system, a support vector machine (SVM) was used to mark the heart beats of ECG with Lead II and its slope signals. An algorithm according the markers extracted segment's waveforms...
Automatic target recognition technique, based on the projections in the samples range space, can be availably used in SAR target recognition. It requires that the relativity between the range spaces of different targets should be minimal. However, the relativity between the corresponding range spaces is very big if the different targets have similar appearance and structure, which will considerably...
Knowledge and its management has become an important issue for manager, consultants, and researchers. An application of Knowledge Management system is need in order to facilitate these knowledge processes, therefore supporting the business processes. This study will briefly review the existing literature on both knowledge management and e-business and then will present on the linkages or supplementary...
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