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Repetitive respiratory disturbance during sleep is called Sleep Apnea Hypopnea Syndrome and causes various diseases. Different features and classifiers have been used by different researchers to detect sleep apnea. This study is undertaken to identify the better performing blood oxygen saturation features subset using an Artificial Neural Network classifier for sleep Apnea detection. A database of...
Self-organizing networks (SONs) aim at automating the management of cellular networks. However, tasks, such as the selection of the most appropriate performance indicators for SON functions, are still carried out by experts. In this letter, an unsupervised and autonomous technique for the selection of the most useful performance indicators is proposed, consisting in a data clustering stage followed...
In order to train neural networks (NN) for text-to-speech synthesis (TTS), phonetic segmentation must be performed. The most accurate segmentation is performed manually, but the process of creating manual alignments is costly and time-consuming, so automatic procedures are preferable. In this paper, a simple alignment method based on models trained during hidden Markov Model (HMM) based TTS system...
This paper presents a series of experiments on the classification of emergency phone conversation records using artificial neural networks (ANNs). Input data which were processed by ANNs were the features of callers and events taken from emergency phone calls. The authors analyzed four variants of classification: the groups of callers which have specified features, the groups of events which have...
Fingerprinting based WLAN indoor positioning system (FWIPS) provides a promising indoor positioning solution to meet the growing interests for indoor location-based services (e.g., indoor way finding or geo-fencing). FWIPS is preferred because it requires no additional infrastructure for deploying an FWIPS — achieving the position estimation by reusing the available WLAN and mobile devices, and is...
This paper present a keystroke dynamics Biometrie system using neural network as its classifier to recognize an individual. Biometric scheme are being widely used as their security merits over the earlier authentication system based on their history, that is the records were easily lost, guessed or forget. Biometric is more complex than password and is unique for each individual. Keystroke dynamics,...
The analysis of the Variability of the Heart Rate (HRV) is coming as an important indicator for different clinical applications like the prediction of arrhythmias, sudden cardiac death, assessing cardiovascular and metabolic illness progression or in sports physiology. In this paper we have developed an algorithm to detect a supraventricular arrhythmia, by processing the heart rate variability (HRV)...
Age estimation has recently become increasingly important for a variety of reasons including security, gaming, healthcare, and biometry. In this paper, we are interested in age estimation for content filters which could limit access to age-inappropriate content. Considering that the auditory response to sound varies with age, we provide in this paper preliminary insights about age estimation through...
An evaluation of sensor and function performance of an automated driving system as well as behavior analysis in certain situations are important steps on the road to automated driving. The prerequisite is the filtering of relevant situations with an automated and reliable offline classification of maneuvers in large amounts of driving environment data. In this paper, a dual approach for detecting...
A smart wearable electrocardiographic (ECG) processor is presented for secure ECG-based biometric authentication and cardiac monitoring, including arrhythmia and anomaly detection. Data-driven Lasso regression and low-precision techniques are developed to compress the neural networks by 24.4X. The prototype chip fabricated in 65 nm LP CMOS consumes 1.06 μW at 0.55 V for real-time ECG authentication...
A trade-off approach is suggested to calculate available transfer capability. An increase in the line load of one electric power system should not reduce benefit for another power system. Generation of a trade-off solution, i.e. a single procedure for line loading, is carried out using the modified state estimation and artificial neural networks.
Diabetes is one of the most common metabolic diseases and the statistics show that one in eleven adults has diabetes, but one in two adults with diabetes is undiagnosed, and in 2040 one in 10 adults will have diabetes. In this paper is proposed a hybrid Adaptive Neuro-Fuzzy Inference System (ANFIS) model for classifying patients with diabetes based on data sets with diabetic patients (Pima Indians...
Microcalcifications (MCs), tiny calcium deposits, are the very first sign of breast cancer in women. Their early detection is the most effective way to recovery. In this paper, we propose a novel approach for microcalcifications detection based on Self Organizing Neuro Glia Network (SONG-Net) classifier, a combination of supervised and unsupervised neural network. It models the role of glial cells...
Nowadays, audience can easily share their rating about a movie on the internet. Predicting movie user ratings automatically is specifically valuable for prediction box office gross in the cinema sector. As a result, movie rating prediction has been a popular application area for machine learning researchers. Although most of the recent studies consider using mostly numerical features in analyses,...
In digital image processing, orthogonal moments play an important role in image reconstruction, comparison and enhancement. Orthogonal Moments are derived from the polynomials which are mutually perpendicular and may be discrete or continuous. Most prominent continuous orthogonal moments include Legendre, Zernike and Pseudo-Zernike Moments and primary discrete orthogonal moments are Krawtchouk and...
Stroke is a very debilitating disease that a stroke survivor can suffer. It can result in both physical and cognitive deficits in the survivor. Without regular rehabilitation, a survivor will reach a chronic condition resulting in a huge burden. Rehabilitation is expansive, and a major issue is access as care givers are needed to take survivors to rehabilitation centres. This paper presents Neuromender∷FlexiBrains,...
Today, much more than in the past are discussed of plagiarism in the research. Conditions of the Web and Possibility of complex and smart searches in a short time, is rated to this, and as a result has arrived significant damages to the research. Tools designed to deal with plagiarism act on the text and ignore images. On the other, an inseparable part of information transfer are images that transfer...
The popularization of Long Term Evolution (LTE) leads to the issues of mobile data usage monitoring and prediction. The analyses of these issues can be referred for the deployment of mobile network and the recommendation of customer solutions. However, a great deal of statistical computing power and time is needed for several previous mobile data usage prediction methods. Because large variances may...
The performance of GPS (Global Positioning System) in densely built urban areas is greatly undermined due to multipath propagation. Many attempt alternative means for urban navigation, of which the ‘fingerprinting’ method has drawn much attention recently. However, the labor of site surveys and a constantly changing environment prevents ‘fingerprinting’ from being an eificient solution. Therefore,...
The main aim of recognising gestures is to build a system that can identify human gestures that are specific and then to use them to put forth desired information to the device. By using mathematical algorithms, human gestures can be interpreted. This is referred to as Gesture Recognition. Mudra is an expressive form of gesture that is mainly used in Indian classical dance form where the gesture is...
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