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[PDF] Top 20 A Wavelet neural network for detection of signals in communications

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A Wavelet neural network for detection of signals in communications

A Wavelet neural network for detection of signals in communications

... tested for several types of modulation systems and different kinds of ...noise. For binary signals the probability of error has resulted sligthly higher to the obtained in ... See full document

9

Non invasive monitoring of transformers using the frequency response from controlled transient signals

Non invasive monitoring of transformers using the frequency response from controlled transient signals

... performed in several power system studies like: fault detection, system protection, power quality disturbances detection and modal analysis, among ...analysis of current and voltage ... See full document

11

WAVELET Q-FISHER INFORMATION FOR SCALE-INVARIANT NETWORK TRAFFIC

WAVELET Q-FISHER INFORMATION FOR SCALE-INVARIANT NETWORK TRAFFIC

... problem of detecting level shifts embedded in scaling ...as of sufficient importance because it impacts the estimation of the scaling parameter α ...concept of wavelet q-Fisher ... See full document

19

A CAD System for the Automatic Detection of Clustered Microcalcifications in Digitized Mammogram Films

A CAD System for the Automatic Detection of Clustered Microcalcifications in Digitized Mammogram Films

... Abstract—Clusters of microcalcifications in mammograms are an important early sign of breast ...system for the automatic detec- tion of clustered microcalcifications in digitized ... See full document

12

Neural Controller for PTZ cameras based on nonpanoramic foreground detection

Neural Controller for PTZ cameras based on nonpanoramic foreground detection

... controller for PTZ cameras based on an unsupervised neural network model is ...advantage of the foreground mask generated by a non- parametric foreground detection ...movements ... See full document

8

Time-Frequency techniques for the detection of signals in non-stationary environments

Time-Frequency techniques for the detection of signals in non-stationary environments

... unknown signals consist in taking energy measurements during a lapse of time, within a given bandwidth, as is made by ...evolution of the waveforms transmitted by radar and ... See full document

88

Techniques of Acquisition and Processing of Electrocardiographic Signals in the Detection of Cardiac Arrhythmias

Techniques of Acquisition and Processing of Electrocardiographic Signals in the Detection of Cardiac Arrhythmias

... development of ambulatory monitoring systems and its electrocardiographic (ECG) signal processing techniques has become an important field of investigation, due to its relevance in the early ... See full document

10

Neural Network Reorganization Analysis During an Auditory Oddball Task in Schizophrenia Using Wavelet Entropy

Neural Network Reorganization Analysis During an Auditory Oddball Task in Schizophrenia Using Wavelet Entropy

... substrates in SCH may be modified, at least in some cases, by a deficit in neural network reorganization during simple and complex tasks ...[5]. In this context, several studies ... See full document

16

Deep neural network approaches for spanish Sentiment analysis of short texts

Deep neural network approaches for spanish Sentiment analysis of short texts

... opment of Natural Language Processing (NLP) techniques for this language did not follow the same ...trend. In particular, this research gap can be observed in Spanish sentiment ...analysis ... See full document

29

Neural visualization of network traffic data for intrusion detection

Neural visualization of network traffic data for intrusion detection

... Intrusion Detection System (IDS) called MOVCIDS (MObile Visualization Connectionist ...applies neural projection architectures to detect anomalous situations taking place in a computer ...overview ... See full document

53

Evaluacin de tejido cervical infectado y sano utilizando un sistema LIFS y una red neuronal Back Propagation

Evaluacin de tejido cervical infectado y sano utilizando un sistema LIFS y una red neuronal Back Propagation

... characteristics of the measured fluorescence. In this work, we perform preliminary testing on cervix tissue biopsies in order to develop a LIFS-system for the in vivo detection ... See full document

6

Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks

Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks

... method for detecting MCs in the regions of interest (ROIs) extracted from digitized mam- mograms is ...purpose of this method is to provide an automatic MC detection system that can ... See full document

11

Facial detection and expression recognition applied to social robots

Facial detection and expression recognition applied to social robots

... 103]. In [36] the authors proposed a model based on single Deep Convolutional Neural Networks (DNNs), which contain convolution layers and deep residual ...combination of CNN and a specific image ... See full document

119

Implementation of Machine Learning techniques and Artificial Intelligence for the intrusion detection in communications networks

Implementation of Machine Learning techniques and Artificial Intelligence for the intrusion detection in communications networks

... labelled for classification to provide a learning basis for future data ...problems. In a regression problem, it is trying to predict results within a continuous output, meaning that it is trying to ... See full document

64

Detection of Acoustic Patterns in Broadcast News using Neural Networks

Detection of Acoustic Patterns in Broadcast News using Neural Networks

... obtained in a Pentium IV computer operating at ...capable of correctly tagging all the time frames that belong to the jingles, the percentage of content retrieve approaches ...100%. In the ... See full document

6

CIRCUITS AND SYSTEMS IN STRESS.pdf

CIRCUITS AND SYSTEMS IN STRESS.pdf

... challenge of pharmacologic provocation of PTSD symptoms and traumatic remembrance [Semple et ...differences in meta- bolic response to noradrenergic challenge in PTSD, showing a pattern ... See full document

25

Implementación de Redes Generativas Adversarias (GANs) para la generación de imágenes de tejido humano

Implementación de Redes Generativas Adversarias (GANs) para la generación de imágenes de tejido humano

... library for high performance numerical ...deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge ...support ... See full document

50

Sequential detection of artifacts in electroencephalographic signals using nonparametric statistical methods

Sequential detection of artifacts in electroencephalographic signals using nonparametric statistical methods

... premise of no previous knowledge of the artifactual signals characteristics, but only that they appear mainly as transients or noise-like in ...EEG signals, but it can be combined with ... See full document

163

TítuloComputational models of neuron astrocyte interactions lead to improved efficacy in the performance of neural networks

TítuloComputational models of neuron astrocyte interactions lead to improved efficacy in the performance of neural networks

... interaction in the ANGN imple- mented in our previous work constituted what we have called a neuron-glia ...effect of astrocyte (see Section 3), tried to imitate a behavior observed between neurons ... See full document

10

Learning and validation in neural network ensembles

Learning and validation in neural network ensembles

... algorithms for ensemble ...described in [6]; the results for Single correspond to the average performance of a single ...realizations of training and test ... See full document

3

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