A Neural Network-Prepended GLRT Framework for Signal Detection Under Nonlinear Distortions

Hybrid Bayes/GLRT Signal Detection

Obtain a new formulation of the GLRT that avoids enumeration and is computationally feasible by replacing intractable enumeration over possible signal characteristics with an a priori signal distribution, and by estimating the hyperparameters (of the prior distribution) jointly with other signal parameters, it is possible to It turns out that this estimation can be done very efficiently and nea...

A New Approach for Investigating the Complexity of Short Term EEG Signal Based on Neural Network

 Background and purpose: The nonlinear quality of electroencephalography (EEG), like other irregular signals, can be quantified. Some of these values, such as Lyapunovchr('39')s representative, study the signal path divergence and some quantifiers need to reconstruct the signal path but some do not. However, all of these quantifiers require a long signal to quantify the signal complexity. Mate...

A Probabilistic Neural Network Framework for Detection of Malignant Melanoma

A New Method for Intrusion Detection Using Genetic Algorithm and Neural Network

    The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...

A Two-Dimensional Convolutional Neural Network for Brain Tumor Detection From MRI

Aims: Cancerous brain tumors are among the most dangerous diseases that lower the quality of life of people for many years. Their detection in the early stages paves the way for the proper treatment. The present study aimed to present a two-dimensional Convolutional Neural Network (CNN) for detecting brain tumors under Magnetic Resonance Imaging (MRI) using the deep learning method. Methods & ...