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Search results for: neural network
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Year: 2013, Volume: 13, Number: 1
... 2013 Segmentation of Bone Structure in X-ray Images using Convolutional Neural Network Cosmin CERNAZANU-GLAVAN, Stefan HOLBAN Politehnica University of ... presented for the first time by present, the convolutional networks are the best techniques for Fukushima [1] ... 1980) by using a network architecture image segmentation. This fact is demonstrated by their wide (Neocognitron) ...
Year: 2022, Volume: 22, Number: 1
... within the dataset is very ï‚· The success of Recurrent Neural Networks (RNN) in similar to normal traffic ... A Hybrid Deep Learning Approach for Intrusion Detection in IoT Networks Murat EMEÇ, Mehmet Hilal Ã-ZCANHAN Department of Computer ... . With increasing mission- every IoT device on the network. Therefore, IoT devices are critical IoT data ...
Year: 2019, Volume: 19, Number: 2
... A Diagonally Weighted Binary Memristor Crossbar Architecture Based on Multilayer Neural Network for Better Accuracy Rate in Speech Recognition Application ... by Hewlett-Packard lab and completely made based on multilayer neural networks is proposed in the speech in 2008, has ... a new research field in applying the recognition application. Here, the memristor crossbar circuit memristor device to neuron ...
Year: 2023, Volume: 23, Number: 2
... examines classes of epilepsy. the performance of the convolutional neural network (CNN) In general, two tasks ... a dataset of features extracted from the EEG convolutional neural networks and support vector machines. signal, and the ... is trained with a dataset of Scalogram In addition, efficient heuristics for selecting electrodes are images from the EEG ...
Year: 2017, Volume: 17, Number: 3
... contains a USB interfaced multichannel learning methods such as Artificial Neural Networks (ANN) data acquisition (DAQ) ... and a graphical user interfaced [1 ], [2 ], [7-9], decision trees ( ... are many powerful automatic power quality technique combined with neural network model to build the detection and recognition systems developed ...
Year: 2007, Volume: 7, Issue: 1
... . Autonomous Adaptive Control Method//Optical Memory and Neural [14] Nesteruk G. Ph., ... Kupriyanov M. C. (2003) Neural-fuzzy systems Network, Vol. 9, No 2,- ... ), Number 1 (27), 2007 Adaptive Networks Safety Control on Fuzzy Logic Vadim MUKHIN1, Elena ...
Year: 2018, Volume: 18, Number: 3
... Engineering Volume 18, Number 3, 2018 Pulse Coupled Neural Network based Near- Duplicate Detection of Images ( ... copyright protection, feature extraction, image processing, neural networks. I. INTRODUCTION a) Original Image b ... ND Image In this modern era, exposures to social network and in Figure 1. Example of ND Image ...
Year: 2020, Volume: 20, Number: 2
... The ARIMA is widely Machine (SVM), Autoregressive Neural Network, LSTM, used because of its simplicity ... a prediction model for the models such as artificial neural networks (ANNs) have been activities of companies [ ... ] using the exponential proposed [10]. The ANNs can be used to predict the next correction, ...
Year: 2014, Volume: 14, Number: 1
... the model performed by Learning (ML) and Artificial Neural Networks (ANN) have Multilayer Perceptron classifier has ... best performance been applied to solve the STLF problems [1]. compared to the models of other classifiers ... function for an artificial neural functioning of the developed neural network (NN) method network in their study. ...
Year: 2019, Volume: 19, Number: 4
... , pp. 452-454, August 2006. doi: neural network for forecasting electricity demand," Energies, ... the stated problem are explained. Design of the matching networks For a dual band operation matching network design with ... Volume 19, Number 4, 2019 Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm Sadık ÜLKER Electrical ...
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