Results 1 to 10 of about 92,534 (217)

Comparison of Novel Recurrent Neural Network Over Artificial Neural network in Predicting Email spammers with improved accuracy [PDF]

open access: yesE3S Web of Conferences, 2023
The main aim is to compare Novel Recurrent Neural Network over Artificial Neural Network in predicting Email spammers with improved accuracy. Material and Methods : This research study contains two groups namely Novel Recurrent Neural Network and ...
Neeharika Chillakuru, Kalaiarasi S.
doaj   +1 more source

Survey on Evolutionary Recurrent Neural Networks [PDF]

open access: yesJisuanji kexue, 2023
Evolutionary computation utilizes natural selection mechanisms and genetic laws in the process of biological evolution to solve optimization problems.The accuracy and efficiency of the evolutionary recurrent neural network model depends on the ...
HU Zhongyuan, XUE Yu, ZHA Jiajie
doaj   +1 more source

Research on recurrent neural network model based on weight activity evaluation [PDF]

open access: yesITM Web of Conferences, 2022
Given the complex structure and parameter redundancy of recurrent neural networks such as LSTM, related research and analysis on the structure of recurrent neural networks have been done.
Zhang Cheng   +5 more
doaj   +1 more source

Recurrent neural network optimization for wind turbine condition prognosis

open access: yesDiagnostyka, 2022
This research focuses on employing Recurrent Neural Networks (RNN) to prognosis a wind turbine operation’s health from collected vibration time series data, by using several memory cell variations, including Long Short Time Memory (LSTM), Bilateral LSTM (
Kerboua Adlen, Kelaiaia Ridha
doaj   +1 more source

Improvement of voltage stability for grid connected solar photovoltaic systems using static synchronous compensator with recurrent neural network

open access: yesElectrical engineering & Electromechanics, 2022
Purpose. This article proposes a new control strategy for static synchronous compensator in utility grid system. The proposed photovoltaic fed static synchronous compensator is utilized along with recurrent neural network based reference voltage ...
T. Praveen Kumar   +2 more
doaj   +1 more source

Klasifikasi Teks Hadis Bukhari Terjemahan Indonesia Menggunakan Recurrent Convolutional Neural Network (CRNN)

open access: yesJurnal Teknologi Informasi dan Ilmu Komputer, 2021
Hadis merupakan sumber hukum dan pedoman kedua bagi umat Islam setelah Al-Qur’an dan banyak sekali hadis yang telah diriwayatkan oleh para ahli hadis selama ini.
Muhammad Yuslan Abu Bakar   +1 more
doaj   +1 more source

Recurrent Neural Network and Auto-Regressive Recurrent Neural Network for trend prediction of COVID-19 in India [PDF]

open access: yesITM Web of Conferences, 2022
On 31st December 2019 in Wuhan China, the first case of Covid-19 was reported in Wuhan, Hubei province in China. Soon world health organization has declared contagious coronavirus disease (COVID-19) as a global pandemic in the month of March 2020.
Bouhaddour Samya   +4 more
doaj   +1 more source

Minute-wise frost prediction: An approach of recurrent neural networks

open access: yesArray, 2022
Frost events incur substantial economic losses to farmers. These events could induce damage to plants and crops by damaging the cells. In this article, a recurrent neural network-based method, automating the frost prediction process, is proposed.
Ian Zhou   +3 more
doaj   +1 more source

Speech Command Recognition using Artificial Neural Networks

open access: yesJOIV: International Journal on Informatics Visualization, 2020
Speech is one of the most effective way for human and machine to interact. This project aims to build Speech Command Recognition System that is capable of predicting the predefined speech commands. Dataset provided by Google’s TensorFlow and AIY teams is
Sushan Poudel, Dr. R Anuradha
doaj   +1 more source

A Novel Recurrent Neural Network to Classify EEG Signals for Customers' Decision-Making Behavior Prediction in Brand Extension Scenario

open access: yesFrontiers in Human Neuroscience, 2021
It was meaningful to predict the customers' decision-making behavior in the field of market. However, due to individual differences and complex, non-linear natures of the electroencephalogram (EEG) signals, it was hard to classify the EEG signals and to ...
Qingguo Ma   +7 more
doaj   +1 more source

Home - About - Disclaimer - Privacy